diff --git a/README.md b/README.md
index 467380fd36..04cb43a948 100644
--- a/README.md
+++ b/README.md
@@ -173,7 +173,7 @@ Conversions are explicitly marked: their upstream weights need the linked conver
 | GLM-5.3-Flash, FP4-Local | `tensorfold pull nvidia/GLM-5.3-Flash-FP4-Local@76348ddb2be2e35e39ecfc00e75dc07703f4f3d5` | Two GB10s at TP=2, or three at TP=3 over a ring of direct links: @Bizuayeu loaded it as stored and served it at both sizes. 165.3 GiB of weights, 13% less than NVFP4's 190.4 GiB. | [Native CUDA](docs/recipes/glm-5.3-flash-cuda.md), in 1.1.5 (#1050). NVIDIA's mixed-precision checkpoint: NVFP4 routed experts with compressed block scales, MXFP8 and 128×128-block FP8 for most of the rest. As close to BF16 as NVFP4 at its smaller size: at TP=2 its NLL is 1.11% above BF16's against NVFP4's 1.37% ([contributed receipt](docs/receipts/glm-fp4local-80517fc3/README.md) on #1050's head, not rerun on main), a difference the per-document intervals in [XSFP4's card](https://huggingface.co/Bizuayeu/GLM-5.3-Flash-XSFP4#measured) do not resolve. |
 | GLM-5.3-Flash, XSFP4 | `tensorfold pull Bizuayeu/GLM-5.3-Flash-XSFP4@88736f916f8939607fde8a4b881dcae749f7551d` | Two GB10s at TP=2, or three at TP=3 over a ring of direct links: on main `8086c205c` @Bizuayeu loaded it in 370.7 s at TP=2 (rank 0's model 96.97 GiB at a 524,288-token window) and in 313.8 s at TP=3 (63.60 GiB at 1,048,576), and both served. 165.7 GiB of weights, 0.4 GiB more than FP4-Local's. | [Native CUDA](docs/recipes/glm-5.3-flash-cuda.md), in 1.1.5 through FP4-Local's path. FP4-Local with its routed experts' NVFP4 blocks fitted again from the BF16 weights, a smoothing folded into them, so it runs on the same kernels. Closer to BF16 than FP4-Local and NVFP4 at TP=2 by all three measures in [its card](https://huggingface.co/Bizuayeu/GLM-5.3-Flash-XSFP4#measured), on #1050's code: top-1 agreement 93.26%, NLL 0.85% above and a KL bound of 0.0431, against FP4-Local's 92.82%, 1.11% and 0.0510. |
 | GLM-5.3, EXLR8 `home` | `tensorfold pull kindlingai/glm-5.3-exlr8-k2-k3-k4@f459f5d0272a529403dd9b3fd32f771f4250a0d4 --exlr8 home --node 0/2 --dir ~/models/glm-5.3-exlr8-home` | Two M5 Ultra Macs, 256 GB each; about 160 GB resident per Mac at 8k context / four streams. | [Two-Mac recipe](docs/glm-5.3-exlr8.md). Use `--node 1/2` on the other Mac; Thunderbolt 5 and MCDMA required. No CUDA backend. |
-| LFM2.5-24B-A2B, MLX 4 / 6 / 8-bit | `tensorfold pull LiquidAI/LFM2.5-24B-A2B-MLX-4bit@667408d494bde191c2cb9dd4f4549827816b9275`<br>`tensorfold pull LiquidAI/LFM2.5-24B-A2B-MLX-6bit@1deec53eb49571e21cdcbf82fd5839248f07ed88`<br>`tensorfold pull LiquidAI/LFM2.5-24B-A2B-MLX-8bit@67ab417dd02d0c9545802a726df668620eae049d` | One Mac; M4 Pro checked. | [Native recipe](docs/recipes/lfm2.5-24b-a2b.md), [release history](CHANGELOG.md). |
+| LFM2.5-24B-A2B, MLX 4 / 6 / 8-bit | `tensorfold pull LiquidAI/LFM2.5-24B-A2B-MLX-4bit@667408d494bde191c2cb9dd4f4549827816b9275`<br>`tensorfold pull LiquidAI/LFM2.5-24B-A2B-MLX-6bit@1deec53eb49571e21cdcbf82fd5839248f07ed88`<br>`tensorfold pull LiquidAI/LFM2.5-24B-A2B-MLX-8bit@67ab417dd02d0c9545802a726df668620eae049d` | One Mac; M4 Pro checked. | [Native recipe](docs/recipes/lfm2.5-24b-a2b.md), [release history](CHANGELOG.md). LiquidAI's DSpark drafter with `--drafter`. |
 | Qwen3.6-35B-A3B, MLX with MTP | `tensorfold pull TensorFold/Qwen3.6-35B-A3B-MLX-4bit-MTP@81169a9bc511a27c1b4eedb77a2cd98ced431847` | One GB10; 20.9 GB checkpoint. | [Qwen3.6](docs/recipes/qwen3.6-moe.md). Native CUDA; the recipe's Metal path belongs to Python. |
 | Gemma 4 31B, MLX 4-bit | `tensorfold pull mlx-community/gemma-4-31B-it-4bit@696d436c404745a59f30e4939a658162b0a9e57f`<br>`tensorfold pull z-lab/gemma-4-31B-it-DFlash@eabd648301ce28583cc14757912e5e0f84e152e1` | One M5 Mac; M5 Ultra checked. M1-M4 refused. | [Native 31B](docs/recipes/gemma-4-native.md). Name the drafter with `--drafter`; images with `--vision`. |
 | Gemma 4 12B, converted MLX 4-bit | `hf download google/gemma-4-12B-it --revision 707f0a3b8a3c7ad586ed01e27eafbad8a27dd0f7 --local-dir ~/models/gemma-4-12b-hf`<br>`hf download google/gemma-4-12B-it-assistant --revision 46d4c6f13f0ac0ad827b915669b8df9b81c64c51 --local-dir ~/models/gemma-4-12b-assistant` | One M5 Mac; converted text weights 6.3 GB, image weights 100 MB, plus assistant/caches. M1-M4 refused. | [Convert and serve](docs/recipes/gemma-4-12b-native.md). Upstream download needs `hf`; conversion needs Python, mlx and mlx-lm. Serving is native. |
@@ -290,7 +290,7 @@ The binary's `capabilities --json` response lists its supported flags and platfo
 | `--loop-guard-stop` | As `--loop-guard`, but end the reply where the guard fires: the reasoning so far, no answer or tool calls, `finish_reason` `content_filter` and a `reasoning_loop` error ([API](docs/api.md)). |
 | `--no-drafts` | Produce the plain reference through the same engine. |
 | `--drafter DRAFTER` | An external drafter, as a directory or a repo id in the Hugging Face cache, for models that take one: Qwen3.8-27B uses DFlash2 and Gemma 4 31B the drafter named in its recipe. Without one they decode plain. |
-| `--drafter-bits 0\|4` | Drafter weight precision where the model offers a choice: 4 bits (the default), or 0 to keep bf16. Qwen3.8-27B on CUDA takes 4 only. |
+| `--drafter-bits 0\|4\|8` | Drafter weight precision where the model offers a choice: 4 bits (the default), or 0 to keep bf16. Qwen3.8-27B on CUDA takes 4 only. LFM2.5-24B-A2B's DSpark drafter runs bf16 as released (0, the default when not given) or 8-bit codes quantized at load (8); it has no 4-bit mode. |
 | `--record DIR` | Write each stream's committed tokens, positions and tapped rows under DIR, for drafter training. CUDA Nemotron only; a single stream runs through the lane rounds, and recording stops below 25 GiB free disk. |
 | `--keep-warm SECONDS` | Keep the Metal GPU active while idle for this long after a request, default 900; zero disables it. |
 | `--cfg-gamma GAMMA` | Metal Drama speech: semantic guidance strength, finite 1–5; 0/default disables it. Only reference-conditioned requests are guided. Enabled replies report `X-Cfg-Gamma`; codec heads stay conditional. |
diff --git a/docs/kernel-contract.md b/docs/kernel-contract.md
index 1ed43ac146..b04aa6996b 100644
--- a/docs/kernel-contract.md
+++ b/docs/kernel-contract.md
@@ -135,8 +135,10 @@ tile_qmm's pipelines and GLM-5.3-Flash's hc_expand_10.
 LFM2.5-24B-A2B's shared rounds: the greedy pick (`lfm2_argmax`) and the conv and attention kernels that run every
 stream's rows in one dispatch, each bit-equal to the per-stream kernels it replaces. Four controls edit the source: a tie
 to the highest id, a nonfinite logit not flagged, and every stream reading or writing the first stream's state or cache.
-Their launches are in `lfm2_records.zig` with the M1 and M2 limits from `--offline`; `lfm2_attn_segs` reserves its 128
-threads in its source, as Metal cannot build it for M1 or M2 at another count.
+The DSpark drafter's tap copy, Markov scan and pick, draft ids, block attention and confidence logit are there too, with seven more controls.
+Its bf16 linears (few rows, 64x64 tiles) and the Markov scan over a bf16 W2 have four and two more.
+Their launches are in `lfm2_records.zig` with the M1 and M2 limits from `--offline`; `lfm2_attn_segs` and
+`lfm2_attn_block` reserve their 128 threads in their source, as Metal cannot build them for M1 or M2 at another count.
 Metal also checks Nemotron's routed experts on the engine's route tables, one row to 128: `tf_xup_w3` and `tf_xdown_w3`
 against float64 at tf_load16's bf16 x sums (up's relu2 as an interval over its two bf16 roundings), and the rows2, rows4
 and six geometry pipelines of each projection bit-equal to them (two controls: member rows read from one row, and
diff --git a/docs/receipts/lfm2-dspark-review/README.md b/docs/receipts/lfm2-dspark-review/README.md
new file mode 100644
index 0000000000..4a2a6f409a
--- /dev/null
+++ b/docs/receipts/lfm2-dspark-review/README.md
@@ -0,0 +1,273 @@
+# DSpark review fixes on current main
+
+Source `14565fa73`, rebased onto main `d0c9dc9fb`, tested on 2026-10-28.
+Apple M4 Pro, 20 GPU cores, 48 GiB RAM, macOS 26.5.1, Zig 0.17.0,
+Apple Metal compiler 32023.883. Builds target `apple_m1`.
+
+The shared and lone guards from the rejected PRs are absent. The lane core retains
+confidence/grant pricing, hold-cost pricing and `copy_first`. Hold ordering reuses
+one bounded allocation instead of allocating on every round. The initialization
+cleanup releases Metal buffers before their owning list; injected scratch and warm
+allocation failures exercise that path. Config admission refuses rank above 256 and
+nonfinite f32 RoPE theta. The quantizer test widens its size calculation before
+multiplication, and `--drafter` refuses a target restricted to one-row verification.
+
+## Checks
+
+- `zig build test test-kernel-contract test-golden fuzz-cortheon native dev-tools -Dcpu=apple_m1 --summary all`:
+  749/749 steps succeeded; 8,414 tests passed, 46 skipped, 0 failed.
+- `zig build -Dcpu=apple_m1 --summary all`: 239/239 steps succeeded.
+- `zig build test-lfm2 test-lfm2-dspark -Dcpu=apple_m1 --summary all`:
+  111/111 tests passed. The final scratch/warm failure test also passed in a subsequent
+  focused run: 51/51 DSpark tests.
+- `zig build test-lfm2-dspark -Dcpu=apple_m1 -Doptimize=debug --summary all`:
+  51/51 passed, including both injected allocation failures.
+- Debug `zig test` on `dspark_config.zig`: 4/4 passed; on `dspark_quant.zig`: 2/2 passed.
+  The original quantizer test from `2e5966f68` aborted with integer overflow in Debug.
+- `zig fmt --check zig` and `git diff --check`: passed.
+- Lean: 428 findings on main, 428 on this source, 0 new.
+- `tf-kernel-contract --only lfm2`: 11 kernels passed gates 1-4, 0 failures,
+  0 known findings; all 17 planted controls red, 0 missed; 0 limit problems.
+- `tf-kernel-contract --only tile_qmm`: 6 kernels passed gates 1-4, 0 failures,
+  0 known findings; 0 limit problems.
+- `tf-lfm2-dspark MODEL DRAFTER 256`: 9/9 drafts equal the independent fp32
+  reference's picks; maximum confidence difference 0.00106; 20 steady drafter
+  rounds had zero host allocations and resizes; exit 0.
+- Completed `tf-lfm2-exact`: 72/72 checks on both M4 Pro and M5 Ultra, zero
+  failures or skipped checks. This supersedes the earlier interrupted run.
+
+## Served equality
+
+Target `LiquidAI/LFM2.5-24B-A2B-MLX-4bit` at
+`667408d494bde191c2cb9dd4f4549827816b9275`, with the local released DSpark weights.
+The drafter safetensors SHA-256 is recorded in the accompanying JSON.
+
+For both default bf16 and explicit `--drafter-bits 8`, serve with `--parallel 16
+--context 4096 --prompt-cache-gib 0 --keep-warm 0`. Run:
+
+```sh
+python3 tools/bench_concurrent.py http://127.0.0.1:18194 review \
+  --tokens 64 --reps 1 --temperatures 0 --levels 1,4,8,16 --alone --serial
+python3 tools/bench_concurrent.py http://127.0.0.1:18194 review \
+  --tokens 64 --reps 1 --temperatures 0 --levels 1,4,8,16 --alone --serial \
+  --prompts tools/bench_prompts.json
+```
+
+Each precision mode passed all 12 cells: eight same-prompt cells (code and chat)
+and four distinct-prompt cells. Concurrent replies equal solo replies and drafted
+solo replies equal `"draft": false` token hashes. Zero unequal replies and zero
+failed requests. [Equality evidence](equality-and-load.json) retains per-request
+concurrent, solo and plain token hashes.
+
+These are short correctness checks, with one repetition, while builds were also
+running. Their timings do not establish the decode performance gate.
+
+## Peak during load
+
+One model process at a time under a model lock. Both servers used the same target
+and bf16 drafter, `--parallel 1 --context 4096 --prompt-cache-gib 0 --keep-warm 0`.
+Read `/memory` after readiness and before sending any request. Its lifetime peak
+agreed with `/usr/bin/time -l` at process exit.
+
+- Exact #1392 head `1bb6e5db2`: 16,036,097,352 bytes, 14.935 GiB.
+- Corrected stack source `14565fa73`: 15,527,930,776 bytes, 14.462 GiB.
+
+The measured reduction during load is 508,166,576 bytes (484.6 MiB). This compares
+the original pre-allocation head with the corrected stack rebased onto current
+main; it is not an isolated comparison of #1393's commit on the same base.
+
+## Extended qualification on the published stack
+
+Source `2dbbc0e8f`, main baseline `d0c9dc9fb`. Additional device: Apple M5 Ultra,
+256 GiB RAM, macOS 27.0, Metal compiler 32023.921.6, Zig 0.17.0.
+[Extended evidence](extended-qualification.json) retains request hashes, counters,
+per-round throughput and latency. Generated text and token arrays are omitted.
+[Reproduction harness](qualification.py) supports `functional`, `long`,
+`performance`, `performance qwen`, and `cold`; set `TF_QUAL_MAIN`,
+`TF_QUAL_CANDIDATE`, `TF_QUAL_MODEL`, `TF_QUAL_DRAFTER`, and `TF_QUAL_OUT`
+for the local installations. Run one model process at a time.
+
+Both devices passed real two-turn resumed-versus-fresh chat equality (3,517 cached
+prompt tokens), 29 seeded sampled equality cases across 1/4/8/16 streams, and
+cancellation/replacement stress with Metal API validation enabled. M4 completed
+143 requests with 84 cancellations at six slots and 252 with 134 at sixteen;
+M5 completed 453 with 247 and 852 with 459 respectively. Zero wrong replies or
+request errors. Server shutdowns were graceful.
+
+M5 plain/drafted serving hashes agree at 4,096, 16,384, 65,536 and 130,816 prompt
+tokens. Independent fp32 drafter checks agree on all nine picks at histories
+65,535 and 130,815; maximum confidence differences 0.00532 and 0.00351.
+Twenty steady rounds had zero host allocations/resizes. M5 also passes the same
+11 LFM2 and six tile_qmm contracts, with all 17 LFM2 planted controls red.
+
+### Performance remains an open issue
+
+Three alternating rounds per arm, 256 generated tokens, 1/4/8/16 streams,
+32-token warmups and uncached prompts. Aggregate decode rate uses the span from
+the earliest first token to the latest last token. The `chat` fixture label in
+the JSON means prose submitted to raw completions, not a templated chat request.
+All cross-arm output hashes agree. These results do **not** clear a no-loss gate.
+
+On M5, drafted versus main-plain median decode changes for code at 1/4/8/16
+streams are +19.44%, -0.96%, -2.20%, -4.23%; for prose they are +35.89%,
+-0.72%, -1.25%, -1.17%. Candidate-plain closely follows main-plain.
+On M4, changes are approximately -6.0%, -13.9%, -5.6%, +0.7% for code and
+-6.4%, -13.4%, -7.8%, -8.0% for prose. M4 also shows variation between plain
+arms, so these measurements do not isolate every source of the loss.
+
+M5 cold prefill medians at 2k/8k/32k/64k tokens are 0.1527/0.6027/2.9244/7.3276
+seconds on main-plain versus 0.1634/0.6327/3.0466/7.5652 with the drafter.
+Prompt counts were checked and cached-token counts were zero.
+
+Other-family Qwen3.8-27B plus DFlash2 was tested at one and four streams with
+three alternating rounds on both devices. M4 results vary with each executable's
+independently measured persistent cost record: fresh records give code changes
+of -7.13%/+3.71% and prose -6.47%/+0.83%. The original records and fresh-record
+runs are both retained. No timings were copied between executables. M5 changes are +0.20%/-0.47% for code and +0.05%/+0.70% for prose.
+No blanket other-family performance pass is claimed.
+
+Two isolated, uncommitted experiments (a larger absorb staging buffer and
+removing forced per-stream copy pricing) did not consistently remove the loss.
+Neither experiment is part of this PR. Further pricing work requires its own
+validation; the rejected shared/lone guards have not been restored.
+
+M1, M2, M3, CUDA and HIP were not rerun for this revision. Focused Metal checks
+are not a full cross-family kernel-contract receipt. All nine GitHub checks passed on `2dbbc0e8f` before this receipt-only update.
+
+### Performance follow-up (`b4deee277`, M4 and M5)
+
+Candidate source `b4deee277` keeps context ingestion on the original bf16 row
+kernel through 32 rows, and uses the existing tiled kernel for held blocks past
+16 rows. It measures each admissible held depth and interpolates neighboring
+measured prices. The hold-price unit test covers a nonlinear timing curve.
+Qwen/DFlash2 dispatch and scheduling are unchanged; only LFM2 supplies this hold
+price table.
+
+`performance-investigation.json` retains all 64 M4 comparison cells, their output
+hashes, source hashes and actual arm order. Four-round median changes against
+the published PR are +1.06%, +0.55%, effectively flat and +0.57% for code at
+1/4/8/16 streams; prose changes are +0.27%, +0.75%, +0.41% and +0.42%.
+The 43.99 tok/s lone-code outlier is retained. The final arm order repeats the
+previous order, so this is not a perfectly balanced four-round experiment.
+All reply hashes agree. Independent fp32 drafter picks agree in all nine cases.
+Focused DSpark, shared-lane equality and native-option checks pass: 49 build
+steps and 56 tests. Formatting, whitespace and harness syntax checks pass.
+These small gains do not establish a no-loss result against main.
+
+An earlier candidate changed context projections as well as held blocks and
+regressed M4 16-stream prose by 8.38%. Preserving context projections removes
+that regression in this comparison, supporting context arithmetic as a cause.
+A separate acceptance-cap scheduler experiment lost roughly 2–3% in some M5
+cells and is excluded. Faster individual holds alone did not guarantee faster
+serving. The exact retained candidate also completed M5 validation, with source hashes
+matching this tree and tested executable hashes retained in the JSON receipt.
+
+
+M5 completed 72 cells in three Latin rotations of main without the external
+DSpark drafter, the published PR and the candidate. Four-round M4 and three-round
+M5 results use the same 256-token requests and aggregate decode metric. The main
+arm still permits suffix copying; it is not the literal `"draft": false` oracle.
+Candidate versus published median changes at 1/4/8/16 streams are -0.26%, +0.04%,
++0.31%, +0.58% for code and -0.04%, -0.02%, +0.06%, +0.72% for prose.
+Against main, code is +21.87%, -0.90%, -2.22%, -3.51%; prose is +36.18%, -0.55%,
+-1.19%, -0.36%. Wider concurrency therefore still does not clear a no-loss gate.
+
+Final M5 LFM2 contracts: 11 pass, zero failures, all 17 planted controls red,
+zero limit problems. Independent FP32 drafter picks agree in all nine cases,
+with zero host allocations/resizes in 20 steady rounds. Resumed/fresh equality,
+29 seeded sampled cases, eight 8-bit cells across 1/4/8/16 streams, and long
+contexts of 65,536 and 130,816 tokens (drafted/undrafted and four concurrent/solo)
+all pass. Cancellation stress completes 423 requests with 234 cancellations at
+six slots and 827 with 445 cancellations at sixteen slots, zero wrong replies
+or request errors. All servers shut down gracefully. Hashes and counters are in
+`performance-investigation.json`. This extends, rather than replaces, the
+historical full forward/cache and qualification receipts above.
+
+After that qualification, main `dd0a9cc5e` was merged to resolve a new CLI
+conflict. The resolution retains main's drafter-name reporting and this stack's
+optional precision default. Native plus the same focused regression targets
+pass: 66/66 build steps, 56/56 tests. Lean compares at 425 findings on both main
+and the merged tree, zero new. Performance and served-GPU receipts above are
+for `b4deee277` before this merge; they are not relabeled as exact merged-head
+measurements.
+
+### Wide-batch calibration (`099455490`)
+
+LFM2 timed single-stream verification windows through 16 rows, but the core may
+verify 32 shared rows. It therefore priced the extra rows by proportional
+extrapolation. This revision measures the shared path with two individually
+qualified windows, and anchors its measured increments to the existing 16-row
+window cost. Per-stream qualification remains 16 rows. The granted-depth rule
+also reuses its first copy-proposer decision: asking again can mutate the
+proposer's silence state and change that same decision. A stateful regression
+reproduces the duplicate-query bug. Qwen/DFlash2's policy is unchanged.
+
+`wide-calibration-candidate.json` retains the exact source and executable hashes,
+checkpoint/tokenizer identities, rendered prompt IDs, all 128 cells, request
+SSE timing spans, output hashes and counters. Four Latin rotations compare main
+`dd0a9cc5e`, published head `68c7435b0`, candidate without the drafter, and
+candidate with bf16 drafting. Every output hash agrees. The plain performance
+arms keep suffix copying enabled; literal `"draft": false` is the separate
+correctness oracle.
+
+Against the published PR, candidate drafted code changes at 1/4/8/16 streams are
++0.48%, **-1.93%**, -0.01%, **+10.96%**; prose changes are +0.05%, -0.42%,
++0.50%, **+8.86%**. At 16 streams it also beats main: 886.46 versus 830.13 tok/s
+for code, and 862.91 versus 798.61 for prose. The task owner accepted the
+four-stream tradeoff for the larger sixteen-stream gain. This is not a universal
+no-loss claim. The candidate without the drafter also loses 2.04% on four-stream
+prose versus main; all four arms are retained, including that result.
+
+M5 final correctness passes all 11 LFM2 contracts, with all 17 planted controls
+red and zero limit problems; 9/9 independent FP32 drafter picks; 20 steady rounds
+with zero host allocations/resizes; resumed/fresh equality with 3,517 reused
+prompt tokens; 29 seeded sampled cases; eight 8-bit cells; and drafted/plain plus
+four-concurrent/solo equality at 65,536 and 130,816 prompt tokens. Six-slot stress
+completes 423 requests with 233 cancellations; sixteen-slot stress completes
+845 with 455 cancellations. Zero wrong replies or request errors; graceful
+shutdowns throughout.
+
+M4 passes the same 11 operator contracts and 17 controls, 9/9 independent drafter
+picks (worst confidence difference 0.00106), and 20 allocation-free steady
+rounds. Its served run stops at the resumed-cache prerequisite: the OS reports
+memory pressure and explicitly disables keeping prompt states, so reused tokens
+remain zero. Its later stress/sampled/8-bit phases did not run. No pressure guard
+was bypassed, and no new M4 serving or throughput qualification is claimed.
+
+Local native/family/shared-lane checks pass 69/69 steps and 117/117 tests. The
+default build passes 239/239 steps. The direct proposer regression, 14 granted
+and 34 copy-policy tests also pass. M5 pre-request, context-4096, one-stream bf16
+load peaks are 15,709,645,744 bytes for published and 15,733,451,768 for candidate
+(+22.7 MiB, one run each). Hot startup increases by roughly one second. Other
+chips/backends and the full cross-family operator gate were not rerun.
+
+`wide-calibration-ablations.json` retains 765 M5 diagnostic cells and 35 interrupted,
+contended M4 cells. Interrupted runs are marked; they are not qualification
+passes. Larger staging, changed copy-rate policies, confidence fallbacks and
+uniform late-hold budgeting were discarded rather than included in this patch.
+
+To reproduce the four-arm comparison, reserve the GPU exclusively and build
+all three checkouts with `zig build native -Dcpu=apple_m1 -Dversion=1.1.8`, then run:
+
+```sh
+TF_QUAL_MAIN=/path/to/main/zig-out/native/bin/tensorfold-native \
+TF_QUAL_PUBLISHED=/path/to/published/zig-out/native/bin/tensorfold-native \
+TF_QUAL_CANDIDATE=/path/to/candidate/zig-out/native/bin/tensorfold-native \
+TF_QUAL_CANDIDATE_ROOT=/path/to/candidate \
+TF_QUAL_DRAFTER=/path/to/LFM2.5-24B-A2B-DSpark \
+TF_QUAL_OUT=/tmp/tf-lfm2-wide-matrix \
+python3 docs/receipts/lfm2-dspark-review/wide_matrix.py
+```
+
+`TF_QUAL_MODEL` overrides the default target snapshot path. The reproducer uses
+only Python's standard library and the sibling `qualification.py` helper.
+
+### Allocation follow-up
+
+Probability fallback now overwrites its existing output buffer when a provider declines. Grafted probabilities fill the draft prefix directly in the final output. Structured-output held tokens are read directly into the final row buffer before grafts. Probability multiplication order, copy rates, parent indexing and decoding policy are unchanged.
+
+For `n` fallback probabilities this saves `8*n` arena bytes. For `d` drafted prefix nodes it saves `8*d` arena bytes plus their copy. With `h` held tokens and `g` graft tokens, grammar row assembly saves `4*(2*h+g)` arena bytes and the held/joined intermediate copies. These are per affected call, not reductions in model weights or a measured serving peak.
+
+The bounded-workspace regression permits only the final probability buffer, denies allocator growth, and covers both declined providers and grafted prefixes. The previous implementation fails it with OutOfMemory; the refactor passes. A grammar regression covers held-token and graft order, including replacing a rejected graft with grammar-generated tokens. The shared-lane/native host checks pass 57/57 steps, 341 tests passed and three skipped. The Metal draft-source fixture now initializes the shared timing count introduced by the calibration change; otherwise its deliberately undefined backend could crash.
+
+The M5 native build passes. An alternating before/after serving comparison at 1/4/8/16 streams is queued behind another qualification's GPU lock. No extra throughput improvement or universal no-regression result is claimed for this allocation-only follow-up yet.
diff --git a/docs/receipts/lfm2-dspark-review/equality-and-load.json b/docs/receipts/lfm2-dspark-review/equality-and-load.json
new file mode 100644
index 0000000000..f66ec3b0d4
--- /dev/null
+++ b/docs/receipts/lfm2-dspark-review/equality-and-load.json
@@ -0,0 +1,4517 @@
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index 0000000000..db8d93df99
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diff --git a/docs/receipts/lfm2-dspark-review/performance-investigation.json b/docs/receipts/lfm2-dspark-review/performance-investigation.json
new file mode 100644
index 0000000000..6bc04e9b0a
--- /dev/null
+++ b/docs/receipts/lfm2-dspark-review/performance-investigation.json
@@ -0,0 +1,1517 @@
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+    "One candidate lone-code cell was 43.99 tok/s; retained in the four-round median. No competing model process was observed when subsequently checked.",
+    "Four rounds were not perfectly balanced: the final order repeated published then candidate.",
+    "Earlier kernel/context candidate regressed M4 16-stream prose by 8.38%; the retained version preserves original context-ingestion arithmetic.",
+    "An acceptance-cap scheduler experiment lost 2\u20133% on some M5 workloads and is excluded."
+  ],
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+            "728482497427a444e71dbb503dd96423f4ffa65df139bf2fab5c08d9be44548b",
+            "728482497427a444e71dbb503dd96423f4ffa65df139bf2fab5c08d9be44548b",
+            "728482497427a444e71dbb503dd96423f4ffa65df139bf2fab5c08d9be44548b",
+            "728482497427a444e71dbb503dd96423f4ffa65df139bf2fab5c08d9be44548b",
+            "728482497427a444e71dbb503dd96423f4ffa65df139bf2fab5c08d9be44548b",
+            "728482497427a444e71dbb503dd96423f4ffa65df139bf2fab5c08d9be44548b",
+            "728482497427a444e71dbb503dd96423f4ffa65df139bf2fab5c08d9be44548b",
+            "728482497427a444e71dbb503dd96423f4ffa65df139bf2fab5c08d9be44548b",
+            "728482497427a444e71dbb503dd96423f4ffa65df139bf2fab5c08d9be44548b",
+            "728482497427a444e71dbb503dd96423f4ffa65df139bf2fab5c08d9be44548b",
+            "728482497427a444e71dbb503dd96423f4ffa65df139bf2fab5c08d9be44548b",
+            "728482497427a444e71dbb503dd96423f4ffa65df139bf2fab5c08d9be44548b"
+          ]
+        }
+      ],
+      "long_context": [
+        {
+          "length": 65536,
+          "plain_sha256": "c2ba0e4604c6beb356eefe87cdec6c938f5f4a484521bfd73e8f9e6b57bc22b6",
+          "solo_sha256": "c2ba0e4604c6beb356eefe87cdec6c938f5f4a484521bfd73e8f9e6b57bc22b6",
+          "concurrent_sha256": [
+            "c2ba0e4604c6beb356eefe87cdec6c938f5f4a484521bfd73e8f9e6b57bc22b6",
+            "c2ba0e4604c6beb356eefe87cdec6c938f5f4a484521bfd73e8f9e6b57bc22b6",
+            "c2ba0e4604c6beb356eefe87cdec6c938f5f4a484521bfd73e8f9e6b57bc22b6",
+            "c2ba0e4604c6beb356eefe87cdec6c938f5f4a484521bfd73e8f9e6b57bc22b6"
+          ]
+        },
+        {
+          "length": 130816,
+          "plain_sha256": "3cc9886102163ddcfa01f3a3f20f723929d6cb01e51cb4bd3e960f05ca0569c3",
+          "solo_sha256": "3cc9886102163ddcfa01f3a3f20f723929d6cb01e51cb4bd3e960f05ca0569c3",
+          "concurrent_sha256": [
+            "3cc9886102163ddcfa01f3a3f20f723929d6cb01e51cb4bd3e960f05ca0569c3",
+            "3cc9886102163ddcfa01f3a3f20f723929d6cb01e51cb4bd3e960f05ca0569c3",
+            "3cc9886102163ddcfa01f3a3f20f723929d6cb01e51cb4bd3e960f05ca0569c3",
+            "3cc9886102163ddcfa01f3a3f20f723929d6cb01e51cb4bd3e960f05ca0569c3"
+          ]
+        }
+      ],
+      "kernel_contract": "11 pass, 0 fail; 17 controls red, 0 missed; 0 limit problems",
+      "drafter_reference": [
+        "step 6: confidence reference 0.1449, GPU 0.1465",
+        "step 7: reference 496 (margin 1.722, second 55658), GPU 496 equal",
+        "step 7: confidence reference 0.1030, GPU 0.1027",
+        "step 8: reference 49 (margin 0.100, second 28358), GPU 49 equal",
+        "step 8: confidence reference 0.0880, GPU 0.0873",
+        "the reference's largest margin over a different GPU pick: 0.000",
+        "the confidences' worst difference from the fp32 reference: 0.00158",
+        "9 of 9 drafts equal the fp32 reference's picks on the same chain (255-token context)"
+      ]
+    }
+  }
+}
diff --git a/docs/receipts/lfm2-dspark-review/qualification.py b/docs/receipts/lfm2-dspark-review/qualification.py
new file mode 100644
index 0000000000..e0987af059
--- /dev/null
+++ b/docs/receipts/lfm2-dspark-review/qualification.py
@@ -0,0 +1,225 @@
+import concurrent.futures as cf
+import fcntl
+import json
+import os
+from pathlib import Path
+import random
+import signal
+import statistics
+import subprocess
+import sys
+import threading
+import time
+import urllib.request
+
+ROOT = Path(__file__).resolve().parents[3]
+OUT = Path(os.environ.get('TF_QUAL_OUT', '/tmp/tf1394-evidence'))
+OUT.mkdir(exist_ok=True)
+HUB = Path.home()/'.cache/huggingface/hub'
+MODEL = Path(os.environ.get('TF_QUAL_MODEL', HUB/'models--LiquidAI--LFM2.5-24B-A2B-MLX-4bit/snapshots/667408d494bde191c2cb9dd4f4549827816b9275'))
+DRAFT = Path(os.environ.get('TF_QUAL_DRAFTER', Path.home()/'models/LiquidAI--LFM2.5-24B-A2B-DSpark'))
+CAND = Path(os.environ.get('TF_QUAL_CANDIDATE', ROOT/'zig-out/native/bin/tensorfold-native'))
+MAIN = Path(os.environ.get('TF_QUAL_MAIN', '/tmp/tf1394-main-base/zig-out/native/bin/tensorfold-native'))
+BASE = 'http://127.0.0.1:18194'
+PROMPTS = json.loads((ROOT/'tools/bench_prompts.json').read_text())[:8]
+
+def emit(kind, **data):
+    print(json.dumps({'event':kind, **data}), flush=True)
+
+def save(name, data):
+    (OUT/(name+'.json')).write_text(json.dumps(data, indent=2)+'\n')
+
+def post(body, stream=False, cancel=None):
+    body = {'model':'review', 'max_tokens':128, 'temperature':0, 'seed':1234,
+            'ignore_eos':True, 'return_token_ids':True, **body, 'stream':stream}
+    if stream: body['stream_options']={'include_usage':True}
+    chat='messages' in body
+    if chat: body['chat_template_kwargs']={'enable_thinking':False}
+    endpoint='/v1/chat/completions' if chat else '/v1/completions'
+    req = urllib.request.Request(BASE+endpoint, data=json.dumps(body).encode(), headers={'Content-Type':'application/json'})
+    sent = time.perf_counter()
+    with urllib.request.urlopen(req, timeout=3600) as r:
+        if not stream:
+            x=json.load(r)
+            content=x['choices'][0].get('message',{}).get('content',x['choices'][0].get('text',''))
+            return {'usage':x['usage'], 'runtime':x['tensorfold'], 'speculative':x.get('speculative',{}), 'content':content, 'wall':time.perf_counter()-sent}
+        usage={}; runtime={}; spec={}; first=None; last=None; chunks=0; done=False
+        for raw in r:
+            line=raw.decode().strip()
+            if line=='data: [DONE]': done=True; break
+            if not line.startswith('data:'): continue
+            x=json.loads(line[5:])
+            if 'error' in x: raise RuntimeError(str(x['error']))
+            usage=x.get('usage') or usage; runtime=x.get('tensorfold') or runtime; spec=x.get('speculative') or spec
+            if any(c.get('text') or c.get('delta',{}).get('content') for c in x.get('choices',[])):
+                now=time.perf_counter(); first=first or now; last=now; chunks+=1
+                if cancel and chunks>=cancel: return {'cancelled':True}
+        if not done or not runtime.get('token_sha256'): raise RuntimeError('incomplete stream')
+        return {'usage':usage, 'runtime':runtime, 'speculative':spec, 'sent':sent, 'first':first, 'last':last, 'chunks':chunks}
+
+class Server:
+    def __init__(self, label, binary=CAND, mode='bf16', context=16384, parallel=16, cache=0, validation=False, model=MODEL, draft=DRAFT):
+        self.label=label; self.binary=binary; self.mode=mode; self.context=context; self.parallel=parallel
+        self.cache=cache; self.validation=validation; self.model=model; self.draft=draft
+    def __enter__(self):
+        processes=subprocess.check_output(['ps','-Ao','pid=,comm='],text=True)
+        busy=[line for line in processes.splitlines() if line.split() and Path(line.split()[-1]).name in ('tensorfold-native','tf-lfm2-exact','tf-lfm2-dspark')]
+        if busy: raise RuntimeError('another model process is already running')
+        args=[str(self.binary),'serve',str(self.model),'--name','review','--host','127.0.0.1','--port','18194','--parallel',str(self.parallel),'--context',str(self.context),'--prompt-cache-gib',str(self.cache),'--keep-warm','900']
+        if self.mode!='plain': args+=['--drafter',str(self.draft)]
+        if self.mode=='8': args+=['--drafter-bits','8']
+        env=dict(os.environ)
+        if self.validation: env['MTL_DEBUG_LAYER']='1'
+        self.log=open(OUT/(self.label+'.server.log'),'w')
+        self.proc=subprocess.Popen(args, stdout=self.log, stderr=subprocess.STDOUT, env=env, start_new_session=True)
+        start=time.monotonic()
+        while time.monotonic()-start<600:
+            if self.proc.poll() is not None: raise RuntimeError(self.label+' server exited')
+            try:
+                with urllib.request.urlopen(BASE+'/v1/models',timeout=1) as r: json.load(r)
+                emit('ready', label=self.label, seconds=time.monotonic()-start)
+                return self
+            except Exception: time.sleep(.5)
+        self.__exit__(None,None,None)
+        raise TimeoutError('load timeout')
+    def __exit__(self,*args):
+        started=time.monotonic(); forced=False
+        if self.proc.poll() is None:
+            self.proc.send_signal(signal.SIGTERM)
+            try: self.proc.wait(timeout=90)
+            except subprocess.TimeoutExpired:
+                forced=True; os.killpg(self.proc.pid,signal.SIGKILL); self.proc.wait()
+        self.log.close()
+        save(self.label+'.shutdown',{'forced_kill':forced,'seconds':time.monotonic()-started,'returncode':self.proc.returncode})
+        if forced: raise RuntimeError(self.label+' required forced shutdown')
+
+def digest(r): return r['runtime']['token_sha256']
+
+def functional():
+    results={}
+    first_messages=[{'role':'user','content':'Public cache fixture.\n'+('alpha beta gamma delta\n'*700)+'\nExplain matrix multiplication in one paragraph.'}]
+    with Server('functional-cache',cache=1,validation=True):
+        first=post({'messages':first_messages,'max_tokens':64})
+        messages=first_messages+[{'role':'assistant','content':first['content']},{'role':'user','content':'Give a small numerical example and explain each step.'}]
+        resumed=post({'messages':messages,'max_tokens':64})
+        if resumed['usage'].get('prompt_tokens_details',{}).get('cached_tokens',resumed['usage'].get('cached_tokens',0))<=0:
+            raise AssertionError('resume did not report reused tokens: '+str(resumed['usage']))
+        results['resumed']=resumed; results['resume_request']={'messages':messages,'max_tokens':64}
+        refs=[post({'prompt':p['prompt'],'max_tokens':64}) for p in PROMPTS]
+        results['stress_reference_hashes']=[{'prompt':p['name'],'sha256':digest(r)} for p,r in zip(PROMPTS,refs)]
+        results['stress']=[]
+        for slots,seconds in [(6,60),(16,90)]:
+            end=time.monotonic()+seconds
+            def worker(i):
+                rng=random.Random(4242+i); counts={'completed':0,'cancelled':0,'wrong':0,'errors':[]}
+                while time.monotonic()<end:
+                    j=rng.randrange(len(PROMPTS)); cancel=rng.randint(1,12) if rng.random()<.35 else None
+                    try:
+                        r=post({'prompt':PROMPTS[j]['prompt'],'max_tokens':64},True,cancel)
+                        if r.get('cancelled'): counts['cancelled']+=1
+                        else:
+                            counts['completed']+=1
+                            counts['wrong']+=digest(r)!=digest(refs[j])
+                    except Exception as e: counts['errors'].append(type(e).__name__+': '+str(e))
+                return counts
+            with cf.ThreadPoolExecutor(slots) as ex: rows=list(ex.map(worker,range(slots)))
+            summary={'slots':slots,'seconds':seconds,**{k:sum(x[k] for x in rows) for k in ['completed','cancelled','wrong']},'errors':[e for x in rows for e in x['errors']]}
+            results['stress'].append(summary); save('functional',results); emit('stress',**summary)
+            assert summary['wrong']==0 and not summary['errors'] and summary['cancelled']>0
+        sampled=[]
+        for n in [1,4,8,16]:
+            bodies=[{'prompt':PROMPTS[i%len(PROMPTS)]['prompt'],'temperature':.7,'top_p':.95,'seed':4242+i,'max_tokens':64} for i in range(n)]
+            plain=[post({**b,'draft':False}) for b in bodies]
+            solo=[post(b) for b in bodies]
+            gate=threading.Barrier(n)
+            def run(b): gate.wait(); return post(b)
+            with cf.ThreadPoolExecutor(n) as ex: together=list(ex.map(run,bodies))
+            row={'streams':n,'hashes':[[digest(p),digest(s),digest(t)] for p,s,t in zip(plain,solo,together)]}
+            sampled.append(row); emit('sampled',streams=n,equal=sum(len(set(x))==1 for x in row['hashes']))
+            assert all(len(set(x))==1 for x in row['hashes'])
+        results['sampled']=sampled; save('functional',results)
+    with Server('functional-fresh'):
+        fresh=post({'messages':messages,'max_tokens':64})
+        assert digest(fresh)==digest(results['resumed'])
+        results['fresh']=fresh; results['resume_equal']=True; save('functional',results); emit('resume',equal=True)
+
+def long_context():
+    results=[]
+    with Server('long-context',parallel=1,context=131072):
+        tail=[825,264,15352,4829,9944,13,271,279,854,22373]
+        for length in [4096,16384,65536,130816]:
+            ids=(tail*((length+9)//10))[:length]
+            plain=post({'prompt':ids,'max_tokens':64,'draft':False})
+            drafted=post({'prompt':ids,'max_tokens':64})
+            row={'length':length,'plain':plain,'drafted':drafted,'equal':digest(plain)==digest(drafted)}
+            results.append(row); save('long-context',results); emit('long-context',length=length,equal=row['equal'])
+            assert row['equal']
+    for length in [65536,130816]:
+        emit('long-reference-start',length=length)
+        with open(OUT/('dspark-reference-'+str(length)+'.log'),'w') as log:
+            r=subprocess.run([str(ROOT/'zig-out/bin/tf-lfm2-dspark'),str(MODEL),str(DRAFT),str(length)],stdout=log,stderr=subprocess.STDOUT,timeout=3600)
+        emit('long-reference-done',length=length,exit=r.returncode)
+        assert r.returncode==0
+
+def performance(family='lfm2', compare=False):
+    model=MODEL; draft=DRAFT; widths=[1,4,8,16]
+    if family=='qwen':
+        model=HUB/'models--TensorFold--Qwen3.8-27B-MLX-4bit/snapshots/22d8d538154e0e5b6f8dcb1fcc74a60a0798104c'
+        draft=HUB/'models--z-lab--Qwen3.8-27B-DFlash2/snapshots/50307d4c4cde6860d4eee73e2547cd786fe8e8a4'
+        widths=[1,4]
+    prompts=[{'name':'code','prompt':'Write a short Python function that computes the Fibonacci sequence and explain it.'},{'name':'chat','prompt':'Explain how matrix multiplication uses a GPU in plain English, then give a small numerical example.'}]
+    arms={'main-plain':(MAIN,'plain'),'candidate-plain':(CAND,'plain'),'candidate-drafted':(CAND,'bf16')}
+    if family=='qwen': arms={'main-drafted':(MAIN,'bf16'),'candidate-drafted':(CAND,'bf16')}
+    if compare:
+        published=os.environ.get('TF_QUAL_PUBLISHED')
+        if not published: raise SystemExit('compare requires TF_QUAL_PUBLISHED pointing to the earlier PR binary')
+        arms={'main':(MAIN,'plain'),'published':(Path(published),'bf16'),'candidate':(CAND,'bf16')}
+    results=[]; reference={}
+    order=list(arms)
+    for round_ in range(3):
+        rotated=order[round_%len(order):]+order[:round_%len(order)]
+        for arm in rotated:
+            binary,mode=arms[arm]
+            with Server(f'perf-{family}-{round_}-{arm}',binary,mode,4096,max(widths),0,False,model,draft):
+                for p in prompts: post({'prompt':p['prompt'],'max_tokens':32})
+                for p in prompts:
+                    for width in widths:
+                        gate=threading.Barrier(width)
+                        def run(i): gate.wait(); return post({'prompt':p['prompt'],'max_tokens':256},True)
+                        with cf.ThreadPoolExecutor(width) as ex: rows=list(ex.map(run,range(width)))
+                        key=p['name']; hashes=[digest(x) for x in rows]
+                        if key not in reference: reference[key]=hashes[0]
+                        assert all(h==reference[key] for h in hashes),(family,arm,key,'token mismatch')
+                        first=min(x['first'] for x in rows); last=max(x['last'] for x in rows)
+                        row={'round':round_,'arm':arm,'prompt':key,'streams':width,'aggregate_decode_tps':width*255/(last-first),'ttft_max':max(x['first']-x['sent'] for x in rows),'requests':rows}
+                        results.append(row); save(('comparison-' if compare else 'performance-')+family,results)
+                        emit('performance',family=family,round=round_,arm=arm,prompt=key,streams=width,tps=round(row['aggregate_decode_tps'],2))
+
+def cold_prefill():
+    results=[]
+    arms={'main-plain':(MAIN,'plain'),'candidate-plain':(CAND,'plain'),'candidate-drafted':(CAND,'bf16')}
+    order=list(arms); cycle=[825,264,15352,4829,9944,13,271,279,854,22373]
+    for round_ in range(3):
+        for arm in order[round_:]+order[:round_]:
+            binary,mode=arms[arm]
+            with Server(f'cold-{round_}-{arm}',binary,mode,131072,1):
+                for length in [2048,8192,32768,65536]:
+                    ids=(cycle*((length+9)//10))[:length]
+                    r=post({'prompt':ids,'max_tokens':1})
+                    assert r['usage']['prompt_tokens']==length
+                    assert r['usage']['prompt_tokens_details']['cached_tokens']==0
+                    row={'round':round_,'arm':arm,'prompt_tokens':length,**r}
+                    results.append(row); save('cold-prefill',results)
+                    emit('cold-prefill',round=round_,arm=arm,length=length,ttft=r['runtime']['time_to_first_token'])
+
+if __name__=='__main__':
+    phase=sys.argv[1]
+    with open('/tmp/tensorfold-model.lock','a') as lock:
+        emit('waiting-for-model-lock',phase=phase)
+        fcntl.flock(lock,fcntl.LOCK_EX)
+        emit('starting',phase=phase)
+        if phase=='functional': functional()
+        elif phase=='long': long_context()
+        elif phase=='performance': performance(sys.argv[2] if len(sys.argv)>2 else 'lfm2')
+        elif phase=='compare': performance(compare=True)
+        elif phase=='cold': cold_prefill()
diff --git a/docs/receipts/lfm2-dspark-review/wide-calibration-ablations.json b/docs/receipts/lfm2-dspark-review/wide-calibration-ablations.json
new file mode 100644
index 0000000000..020ae3fc71
--- /dev/null
+++ b/docs/receipts/lfm2-dspark-review/wide-calibration-ablations.json
@@ -0,0 +1,6480 @@
+{
+  "status": "diagnostic ablations; not the final qualification",
+  "base_source": "b4deee277",
+  "cells": {
+    "hold-accounting": [
+      {
+        "round": 0,
+        "arm": "old",
+        "prompt": "code",
+        "streams": 4,
+        "tps": 643.8116172492632,
+        "reply_sha256": "dcc30ceea29dc7510fd59ee9a4c2554b780db9dcafe7a843c29afdfd57231edc"
+      },
+      {
+        "round": 0,
+        "arm": "old",
+        "prompt": "code",
+        "streams": 8,
+        "tps": 810.867035866988,
+        "reply_sha256": "dcc30ceea29dc7510fd59ee9a4c2554b780db9dcafe7a843c29afdfd57231edc"
+      },
+      {
+        "round": 0,
+        "arm": "old",
+        "prompt": "code",
+        "streams": 16,
+        "tps": 798.5423014255949,
+        "reply_sha256": "dcc30ceea29dc7510fd59ee9a4c2554b780db9dcafe7a843c29afdfd57231edc"
+      },
+      {
+        "round": 0,
+        "arm": "old",
+        "prompt": "prose",
+        "streams": 4,
+        "tps": 618.5128631346989,
+        "reply_sha256": "756f2e35886612286b0797e4b20f7a65f5434e1c0997b033a224a1b9830c452c"
+      },
+      {
+        "round": 0,
+        "arm": "old",
+        "prompt": "prose",
+        "streams": 8,
+        "tps": 796.2133939448045,
+        "reply_sha256": "756f2e35886612286b0797e4b20f7a65f5434e1c0997b033a224a1b9830c452c"
+      },
+      {
+        "round": 0,
+        "arm": "old",
+        "prompt": "prose",
+        "streams": 16,
+        "tps": 792.4367288813849,
+        "reply_sha256": "756f2e35886612286b0797e4b20f7a65f5434e1c0997b033a224a1b9830c452c"
+      },
+      {
+        "round": 0,
+        "arm": "live-price",
+        "prompt": "code",
+        "streams": 4,
+        "tps": 645.8721684421929,
+        "reply_sha256": "dcc30ceea29dc7510fd59ee9a4c2554b780db9dcafe7a843c29afdfd57231edc"
+      },
+      {
+        "round": 0,
+        "arm": "live-price",
+        "prompt": "code",
+        "streams": 8,
+        "tps": 809.7932585902063,
+        "reply_sha256": "dcc30ceea29dc7510fd59ee9a4c2554b780db9dcafe7a843c29afdfd57231edc"
+      },
+      {
+        "round": 0,
+        "arm": "live-price",
+        "prompt": "code",
+        "streams": 16,
+        "tps": 799.4562456021381,
+        "reply_sha256": "dcc30ceea29dc7510fd59ee9a4c2554b780db9dcafe7a843c29afdfd57231edc"
+      },
+      {
+        "round": 0,
+        "arm": "live-price",
+        "prompt": "prose",
+        "streams": 4,
+        "tps": 618.8137429002606,
+        "reply_sha256": "756f2e35886612286b0797e4b20f7a65f5434e1c0997b033a224a1b9830c452c"
+      },
+      {
+        "round": 0,
+        "arm": "live-price",
+        "prompt": "prose",
+        "streams": 8,
+        "tps": 789.3984943094403,
+        "reply_sha256": "756f2e35886612286b0797e4b20f7a65f5434e1c0997b033a224a1b9830c452c"
+      },
+      {
+        "round": 0,
+        "arm": "live-price",
+        "prompt": "prose",
+        "streams": 16,
+        "tps": 793.8443467942008,
+        "reply_sha256": "756f2e35886612286b0797e4b20f7a65f5434e1c0997b033a224a1b9830c452c"
+      },
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+    ]
+  },
+  "incomplete": [
+    "timed-holds-v2",
+    "timed-holds-v3"
+  ],
+  "notes": [
+    "All runs use public code/prose prompts, greedy seed 1234, 256 tokens, context 4096, cache off.",
+    "Generic old/live-price labels mean the frozen published drafter baseline and the private experiment.",
+    "The overhead isolation uses the same frozen binary with suffix, literal draft:false oracle, attached-but-disabled oracle and drafted arms.",
+    "Phase-profile is instrumented and diagnostic; its rates are not release evidence.",
+    "Timed-holds-v2/v3 were explicitly interrupted and are not recorded as completed qualification.",
+    "M4 hold-accounting was interrupted after its controls drifted under unrelated CPU/memory load."
+  ],
+  "m4_interrupted_contended_cells": [
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+    "overhead-isolation": "Same binary: suffix, literal draft:false oracle, drafter attached but disabled, and active drafting.",
+    "stage512": "128 to 512 staged context rows.",
+    "phase-profile": "Instrumented host-absorb and GPU-hold phase counters, including warmups.",
+    "copy-depth": "Conditional acceptance by copied position, learned separately by source.",
+    "shared-calibration": "Absolute shared-forward timings above 16 rows.",
+    "shared-marginals": "Shared increments anchored to the original 16-row window cost.",
+    "measured-prices": "Shared increments plus outgoing hold-shape overhead accounting.",
+    "marginals-plain-pair": "Same calibrated binary with and without the external drafter.",
+    "calibrated-copies": "Shared increments with the ordinary fixed copy prior restored.",
+    "calibrated-gain": "Shared increments, ordinary copy policy, and gain scaled relative to the acceptance prior.",
+    "matched-copies": "Shared increments with the fixed prior retained for long suffix matches.",
+    "bounded-confidence": "A deeper pending hold falls back entirely when cached confidence is too short.",
+    "timed-holds": "Uniform late-hold budgeting; pending work inferred from selected streams.",
+    "timed-holds-v2": "Uniform budgeting with a drafter-owned pending-cost query; interrupted.",
+    "timed-holds-v3": "Pending-cost metadata and one proposer query; interrupted."
+  },
+  "phase_profile_totals": {
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+    "absorb_calls": 1131,
+    "absorb_rows": 13102,
+    "absorb_wall_ms": 17.757,
+    "explicit_absorb_gpu_ms": 7.58,
+    "hold_calls": 101,
+    "hold_gpu_ms": 434.471,
+    "note": "Hold GPU time also includes staged-context ingestion; these counters are not a pure context-versus-drafting decomposition."
+  }
+}
diff --git a/docs/receipts/lfm2-dspark-review/wide-calibration-candidate.json b/docs/receipts/lfm2-dspark-review/wide-calibration-candidate.json
new file mode 100644
index 0000000000..2f75052526
--- /dev/null
+++ b/docs/receipts/lfm2-dspark-review/wide-calibration-candidate.json
@@ -0,0 +1,16059 @@
+{
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+        "streams": 1,
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+        "solo_sha256": "728482497427a444e71dbb503dd96423f4ffa65df139bf2fab5c08d9be44548b",
+        "concurrent_sha256": [
+          "728482497427a444e71dbb503dd96423f4ffa65df139bf2fab5c08d9be44548b"
+        ]
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+      {
+        "streams": 4,
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+        "solo_sha256": "728482497427a444e71dbb503dd96423f4ffa65df139bf2fab5c08d9be44548b",
+        "concurrent_sha256": [
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+        "solo_sha256": "728482497427a444e71dbb503dd96423f4ffa65df139bf2fab5c08d9be44548b",
+        "concurrent_sha256": [
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+          "728482497427a444e71dbb503dd96423f4ffa65df139bf2fab5c08d9be44548b"
+        ]
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+      {
+        "streams": 16,
+        "plain_sha256": "728482497427a444e71dbb503dd96423f4ffa65df139bf2fab5c08d9be44548b",
+        "solo_sha256": "728482497427a444e71dbb503dd96423f4ffa65df139bf2fab5c08d9be44548b",
+        "concurrent_sha256": [
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+          "728482497427a444e71dbb503dd96423f4ffa65df139bf2fab5c08d9be44548b"
+        ]
+      }
+    ],
+    "long_context": [
+      {
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+        "concurrent_sha256": [
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+          "c2ba0e4604c6beb356eefe87cdec6c938f5f4a484521bfd73e8f9e6b57bc22b6"
+        ]
+      },
+      {
+        "length": 130816,
+        "plain_sha256": "3cc9886102163ddcfa01f3a3f20f723929d6cb01e51cb4bd3e960f05ca0569c3",
+        "solo_sha256": "3cc9886102163ddcfa01f3a3f20f723929d6cb01e51cb4bd3e960f05ca0569c3",
+        "concurrent_sha256": [
+          "3cc9886102163ddcfa01f3a3f20f723929d6cb01e51cb4bd3e960f05ca0569c3",
+          "3cc9886102163ddcfa01f3a3f20f723929d6cb01e51cb4bd3e960f05ca0569c3",
+          "3cc9886102163ddcfa01f3a3f20f723929d6cb01e51cb4bd3e960f05ca0569c3",
+          "3cc9886102163ddcfa01f3a3f20f723929d6cb01e51cb4bd3e960f05ca0569c3"
+        ]
+      }
+    ],
+    "shutdowns": {
+      "tokens.shutdown": {
+        "forced_kill": false,
+        "seconds": 0.5550237089999999,
+        "returncode": 0
+      },
+      "final-1-candidate-drafted.shutdown": {
+        "forced_kill": false,
+        "seconds": 0.44267137500003173,
+        "returncode": 0
+      },
+      "final-0-published.shutdown": {
+        "forced_kill": false,
+        "seconds": 0.3199985830000003,
+        "returncode": 0
+      },
+      "final-2-candidate-plain.shutdown": {
+        "forced_kill": false,
+        "seconds": 0.3152450830000362,
+        "returncode": 0
+      },
+      "final-1-main.shutdown": {
+        "forced_kill": false,
+        "seconds": 0.26646854199998415,
+        "returncode": 0
+      },
+      "final-2-candidate-drafted.shutdown": {
+        "forced_kill": false,
+        "seconds": 0.7430550000000267,
+        "returncode": 0
+      },
+      "final-3-published.shutdown": {
+        "forced_kill": false,
+        "seconds": 0.7333516659999759,
+        "returncode": 0
+      },
+      "final-3-candidate-plain.shutdown": {
+        "forced_kill": false,
+        "seconds": 0.3819492080000373,
+        "returncode": 0
+      },
+      "final-2-main.shutdown": {
+        "forced_kill": false,
+        "seconds": 0.4357252500000186,
+        "returncode": 0
+      },
+      "functional-fresh.shutdown": {
+        "forced_kill": false,
+        "seconds": 0.551300375000011,
+        "returncode": 0
+      },
+      "final-0-candidate-plain.shutdown": {
+        "forced_kill": false,
+        "seconds": 0.49287025000000995,
+        "returncode": 0
+      },
+      "functional-cache.shutdown": {
+        "forced_kill": false,
+        "seconds": 0.5678107079999961,
+        "returncode": 0
+      },
+      "final-3-main.shutdown": {
+        "forced_kill": false,
+        "seconds": 0.31679716700000426,
+        "returncode": 0
+      },
+      "final-0-main.shutdown": {
+        "forced_kill": false,
+        "seconds": 0.3809736660000027,
+        "returncode": 0
+      },
+      "8bit-equality.shutdown": {
+        "forced_kill": false,
+        "seconds": 0.48993237499996667,
+        "returncode": 0
+      },
+      "final-1-published.shutdown": {
+        "forced_kill": false,
+        "seconds": 0.7285161659999915,
+        "returncode": 0
+      },
+      "long-serving.shutdown": {
+        "forced_kill": false,
+        "seconds": 0.7801908750000166,
+        "returncode": 0
+      },
+      "final-3-candidate-drafted.shutdown": {
+        "forced_kill": false,
+        "seconds": 0.5634543329999815,
+        "returncode": 0
+      },
+      "final-2-published.shutdown": {
+        "forced_kill": false,
+        "seconds": 0.44117920899998353,
+        "returncode": 0
+      },
+      "final-1-candidate-plain.shutdown": {
+        "forced_kill": false,
+        "seconds": 0.48965824999999086,
+        "returncode": 0
+      },
+      "final-0-candidate-drafted.shutdown": {
+        "forced_kill": false,
+        "seconds": 0.48779195900002037,
+        "returncode": 0
+      }
+    }
+  },
+  "host_checks": {
+    "focused": {
+      "steps_passed": 69,
+      "steps_total": 69,
+      "tests_passed": 117,
+      "tests_total": 117
+    },
+    "default_build": {
+      "steps_passed": 239,
+      "steps_total": 239
+    },
+    "stateful_proposer_regression": "passed",
+    "granted_depth_tests": 14,
+    "copy_tests": 34,
+    "lean": {
+      "main_findings": 425,
+      "candidate_findings": 425,
+      "new_findings": 0
+    }
+  },
+  "m4_qualification": {
+    "device": "Apple M4 Pro, 20 GPU cores, 48 GiB, macOS 26.5.1",
+    "operator_summary": "SUMMARY 11 kernels: 11 pass gates 1-4, 0 fail, 0 known findings; 17 controls: 17 red as planted, 0 missed; 0 limit problems; gates 66369 ms, limits 192 ms",
+    "drafter_reference": {
+      "picks_equal": 9,
+      "picks": 9,
+      "worst_confidence_difference": 0.00106,
+      "steady_rounds": 20,
+      "host_allocations": 0,
+      "resizes": 0
+    },
+    "serving_status": "stopped at the resumed-cache prerequisite: OS memory pressure explicitly disabled keeping prompt states; cached_tokens=0; stress/sample/8bit/memory phases did not run",
+    "pressure_warning": "one more stream only when none runs, no new kept prompt states",
+    "shutdown": {
+      "forced_kill": false,
+      "seconds": 0.3489787499420345,
+      "returncode": 0
+    },
+    "performance_status": "not qualified under the observed CPU/memory contention"
+  },
+  "load_memory": {
+    "device": "M5 Ultra",
+    "context": 4096,
+    "parallel": 1,
+    "before_generation": true,
+    "arms": {
+      "published": {
+        "context_window": 4096,
+        "context_fitted": false,
+        "process": {
+          "source": "darwin_rusage_info_v4",
+          "physical_footprint_bytes": 15696735176,
+          "lifetime_peak_physical_footprint_bytes": 15709645744
+        }
+      },
+      "candidate": {
+        "context_window": 4096,
+        "context_fitted": false,
+        "process": {
+          "source": "darwin_rusage_info_v4",
+          "physical_footprint_bytes": 15679974464,
+          "lifetime_peak_physical_footprint_bytes": 15733451768
+        }
+      }
+    },
+    "candidate_peak_delta_bytes": 23806024
+  },
+  "limitations": [
+    "A material four-stream code regression remains; the candidate is not a universal throughput win.",
+    "Candidate-plain four-stream prose also regresses versus main.",
+    "The additional shared calibration increases hot-model startup time by roughly one second in this run.",
+    "M4 served cache/concurrency qualification could not complete under system memory pressure; it is not recorded as passed.",
+    "M1/M2/M3/CUDA/HIP were not rerun; focused LFM2 operators are not the full cross-family kernel-contract gate."
+  ],
+  "load_readiness": [
+    {
+      "event": "ready",
+      "label": "final-0-main",
+      "seconds": 2.5573577919999906
+    },
+    {
+      "event": "ready",
+      "label": "final-0-published",
+      "seconds": 2.5535984580000104
+    },
+    {
+      "event": "ready",
+      "label": "final-0-candidate-plain",
+      "seconds": 3.573031125
+    },
+    {
+      "event": "ready",
+      "label": "final-0-candidate-drafted",
+      "seconds": 3.572747667000016
+    },
+    {
+      "event": "ready",
+      "label": "final-1-published",
+      "seconds": 2.5532073749999995
+    },
+    {
+      "event": "ready",
+      "label": "final-1-candidate-plain",
+      "seconds": 3.0623082079999904
+    },
+    {
+      "event": "ready",
+      "label": "final-1-candidate-drafted",
+      "seconds": 3.564061958999986
+    },
+    {
+      "event": "ready",
+      "label": "final-1-main",
+      "seconds": 1.5315142910000077
+    },
+    {
+      "event": "ready",
+      "label": "final-2-candidate-plain",
+      "seconds": 3.063439207999977
+    },
+    {
+      "event": "ready",
+      "label": "final-2-candidate-drafted",
+      "seconds": 3.5726659590000054
+    },
+    {
+      "event": "ready",
+      "label": "final-2-main",
+      "seconds": 2.0429697499999975
+    },
+    {
+      "event": "ready",
+      "label": "final-2-published",
+      "seconds": 2.552820082999972
+    },
+    {
+      "event": "ready",
+      "label": "final-3-candidate-drafted",
+      "seconds": 3.5727163330000167
+    },
+    {
+      "event": "ready",
+      "label": "final-3-main",
+      "seconds": 2.042876958000022
+    },
+    {
+      "event": "ready",
+      "label": "final-3-published",
+      "seconds": 2.5485449579999795
+    },
+    {
+      "event": "ready",
+      "label": "final-3-candidate-plain",
+      "seconds": 3.054198165999992
+    }
+  ],
+  "review_fixes": {
+    "rejected_guard_commits_excluded_from_ancestry": [
+      "5d9fcf68f87dd46ff653c17a2fd937fd09074ce1",
+      "1b57e583855b552aa003004e80db702ac1e6ae4e",
+      "4fa02928a7484ccf7bc1a529936618e9489eb24e",
+      "b66a7629e60d7283d5a837f7b3d2632f03000896",
+      "6539b72beacf5bf911d5a5141f50da88cfcab4c6"
+    ]
+  }
+}
diff --git a/docs/receipts/lfm2-dspark-review/wide_matrix.py b/docs/receipts/lfm2-dspark-review/wide_matrix.py
new file mode 100644
index 0000000000..7f672c2ea8
--- /dev/null
+++ b/docs/receipts/lfm2-dspark-review/wide_matrix.py
@@ -0,0 +1,30 @@
+# Four-arm Metal serving comparison; reserve the GPU exclusively before running.
+import importlib.util,os,fcntl,threading,concurrent.futures as cf,hashlib
+from pathlib import Path
+s=importlib.util.spec_from_file_location('q',Path(__file__).with_name('qualification.py'));q=importlib.util.module_from_spec(s);s.loader.exec_module(q)
+root=Path(os.environ.get('TF_QUAL_CANDIDATE_ROOT',str(q.ROOT)));q.OUT=Path(os.environ.get('TF_QUAL_OUT','/tmp/tf-lfm2-wide-matrix'));q.OUT.mkdir(exist_ok=True)
+with open('/tmp/tensorfold-model.lock','a') as lock:
+ fcntl.flock(lock,fcntl.LOCK_EX)
+ q.save('source-hashes',{p:hashlib.sha256((root/p).read_bytes()).hexdigest() for p in ['zig/src/core/lanes/depth.zig','zig/src/core/lanes/drafted_chances_test.zig','zig/src/families/lfm2_moe/backend.zig','zig/src/families/lfm2_moe/dspark.zig','zig/src/families/lfm2_moe/dspark_block.zig']})
+ arms={'main':(Path(os.environ['TF_QUAL_MAIN']),'plain'),'published':(Path(os.environ['TF_QUAL_PUBLISHED']),'bf16'),'candidate-plain':(q.CAND,'plain'),'candidate-drafted':(q.CAND,'bf16')}
+ q.save('binaries',{name:hashlib.sha256(binary.read_bytes()).hexdigest() for name,(binary,_) in arms.items()})
+ results=[];refs={}
+ prompts=['Write a short Python function that computes the Fibonacci sequence and explain it.','Explain how matrix multiplication uses a GPU in plain English, then give a small numerical example.']
+ for round_ in range(4):
+  order=list(arms);offset=round_%len(order);order=order[offset:]+order[:offset]
+  for arm in order:
+   binary,mode=arms[arm]
+   label=f'final-{round_}-{arm}'
+   with q.Server(label,binary,mode,4096,16):
+    if 'memory pressure:' in (q.OUT/(label+'.server.log')).read_text(errors='replace'):raise RuntimeError('memory pressure prevents a valid concurrency qualification')
+    for prompt in prompts:
+     q.post({'prompt':prompt,'max_tokens':32})
+     for width in [1,4,8,16]:
+      gate=threading.Barrier(width)
+      def run(i):gate.wait();return q.post({'prompt':prompt,'max_tokens':256},True)
+      with cf.ThreadPoolExecutor(width) as ex:rows=list(ex.map(run,range(width)))
+      ref=refs.setdefault(prompt,q.digest(rows[0]));assert all(q.digest(r)==ref for r in rows)
+      if 'memory pressure:' in (q.OUT/(label+'.server.log')).read_text(errors='replace'):raise RuntimeError('memory pressure changed stream admission during qualification')
+      rate=width*255/(max(r['last'] for r in rows)-min(r['first'] for r in rows))
+      item={'round':round_,'arm':arm,'prompt':'code' if prompt.startswith('Write') else 'prose','streams':width,'tps':rate,'requests':rows};results.append(item);q.save('comparison',results);q.emit('comparison',**{k:v for k,v in item.items() if k!='requests'})
+ q.emit('comparison-done',cells=len(results))
diff --git a/docs/recipes/README.md b/docs/recipes/README.md
index 8017124388..0cfdf94f1b 100644
--- a/docs/recipes/README.md
+++ b/docs/recipes/README.md
@@ -22,7 +22,7 @@ For agent-assisted contributions, read the [TensorFold contributor skill](SKILL.
 | Qwen3.6-35B-A3B | [MLX with MTP drafts, one-GPU CUDA](qwen3.6-moe.md) |
 | Step-5-Preview | [Native Metal on one 256 GB Mac: 2-bit experts, MTP drafts, images](step-5-preview.md) |
 | Kolibri-1 | [Native CUDA, block FP8, research checkpoint](kolibri-1.md) |
-| LFM2.5-24B-A2B | [Native Metal, MLX 4-bit, shared rounds](lfm2.5-24b-a2b.md) |
+| LFM2.5-24B-A2B | [Native Metal, MLX 4-bit, shared rounds, DSpark drafts](lfm2.5-24b-a2b.md) |
 | Spark-X2.6-4B | [Native CUDA](spark-x2.6-4b-cuda.md), [native Metal, the bf16 release, contexts to 1M](spark-x2.6-4b-metal.md) |
 
 ## Capability floor
diff --git a/docs/recipes/lfm2.5-24b-a2b.md b/docs/recipes/lfm2.5-24b-a2b.md
index 7b8b2cdf4b..a3fce056e5 100644
--- a/docs/recipes/lfm2.5-24b-a2b.md
+++ b/docs/recipes/lfm2.5-24b-a2b.md
@@ -41,3 +41,84 @@ the shared-round kernels on it. The M4 Pro is not yet measured on a quiet machin
 
 Every reply was token for token equal before and after, and equal to its solo run and to `"draft": false`.
 Cold prefill at 2k, 8k and 32k tokens and peak memory did not change.
+
+## DSpark drafts
+
+LiquidAI's DSpark drafter for this model is
+[`LiquidAI/LFM2.5-24B-A2B-DSpark`](https://huggingface.co/LiquidAI/LFM2.5-24B-A2B-DSpark/tree/e052e5b1dd103c38cdd4f8ddc068d7dea4586f55)
+at revision `e052e5b1dd103c38cdd4f8ddc068d7dea4586f55` (327.7M bf16 parameters, 655 MB). Its weights are under the
+[LFM Open License v1.0](https://huggingface.co/LiquidAI/LFM2.5-24B-A2B-DSpark/blob/e052e5b1dd103c38cdd4f8ddc068d7dea4586f55/LICENSE);
+TensorFold does not ship them, so read the license before use.
+
+```bash
+hf download LiquidAI/LFM2.5-24B-A2B-DSpark --revision e052e5b1dd103c38cdd4f8ddc068d7dea4586f55 \
+  config.json model.safetensors LICENSE README.md --local-dir "$HOME/models/LFM2.5-24B-A2B-DSpark"
+zig-out/native/bin/tensorfold-native serve "$MODEL_DIR" --port 8080 --parallel 16 \
+  --drafter "$HOME/models/LFM2.5-24B-A2B-DSpark"
+```
+
+Without `--drafter` the engine serves as before. `"draft": false` on a request, or `--no-drafts`, turns the drafter
+off; the lane core verifies every draft, so a drafted reply equals its `"draft": false` reply token for token.
+
+The drafter has no embedding and no head of its own:
+
+- Context: the target's rows after layers 2, 10, 18, 26 and 34 (the backend's taps, `lfm2_tap`), through `fc` and
+  `hidden_norm`, give each of its five layers' context keys and values (k_norm, then RoPE at the row's position).
+- Block: the pending token and mask tokens run five Qwen3 layers with non-causal attention over the context and the
+  block, then the target's head. A block is as long as the deepest chain its pass holds, at most the nine rows the
+  drafter was trained on.
+- Markov head: row i's logits plus `W2 W1[previous token]` (rank 256); draft i is their argmax.
+
+The drafter runs the released bf16 matrices as they are (`--drafter-bits 0`, the default). `--drafter-bits 8` instead
+quantizes them at load to 8-bit MLX affine codes in groups of 64, about 5% faster on one stream and 361 MiB of weights
+against 625 MiB; the server logs which mode runs, and 4 bits is refused. Both run on the family's kernels
+(bf16 on `lfm2_bf16_rows`, `lfm2_bf16_mma` and `lfm2_markov_scan_bf16`, 8-bit on `core/tile_qmm`); the q and k rows are reordered so that the target's half-split RoPE kernel gives the
+checkpoint's interleaved RoPE. Its own kernels are `lfm2_tap`, `lfm2_attn_block` and `lfm2_attn_block_merge`
+(non-causal block attention, the target's attention kernels with a template flag), `lfm2_markov_scan` and
+`lfm2_markov_pick` (a Markov step) and `lfm2_draft_ids` (a hold's drafts into the next verify's rows on the GPU, so
+the host does not wait for a hold that fits one pass). Each kept prompt state keeps the drafter's context too, so a
+drafting stream resumes prompts. The lane core prices drafts across the admitted stream counts.
+
+`tf-kernel-contract --only lfm2` checks these kernels. `tf-lfm2-dspark MODEL DRAFTER TOKENS [ROWS]` runs the drafter
+against an fp32 host reference of the released checkpoint (the same taps and the target's embedding and head),
+prints each draft against the reference's pick with the margin between the reference's two best tokens, and times
+the drafter's passes; a near tie can pick the other token.
+
+### Verify schedule
+
+The drafter also carries a confidence head: a linear map of a draft's final block row and `W1[previous token]`
+(2,304 inputs) to one logit, through a sigmoid (`lfm2_dspark_confidence`). It does not change the drafts.
+The verify rows follow it: a chain's chance at draft j is the product of its first j confidences. Each round the
+lane core's window allocator takes the likeliest drafts over all streams while the expected tokens a ms rise, so
+each stream gets its own verify length, and the next hold drafts as deep as the stream's grant. A hold still
+running on the GPU is priced by its lane's last confidences, so the host does not wait for it. A checkpoint
+without the head verifies by the core's depth rule, from each stream's measured acceptance by depth.
+
+A stream with a copy ahead verifies the copy and asks no hold, and a drafting stream prices its copy
+windows by its own copies. The lane core also weighs the hold pass itself: the drafter times holds of 1 to 16
+blocks at every admissible depth at load and corrects those prices toward each settled hold's GPU time.
+Prices interpolate neighboring measured depths, preserving the cost changes at kernel transitions.
+
+`tf-lfm2-dspark` also prints the confidence
+head against its fp32 reference and times shared holds of 2 to 16 streams.
+
+The loader reads the checkpoint one matrix at a time and keeps the released bf16 matrices by default, or the
+8-bit codes with `--drafter-bits 8`; a stream's drafter lane is one
+Metal buffer (its layers' keys and values, then its staged rows), and its bytes join the streams the load limit
+admits. At load the drafter logs its weights, scratch and a stream's bytes. `tf-lfm2-dspark` also counts host
+allocations over twenty served drafter rounds, which must be none.
+
+A hold runs on one concurrent encoder with a barrier only where a step reads an earlier step's writes: q, k and v,
+and gate and up, share one sums pass, and the blocks of a shared hold attend side by side. An 8-bit projection takes
+the scalar twin up to 8 rows, the window kernel past them where the GPU has no tensor units, and the tensor units
+from 9 rows (the head from 5) where it has them. Held blocks use one bf16 16-row group, then the existing
+64x64 tiles past 16 rows, avoiding a second weight pass for shared holds of 17 to 32 rows. Context ingestion
+keeps the original row kernel through 32 rows, preserving the persistent context projections.
+When one lane's stage of 128 verified rows fills, its absorb pass takes
+every lane's staged rows, so the lanes' stages fill together.
+
+Shared verification past the 16-row qualified window uses measured increments
+from the shared forward path through 32 rows, anchored at the 16-row window
+price. This calibrates the batch cost without widening a stream's qualified
+window. The wide-batch receipt records the throughput gains, the accepted
+four-stream tradeoff, startup/footprint cost and hardware coverage limits.
diff --git a/zig/build/metal_targets.zig b/zig/build/metal_targets.zig
index 8a16d7432e..df5a809e3f 100644
--- a/zig/build/metal_targets.zig
+++ b/zig/build/metal_targets.zig
@@ -294,6 +294,7 @@ pub fn metalTargets(b: *std.Build, target: std.Build.ResolvedTarget, optimize: s
         .{ .name = "tf-lfm2-forward", .path = "zig/tests/lfm2_forward.zig", .about = "LFM2-MoE native teacher-forced logits" },
         .{ .name = "tf-lfm2-bench", .path = "zig/tests/lfm2_bench.zig", .about = "LFM2-MoE prompt-chunk and one-row decode timing" },
         .{ .name = "tf-lfm2-exact", .path = "zig/tests/lfm2_exact.zig", .about = "LFM2-MoE prompt chunks, windows and committed-state exactness" },
+        .{ .name = "tf-lfm2-dspark", .path = "zig/tests/lfm2_dspark.zig", .about = "LFM2's DSpark drafter on the GPU against an fp32 host reference of the released drafter" },
         .{ .name = "tf-lfm2-fp64", .path = "zig/tests/lfm2_fp64.zig", .about = "LFM2 projection classes and attention on the tensor units, the tiles and the twin, each against float64" },
         .{ .name = "tensorfold", .path = "zig/src/main.zig", .about = "The native engine's command line" },
         .{ .name = "tf-nemotron-fixtures", .path = "zig/tests/nemotron_fixtures.zig", .about = "Nemotron kernels against the Python engine's captured ops" },
@@ -462,6 +463,8 @@ pub fn metalTargets(b: *std.Build, target: std.Build.ResolvedTarget, optimize: s
     b.step("test-nemotron-round-depth-host", "Priced head depth, nonlanding levels and fixed-depth controls without devices").dependOn(&round_depth.step);
     const lfm2_tests = b.addRunArtifact(b.addTest(.{ .root_module = engine, .filters = &.{"lfm2_moe"} }));
     b.step("test-lfm2", "The LFM2-MoE family's tests: config, draws, state and its shared rounds on this Mac's GPU").dependOn(&lfm2_tests.step);
+    const lfm2_dspark = b.addRunArtifact(b.addTest(.{ .root_module = engine, .filters = &.{"lfm2 dspark:"} }));
+    b.step("test-lfm2-dspark", "LFM2's DSpark drafter and its taps: config, quantizer and kernels on this Mac's GPU").dependOn(&lfm2_dspark.step);
     test_step.dependOn(&b.addRunArtifact(b.addTest(.{ .root_module = lanes })).step);
     // the fake fabric maps its windows with mmap: the Macs' RDMA, not Windows
     if (target.result.os.tag != .windows) test_step.dependOn(&b.addRunArtifact(b.addTest(.{ .root_module = fabric })).step);
diff --git a/zig/kernels/metal/lfm2/lfm2.metal b/zig/kernels/metal/lfm2/lfm2.metal
index af6a2a7372..2da8578970 100644
--- a/zig/kernels/metal/lfm2/lfm2.metal
+++ b/zig/kernels/metal/lfm2/lfm2.metal
@@ -232,7 +232,7 @@ inline void lfm2_stage(const thread uint4* pre, threadgroup uint* ks, threadgrou
 }
 
 // Every row's attention partials (one kernel for prompt and decode): a threadgroup a (chunk, kv head, 8 * RB rows).
-template <int RB>  // a simdgroup's RB row blocks share each staged K and V fragment, each block's arithmetic its own
+template <int RB, bool FULL = false>  // RB row blocks share each staged K and V fragment; FULL: all see [0, len + 1)
 inline void lfm2_attn_rows(const device bfloat* queries, const device bfloat* keys, const device bfloat* values,
                            lfm2_attn_args p, device float* pm, device float* pl, device float* po, uint rows, uint3 tg,
                            uint tid, uint sg, uint lane, threadgroup uint (*ks)[HD * (KT / 2)],
@@ -242,8 +242,8 @@ inline void lfm2_attn_rows(const device bfloat* queries, const device bfloat* ke
   const uint kh = tg.y, r0 = tg.x * 8 * RB, head = kh * (QH / KVH) + sg;
   const uint qid = lane / 4, fm = (qid & 4) + ((lane / 2) % 4), fn = (qid & 2) * 2 + (lane % 2) * 2;
   uint count[RB];  // this lane's rows' visible keys
-  for (int b = 0; b < RB; ++b) count[b] = p.len + min(r0 + 8 * b + fm, rows - 1) + 1;
-  const uint top = p.len + min(r0 + 8 * RB - 1, rows - 1) + 1;  // the tile's most
+  for (int b = 0; b < RB; ++b) count[b] = FULL ? p.len + 1 : p.len + min(r0 + 8 * b + fm, rows - 1) + 1;
+  const uint top = FULL ? p.len + 1 : p.len + min(r0 + 8 * RB - 1, rows - 1) + 1;  // the tile's most
   if (chunk * PER + sub0 * SUB >= top) return;
   vec<bfloat, 2> q[RB][8];
   for (int b = 0; b < RB; ++b)
@@ -340,7 +340,7 @@ inline void lfm2_attn_rows(const device bfloat* queries, const device bfloat* ke
     for (int d = 0; d < 8; ++d) *(device float2*)(po + at * HD + 8 * d + fn) = O[b][d];
   }
 }
-template <int RB>
+template <int RB, bool FULL = false>
 [[kernel]] void lfm2_attn_mma(const device bfloat* queries [[buffer(0)]], const device bfloat* keys [[buffer(1)]],
                               const device bfloat* values [[buffer(2)]], constant lfm2_attn_args& p [[buffer(3)]],
                               device float* pm [[buffer(4)]], device float* pl [[buffer(5)]], device float* po [[buffer(6)]],
@@ -349,15 +349,16 @@ template <int RB>
                               uint lane [[thread_index_in_simdgroup]]) {
   threadgroup uint ks[2][HD * (KT / 2)];
   threadgroup bfloat vs[2][KB * KP];
-  lfm2_attn_rows<RB>(queries, keys, values, p, pm, pl, po, rows, tg, tid, sg, lane, ks, vs);
+  lfm2_attn_rows<RB, FULL>(queries, keys, values, p, pm, pl, po, rows, tg, tid, sg, lane, ks, vs);
 }
 template [[host_name("lfm2_attn_mma")]] [[kernel]] decltype(lfm2_attn_mma<1>) lfm2_attn_mma<1>;
 template [[host_name("lfm2_attn_mma_r2")]] [[kernel]] decltype(lfm2_attn_mma<2>) lfm2_attn_mma<2>;
 
 // The chunks merged in chunk order for (head, row): Y [rows, QH*HD] bf16.
+template <bool FULL = false>
 inline void lfm2_merge_row(const device float* pm, const device float* pl, const device float* po, lfm2_attn_args p,
                            device bfloat* y, uint head, uint r, uint lane) {
-  const uint count = p.len + r + 1;
+  const uint count = FULL ? p.len + 1 : p.len + r + 1;
   const uint per = PER;
   const uint chunks = (count + per - 1) / per;
   const size_t at = (size_t(r) * QH + head) * (CHUNKS * p.subs);
@@ -391,12 +392,15 @@ inline void lfm2_merge_row(const device float* pm, const device float* pl, const
   out[lane] = static_cast<bfloat>(o0 / l);
   out[lane + 32] = static_cast<bfloat>(o1 / l);
 }
+template <bool FULL = false>
 [[kernel]] void lfm2_attn_merge(const device float* pm [[buffer(0)]], const device float* pl [[buffer(1)]],
                                 const device float* po [[buffer(2)]], constant lfm2_attn_args& p [[buffer(3)]],
                                 device bfloat* y [[buffer(4)]], uint2 tg [[threadgroup_position_in_grid]],
                                 uint lane [[thread_index_in_simdgroup]]) {
-  lfm2_merge_row(pm, pl, po, p, y, tg.x, tg.y, lane);
+  lfm2_merge_row<FULL>(pm, pl, po, p, y, tg.x, tg.y, lane);
 }
+template [[host_name("lfm2_attn_merge")]] [[kernel]] decltype(lfm2_attn_merge<false>) lfm2_attn_merge<false>;
+template [[host_name("lfm2_attn_block_merge")]] [[kernel]] decltype(lfm2_attn_merge<true>) lfm2_attn_merge<true>;
 
 // Router logits [rows, E] in fp32: a simdgroup an expert, lane l over inputs 4l..4l+3 of each 128, then simd_sum.
 [[kernel]] void lfm2_route_logits(const device bfloat* x [[buffer(0)]], const device float* router [[buffer(1)]],
@@ -568,3 +572,11 @@ constant constexpr uint SORT_CHUNKS = 16;  // thread (e, c) counts expert e's pi
     best[2 * row + 1] = bad;
   }
 }
+
+// A drafter's tap: H's rows [rows, D] copied into TAPS at column `at.y` of rows `at.x` values apart, 8 a thread.
+[[kernel]] void lfm2_tap(const device bfloat* h [[buffer(0)]], device bfloat* taps [[buffer(1)]], constant uint2& at [[buffer(2)]],
+                         uint2 i [[thread_position_in_grid]]) {
+  if (i.x >= D / 8) return;
+  const device vec<bfloat, 8>* from = (const device vec<bfloat, 8>*)(h + size_t(i.y) * D);
+  ((device vec<bfloat, 8>*)(taps + size_t(i.y) * at.x + at.y))[i.x] = from[i.x];
+}
diff --git a/zig/kernels/metal/lfm2/lfm2_dspark.metal b/zig/kernels/metal/lfm2/lfm2_dspark.metal
new file mode 100644
index 0000000000..7440805007
--- /dev/null
+++ b/zig/kernels/metal/lfm2/lfm2_dspark.metal
@@ -0,0 +1,258 @@
+// DSpark's Markov step, compiled after lfm2.metal's text (its includes and constants).
+
+// DSpark's Markov scan, W2 as 8-bit codes (BF16 false) or bf16 as released (true): a threadgroup's best of 512 tokens.
+struct lfm2_markov_args { uint stride, rank, vocab, prev_stride; };
+constant constexpr uint MARKOV_SPAN = 512;
+
+// Eight bf16 in a uint4 as floats (a bf16 is the high half of its float).
+inline void lfm2_unpack8(uint4 v, thread float* f) {
+  for (int j = 0; j < 4; ++j) {
+    f[2 * j] = as_type<float>(v[j] << 16);
+    f[2 * j + 1] = as_type<float>(v[j] & 0xffff0000u);
+  }
+}
+template <bool BF16>
+inline void lfm2_markov_scan_t(const device bfloat* logits, const device bfloat* w1, const device uint8_t* w2,
+                               const device uint* prev, constant lfm2_markov_args& p, device float* best,
+                               device uint* at, const device bfloat* w2s, const device bfloat* w2b, uint2 tg,
+                               uint2 grid, uint sg, uint lane, threadgroup float* e, threadgroup float* sv,
+                               threadgroup uint* si) {
+  const uint s = tg.y, t = sg * 32 + lane, id = prev[size_t(s) * p.prev_stride];
+  for (uint i = t; i < p.rank; i += 256) e[i] = id < p.vocab ? float(w1[size_t(id) * p.rank + i]) : 0.0f;
+  threadgroup_barrier(mem_flags::mem_threadgroup);
+  const device bfloat* row = logits + size_t(s) * p.stride;
+  float mv = -INFINITY;
+  uint mi = 0xffffffffu;
+  bool nan = false;
+  const uint first = tg.x * MARKOV_SPAN, last = min(first + MARKOV_SPAN, p.vocab);
+  for (uint v = first + sg; v < last; v += 8) {
+    float d = 0.0f;
+    for (uint i = 8 * lane; i < p.rank; i += 256) {
+      if (BF16) {
+        float f[8];
+        lfm2_unpack8(*(const device uint4*)((const device bfloat*)w2 + size_t(v) * p.rank + i), f);
+        for (int j = 0; j < 8; ++j) d = fma(f[j], e[i + j], d);
+        continue;
+      }
+      const size_t g = (size_t(v) * p.rank + i) / 64;
+      const float sc = w2s[g], bi = w2b[g];
+      const uchar4 lo = *(const device uchar4*)(w2 + size_t(v) * p.rank + i);
+      const uchar4 hi = *(const device uchar4*)(w2 + size_t(v) * p.rank + i + 4);
+      for (int j = 0; j < 4; ++j) d = fma(fma(sc, float(lo[j]), bi), e[i + j], d);
+      for (int j = 0; j < 4; ++j) d = fma(fma(sc, float(hi[j]), bi), e[i + 4 + j], d);
+    }
+    d = simd_sum(d);
+    const float sc = float(static_cast<bfloat>(float(row[v]) + float(static_cast<bfloat>(d))));
+    nan = nan || isnan(sc);
+    if (sc > mv || (mi == 0xffffffffu && sc == mv)) {
+      mv = sc;
+      mi = v;
+    }
+  }
+  if (lane == 0) {
+    sv[sg] = nan ? NAN : mv;
+    si[sg] = mi;
+  }
+  threadgroup_barrier(mem_flags::mem_threadgroup);
+  if (t != 0) return;
+  float bv = sv[0];
+  uint bi = si[0];
+  for (uint g = 1; g < 8; ++g) {
+    if (isnan(bv) || isnan(sv[g])) bv = NAN;
+    else if (sv[g] > bv || (sv[g] == bv && si[g] < bi)) {
+      bv = sv[g];
+      bi = si[g];
+    }
+  }
+  best[size_t(s) * grid.x + tg.x] = bv;
+  at[size_t(s) * grid.x + tg.x] = bi;
+}
+
+[[kernel]] void lfm2_markov_scan(const device bfloat* logits [[buffer(0)]], const device bfloat* w1 [[buffer(1)]],
+                                 const device uint8_t* w2 [[buffer(2)]], const device uint* prev [[buffer(3)]],
+                                 constant lfm2_markov_args& p [[buffer(4)]], device float* best [[buffer(5)]],
+                                 device uint* at [[buffer(6)]], const device bfloat* w2s [[buffer(7)]],
+                                 const device bfloat* w2b [[buffer(8)]], uint2 tg [[threadgroup_position_in_grid]],
+                                 uint2 grid [[threadgroups_per_grid]], uint sg [[simdgroup_index_in_threadgroup]],
+                                 uint lane [[thread_index_in_simdgroup]]) {
+  threadgroup float e[256];
+  threadgroup float sv[8];
+  threadgroup uint si[8];
+  lfm2_markov_scan_t<false>(logits, w1, w2, prev, p, best, at, w2s, w2b, tg, grid, sg, lane, e, sv, si);
+}
+
+// The same scan over the released bf16 W2 [vocab, rank] (buffers 7 and 8 unused).
+[[kernel]] void lfm2_markov_scan_bf16(const device bfloat* logits [[buffer(0)]], const device bfloat* w1 [[buffer(1)]],
+                                      const device uint8_t* w2 [[buffer(2)]], const device uint* prev [[buffer(3)]],
+                                      constant lfm2_markov_args& p [[buffer(4)]], device float* best [[buffer(5)]],
+                                      device uint* at [[buffer(6)]], uint2 tg [[threadgroup_position_in_grid]],
+                                      uint2 grid [[threadgroups_per_grid]], uint sg [[simdgroup_index_in_threadgroup]],
+                                      uint lane [[thread_index_in_simdgroup]]) {
+  threadgroup float e[256];
+  threadgroup float sv[8];
+  threadgroup uint si[8];
+  lfm2_markov_scan_t<true>(logits, w1, w2, prev, p, best, at, w1, w1, tg, grid, sg, lane, e, sv, si);
+}
+
+// DSpark's Markov step pick: the scan's best over a stream's threadgroups (ties to the lowest token), as a Pick.
+[[kernel]] void lfm2_markov_pick(const device float* best [[buffer(0)]], const device uint* at [[buffer(1)]],
+                                 constant uint& groups [[buffer(2)]], device uint* picks [[buffer(3)]],
+                                 uint s [[threadgroup_position_in_grid]], uint t [[thread_index_in_threadgroup]]) {
+  threadgroup float tv[256];
+  threadgroup uint ti[256];
+  threadgroup uint tn[256];
+  float bv = -INFINITY;
+  uint bi = 0xffffffffu, nan = 0;
+  for (uint g = t; g < groups; g += 256) {
+    const float v = best[size_t(s) * groups + g];
+    const uint i = at[size_t(s) * groups + g];
+    if (isnan(v)) nan = 1;
+    else if (v > bv || (v == bv && i < bi)) {
+      bv = v;
+      bi = i;
+    }
+  }
+  tv[t] = bv;
+  ti[t] = bi;
+  tn[t] = nan;
+  threadgroup_barrier(mem_flags::mem_threadgroup);
+  for (uint w = 128; w > 0; w >>= 1) {
+    if (t < w) {
+      const float v = tv[t + w];
+      const uint i = ti[t + w];
+      if (v > tv[t] || (v == tv[t] && i < ti[t])) {
+        tv[t] = v;
+        ti[t] = i;
+      }
+      tn[t] |= tn[t + w];
+    }
+    threadgroup_barrier(mem_flags::mem_threadgroup);
+  }
+  if (t == 0) {
+    picks[2 * s] = ti[0];
+    picks[2 * s + 1] = tn[0];
+  }
+}
+
+// Held drafts from picks[i * stride] into ids[i]; a nonfinite or past-vocabulary pick is token 0 and sets bad.
+[[kernel]] void lfm2_draft_ids(const device uint* picks [[buffer(0)]], constant uint4& p [[buffer(1)]],
+                               device uint* ids [[buffer(2)]], device atomic_uint* bad [[buffer(3)]],
+                               uint i [[thread_position_in_grid]]) {
+  if (i >= p.y) return;
+  const uint token = picks[size_t(i) * p.x];
+  const bool ok = token < p.z && picks[size_t(i) * p.x + 1] == 0u;
+  ids[i] = ok ? token : 0u;
+  if (!ok) atomic_store_explicit(bad, 1u, memory_order_relaxed);
+}
+
+// DSpark's confidence logit of draft i of stream s: proj . [x row s * n + i, W1[previous token]] in fp32, no bias.
+struct lfm2_confidence_args { uint n, pass, vocab, rank, hidden; };
+[[kernel]] void lfm2_dspark_confidence(const device bfloat* x [[buffer(0)]], const device bfloat* w1 [[buffer(1)]],
+                                       const device uint* ids [[buffer(2)]], const device uint* picks [[buffer(3)]],
+                                       const device bfloat* proj [[buffer(4)]],
+                                       constant lfm2_confidence_args& p [[buffer(5)]], device float* out [[buffer(6)]],
+                                       uint2 tg [[threadgroup_position_in_grid]], uint t [[thread_index_in_threadgroup]],
+                                       uint sg [[simdgroup_index_in_threadgroup]],
+                                       uint lane [[thread_index_in_simdgroup]]) {
+  threadgroup float part[8];
+  const uint i = tg.x, s = tg.y;
+  // the previous token: the block's pending id for the first draft, else the Markov step's pick before it
+  const uint id = i == 0 ? ids[size_t(s) * p.n] : picks[2 * (size_t(i - 1) * p.pass + s)];
+  const device bfloat* row = x + (size_t(s) * p.n + i) * p.hidden;
+  float d = 0.0f;
+  for (uint k = t; k < p.hidden; k += 256) d = fma(float(row[k]), float(proj[k]), d);
+  if (id < p.vocab)
+    for (uint k = t; k < p.rank; k += 256) d = fma(float(w1[size_t(id) * p.rank + k]), float(proj[p.hidden + k]), d);
+  d = simd_sum(d);
+  if (lane == 0) part[sg] = d;
+  threadgroup_barrier(mem_flags::mem_threadgroup);
+  if (t != 0) return;
+  float sum = 0.0f;
+  for (uint g = 0; g < 8; ++g) sum += part[g];
+  out[size_t(i) * p.pass + s] = sum;
+}
+
+// DSpark's bf16 linears (the released matrices as stored): y [rows, n] = x [rows, k] W [n, k]^T, fp32 sums, bf16 out.
+struct lfm2_bf16_args { uint rows, n, k; };
+constant constexpr uint BF16_ROWS = 16;
+
+// Few rows: a simdgroup a column of W over 16 rows, so W is read once a 16 rows. k a multiple of 8.
+[[kernel]] void lfm2_bf16_rows(const device bfloat* x [[buffer(0)]], const device bfloat* w [[buffer(1)]],
+                               constant lfm2_bf16_args& p [[buffer(2)]], device bfloat* y [[buffer(3)]],
+                               uint2 tg [[threadgroup_position_in_grid]], uint sg [[simdgroup_index_in_threadgroup]],
+                               uint lane [[thread_index_in_simdgroup]]) {
+  const uint col = tg.x * 8 + sg, r0 = tg.y * BF16_ROWS;
+  if (col >= p.n) return;
+  const uint rows = min(BF16_ROWS, p.rows - r0);
+  float acc[BF16_ROWS];
+  for (uint r = 0; r < BF16_ROWS; ++r) acc[r] = 0.0f;
+  const device bfloat* wr = w + size_t(col) * p.k;
+  const device bfloat* xr = x + size_t(r0) * p.k;
+  for (uint i = 8 * lane; i < p.k; i += 256) {
+    float wv[8];
+    lfm2_unpack8(*(const device uint4*)(wr + i), wv);
+    for (uint r = 0; r < BF16_ROWS; ++r) {
+      if (r >= rows) break;
+      float xv[8];
+      lfm2_unpack8(*(const device uint4*)(xr + size_t(r) * p.k + i), xv);
+      for (int j = 0; j < 8; ++j) acc[r] = fma(wv[j], xv[j], acc[r]);
+    }
+  }
+  for (uint r = 0; r < BF16_ROWS; ++r) {
+    const float sum = simd_sum(acc[r]);
+    if (lane == 0 && r < rows) y[size_t(r0 + r) * p.n + col] = static_cast<bfloat>(sum);
+  }
+}
+
+// Many rows: 64x64 tiles of y, four simdgroups of 32x32, k in steps of 32. k a multiple of 32.
+[[kernel]] void lfm2_bf16_mma(const device bfloat* x [[buffer(0)]], const device bfloat* w [[buffer(1)]],
+                              constant lfm2_bf16_args& p [[buffer(2)]], device bfloat* y [[buffer(3)]],
+                              uint2 tg [[threadgroup_position_in_grid]], uint sg [[simdgroup_index_in_threadgroup]],
+                              uint t [[thread_index_in_threadgroup]]) {
+  threadgroup bfloat xs[64 * 32];
+  threadgroup bfloat ws[64 * 32];
+  threadgroup float out[4][32 * 32];
+  const uint c0 = tg.x * 64, r0 = tg.y * 64;
+  simdgroup_matrix<float, 8, 8> acc[4][4];
+  for (uint i = 0; i < 4; ++i)
+    for (uint j = 0; j < 4; ++j) acc[i][j] = simdgroup_matrix<float, 8, 8>(0.0f);
+  const uint sr = (sg / 2) * 32, sc = (sg % 2) * 32;
+  for (uint k0 = 0; k0 < p.k; k0 += 32) {
+    for (uint i = t; i < 64 * 4; i += 128) { // 64 rows of 32 bf16 as 4 chunks of 8, 16 bytes a load
+      const uint r = i / 4, q = (i % 4) * 8;
+      const uint4 xv = r0 + r < p.rows ? *(const device uint4*)(x + size_t(r0 + r) * p.k + k0 + q) : uint4(0);
+      const uint4 wv = c0 + r < p.n ? *(const device uint4*)(w + size_t(c0 + r) * p.k + k0 + q) : uint4(0);
+      *(threadgroup uint4*)(xs + r * 32 + q) = xv;
+      *(threadgroup uint4*)(ws + r * 32 + q) = wv;
+    }
+    threadgroup_barrier(mem_flags::mem_threadgroup);
+    for (uint kk = 0; kk < 32; kk += 8) {
+      simdgroup_matrix<bfloat, 8, 8> a[4], b[4];
+      for (uint i = 0; i < 4; ++i) simdgroup_load(a[i], xs + (sr + 8 * i) * 32 + kk, 32);
+      for (uint j = 0; j < 4; ++j) simdgroup_load(b[j], ws + (sc + 8 * j) * 32 + kk, 32, ulong2(0, 0), true);
+      for (uint i = 0; i < 4; ++i)
+        for (uint j = 0; j < 4; ++j) simdgroup_multiply_accumulate(acc[i][j], a[i], b[j], acc[i][j]);
+    }
+    threadgroup_barrier(mem_flags::mem_threadgroup);
+  }
+  for (uint i = 0; i < 4; ++i)
+    for (uint j = 0; j < 4; ++j) simdgroup_store(acc[i][j], out[sg] + 8 * i * 32 + 8 * j, 32);
+  simdgroup_barrier(mem_flags::mem_threadgroup);
+  for (uint i = t % 32; i < 32 * 32; i += 32) {
+    const uint r = i / 32, c = i % 32;
+    const uint row = r0 + sr + r, col = c0 + sc + c;
+    if (row < p.rows && col < p.n) y[size_t(row) * p.n + col] = static_cast<bfloat>(out[sg][i]);
+  }
+}
+
+// A drafter block's attention: lfm2_attn_mma where every row sees all keys, its 128 threads reserved for M1 and M2.
+[[max_total_threads_per_threadgroup(128)]] [[kernel]] void lfm2_attn_block(
+    const device bfloat* queries [[buffer(0)]], const device bfloat* keys [[buffer(1)]],
+    const device bfloat* values [[buffer(2)]], constant lfm2_attn_args& p [[buffer(3)]], device float* pm [[buffer(4)]],
+    device float* pl [[buffer(5)]], device float* po [[buffer(6)]], constant uint& rows [[buffer(7)]],
+    uint3 tg [[threadgroup_position_in_grid]], uint tid [[thread_index_in_threadgroup]],
+    uint sg [[simdgroup_index_in_threadgroup]], uint lane [[thread_index_in_simdgroup]]) {
+  threadgroup uint ks[2][HD * (KT / 2)];
+  threadgroup bfloat vs[2][KB * KP];
+  lfm2_attn_rows<1, true>(queries, keys, values, p, pm, pl, po, rows, tg, tid, sg, lane, ks, vs);
+}
diff --git a/zig/kernels/metal/sources.zig b/zig/kernels/metal/sources.zig
index 2506fb4905..9f4604f678 100644
--- a/zig/kernels/metal/sources.zig
+++ b/zig/kernels/metal/sources.zig
@@ -19,7 +19,7 @@ pub const gemma4_prompt_attention = @embedFile("gemma4/prompt_attention.metal");
 pub const gemma4_vision = @embedFile("prefill/gemm_nax.metal") ++ @embedFile("gemma4/vision.metal");
 
 /// LFM2-MoE: embedding, norms, the short conv, attention, the route and the experts' glue.
-pub const lfm2 = @embedFile("lfm2/lfm2.metal") ++ @embedFile("lfm2/lfm2_segments.metal");
+pub const lfm2 = @embedFile("lfm2/lfm2.metal") ++ @embedFile("lfm2/lfm2_dspark.metal") ++ @embedFile("lfm2/lfm2_segments.metal");
 /// LFM2's prompt attention on the tensor units (nax.h inlined at load, after lfm2.metal's text).
 pub const lfm2_attn_nax = @embedFile("lfm2/lfm2_attn_nax.metal");
 
diff --git a/zig/src/core/contract/lfm2_records.zig b/zig/src/core/contract/lfm2_records.zig
index 355559b1ff..2e7587fa3d 100644
--- a/zig/src/core/contract/lfm2_records.zig
+++ b/zig/src/core/contract/lfm2_records.zig
@@ -1,12 +1,23 @@
 //! LFM2-MoE's shared-round and greedy-pick launches (lfm2.metal, lfm2_segments.metal), as the encoders launch them.
 const std = @import("std");
 const M = @import("limits.zig").MetalLaunch;
+// The drafter kernels carry M1 and M2 limits too, recorded from the offline compile; no run covers those chips.
 pub const records = [_]M{
     .{ .name = "metal lfm2 argmax lfm2_argmax", .threads = 1024, .tg_memory = 384, .m1 = 1024, .m2 = 1024 },
     .{ .name = "metal lfm2 stream conv lfm2_conv_segs", .threads = 256, .tg_memory = 0, .m1 = 1024, .m2 = 1024 },
     .{ .name = "metal lfm2 stream attention qk lfm2_qk_segs", .threads = 32, .tg_memory = 0, .m1 = 832, .m2 = 832 },
     .{ .name = "metal lfm2 stream attention lfm2_attn_segs", .threads = 128, .tg_memory = 18688, .reserved = 128 },
     .{ .name = "metal lfm2 stream attention merge lfm2_attn_merge_segs", .threads = 32, .tg_memory = 0, .m1 = 1024, .m2 = 1024 },
+    .{ .name = "metal lfm2 tap lfm2_tap", .threads = 256, .tg_memory = 0, .m1 = 1024, .m2 = 1024 },
+    .{ .name = "metal lfm2 markov scan lfm2_markov_scan", .threads = 256, .tg_memory = 1088, .m1 = 1024, .m2 = 1024 },
+    .{ .name = "metal lfm2 markov scan bf16 lfm2_markov_scan_bf16", .threads = 256, .tg_memory = 1088, .m1 = 1024, .m2 = 1024 },
+    .{ .name = "metal lfm2 bf16 rows lfm2_bf16_rows", .threads = 256, .tg_memory = 0, .m1 = 1024, .m2 = 1024 },
+    .{ .name = "metal lfm2 bf16 tile lfm2_bf16_mma", .threads = 128, .tg_memory = 24576, .m1 = 832, .m2 = 832 },
+    .{ .name = "metal lfm2 markov pick lfm2_markov_pick", .threads = 256, .tg_memory = 3072, .m1 = 1024, .m2 = 1024 },
+    .{ .name = "metal lfm2 draft ids lfm2_draft_ids", .threads = 32, .tg_memory = 0, .m1 = 1024, .m2 = 1024 },
+    .{ .name = "metal lfm2 block attention lfm2_attn_block", .threads = 128, .tg_memory = 18688, .reserved = 128 },
+    .{ .name = "metal lfm2 block attention merge lfm2_attn_block_merge", .threads = 32, .tg_memory = 0, .m1 = 1024, .m2 = 1024 },
+    .{ .name = "metal lfm2 dspark confidence lfm2_dspark_confidence", .threads = 256, .tg_memory = 32, .m1 = 1024, .m2 = 1024 },
 };
 
 test "the LFM2 launches fit every Apple family" {
diff --git a/zig/src/core/engine_api.zig b/zig/src/core/engine_api.zig
index 0f0905212f..38b1d9be0a 100644
--- a/zig/src/core/engine_api.zig
+++ b/zig/src/core/engine_api.zig
@@ -303,10 +303,12 @@ pub const Open = struct {
     /// --parallel named a number: an engine whose memory fits fewer streams refuses instead of serving fewer.
     lanes_fixed: bool = false,
     drafts: bool = true,
-    /// --drafter: a draft model's directory (Qwen3.8-27B's DFlash2; null: none), and --drafter-bits: 4, or 0 for bf16.
+    /// --drafter: a draft model's directory (null: none); --drafter-bits: 4, 0 for bf16, or 8 (LFM2 only).
     drafter: ?[]const u8 = null,
     drafter_name: ?[]const u8 = null, // the supplied --drafter name, before resolving its directory
     drafter_bits: u8 = 4,
+    /// Whether --drafter-bits was given: LFM2's drafter runs bf16 as released unless it is asked for 8-bit codes.
+    drafter_bits_given: bool = false,
     /// --record: each stream's committed rows and tapped features written under this folder, for drafter training.
     record: ?[]const u8 = null,
     speed_up: ?[]const u8 = null,
diff --git a/zig/src/core/lanes/allocate.zig b/zig/src/core/lanes/allocate.zig
index c3c592af60..d15b489c55 100644
--- a/zig/src/core/lanes/allocate.zig
+++ b/zig/src/core/lanes/allocate.zig
@@ -81,12 +81,17 @@ fn rate(costs: *const Table, timed: bool, total: u64, expected: f64, overhead_ms
 /// A chain's nodes' chances from per-depth acceptance (the j-th lands if every earlier one did). Caller frees.
 pub fn chainProbabilities(gpa: Allocator, rates: []const f64, count: usize) ![]f64 {
     const out = try gpa.alloc(f64, count);
+    chainProbabilitiesInto(rates, out);
+    return out;
+}
+
+/// Fill a caller-owned chain buffer without allocating a second copy.
+pub fn chainProbabilitiesInto(rates: []const f64, out: []f64) void {
     var reach: f64 = 1.0;
     for (out, 0..) |*o, j| {
         reach *= if (j < rates.len) rates[j] else rates[rates.len - 1];
         o.* = reach;
     }
-    return out;
 }
 
 /// Costs for 1..rows: timed widths as measured, interpolated between them, the widest's ms a row past it.
diff --git a/zig/src/core/lanes/config.zig b/zig/src/core/lanes/config.zig
index a6721fcf57..deb76d4be2 100644
--- a/zig/src/core/lanes/config.zig
+++ b/zig/src/core/lanes/config.zig
@@ -36,7 +36,11 @@ pub const Model = struct {
     max_streams: u32 = 0, // a shared forward's streams at most (0: 32)
     shared_costs: []const Cost = &.{}, // shared forwards' ms by total rows (timed at load)
     draft_probabilities: bool = false, // the head gives each drafted node's chance of landing
+    granted_depth: bool = false, // with draft_probabilities: every stream drafts its last grant plus a slack
+    draft_slack: u32 = 0, // drafts past a stream's last grant, short or not (0: the Constants' own)
     draft_streams: bool = false, // the head drafts every stream of a shared round in one batch
+    copy_first: bool = false, // a copy ahead takes the round: the head holds no drafts for it (a drafter's own pass)
+    hold_costs: []const @import("hold_price.zig").HoldCost = &.{}, // a drafter's own hold pass, timed at load
     head_trees: bool = false, // the head drafts trees of lanes (DraftRequest.lanes) and holds them
     join_tail: bool = false, // a prompt in pieces leaves its last token for the next shared round's window (Backend.join)
     piece_runs: bool = false, // a round's pieces go to the backend in one call (Backend.pieces: one forward over them)
@@ -66,6 +70,7 @@ pub const Config = struct {
     batch_rows: u32,
     batch_streams: u32,
     node_probabilities: bool,
+    granted_depth: bool = false, // Model.granted_depth
     fill_lanes: u32 = 0, // rows a window may grow to with suffix-match branches (0: off; lanes/fill.zig)
     fill_match: u32 = 8, // context tokens a suffix-match branch must match (shorter ones are coincidental phrases)
     fill_floor: f64 = 0.35, // the share of grafted rows a stream must keep to go on reading its chain back every round
@@ -149,6 +154,7 @@ pub const Config = struct {
             .batch_rows = batch_rows,
             .batch_streams = if (streams) (if (m.max_streams != 0) m.max_streams else 32) else 1,
             .node_probabilities = m.draft_probabilities or m.draft_confidence != null,
+            .granted_depth = m.granted_depth and m.draft_probabilities,
             .draft_streams = m.draft_streams,
             .head_trees = m.head_trees,
             .join_tail = m.join_tail,
@@ -160,7 +166,14 @@ pub const Config = struct {
             .shared_costs = try alloc.extendCosts(gpa, timed.items, batch_rows),
             .lane_costs = try alloc.extendCosts(gpa, m.lane_costs, 64),
             .mtp_step_ms = m.mtp_step_ms,
-            .k = .{ .depth_rate = if (m.depth_rate > 0) m.depth_rate else (Constants{}).depth_rate },
+            .k = .{
+                .depth_rate = if (m.depth_rate > 0) m.depth_rate else (Constants{}).depth_rate,
+                .draft_slack = if (m.draft_slack > 0) m.draft_slack else (Constants{}).draft_slack,
+                .grant_slack = if (m.draft_slack > 0) m.draft_slack else (Constants{}).grant_slack,
+                .short_slack = if (m.draft_slack > 0) m.draft_slack else (Constants{}).short_slack,
+                .copy_first = m.copy_first and !m.context_copies,
+                .hold_costs = m.hold_costs,
+            },
             .draft_step_ms = m.draft_step_ms,
         };
     }
diff --git a/zig/src/core/lanes/depth.zig b/zig/src/core/lanes/depth.zig
index 8595a67aab..efb8dfa018 100644
--- a/zig/src/core/lanes/depth.zig
+++ b/zig/src/core/lanes/depth.zig
@@ -12,8 +12,15 @@ pub const Constants = struct {
     plain_margin: f64 = 1.05, // a drafted depth must beat plain rounds' tokens a ms by this much
     plain_wait_most: u64 = 128, // plain rounds between probes at most
     draft_slack: i64 = 2, // drafts a stream offers past what its last shared round granted it
+    grant_slack: i64 = 1, // granted depths: drafts past a grant that verified every draft the stream held
+    short_slack: i64 = 0, // granted depths: drafts past a grant that left some of them unverified
+    copy_first: bool = false, // a copy ahead takes the next round whole: the head drafts none for it (else one)
+    hold_costs: []const HoldCost = &.{}, // a drafter's own hold pass by blocks and depth: granted holds must pay for it
 };
 
+pub const HoldCost = @import("hold_price.zig").HoldCost;
+const holdMs = @import("hold_price.zig").holdMs;
+
 /// A stream's acceptance by depth and probe counters (Python `_depth_state[stream]`).
 pub const State = struct {
     p: []f64,
@@ -35,6 +42,8 @@ pub const Who = struct {
     finished: bool,
     forced: bool,
     granted: ?u32 = null,
+    grant_short: bool = false, // the last grant left some held drafts unverified (the width did not bind)
+    gain: ?f64 = null, // the drafts its last grant expected to keep (null: none priced)
     stream: ?*anyopaque = null,
     sampled: bool = false, // keyed draws: host work a row that a greedy round does not have
 };
@@ -59,6 +68,7 @@ pub const Rule = struct {
     draft_step_ms: f64 = 0, // a shared round's draft past a stream's first (budgets price it)
     plain_guard: bool,
     node_probabilities: bool,
+    granted_depth: bool = false, // node_probabilities: a stream drafts its last grant plus draft_slack, lone ones too
     confidence_floor: ?f64 = null,
     batch_rows: u32,
     batched_heads: bool = false, // one batch drafts every stream of a shared round (its steps: the deepest stream's)
@@ -68,7 +78,10 @@ pub const Rule = struct {
     shared_rounds: u64 = 0,
     greedy_overhead: std.ArrayList(Overhead) = .empty, // overhead from rounds without a sampled stream
 
+    hold_order: []usize = &.{}, // reused hold ordering, at most batch_rows entries
+
     pub fn deinit(r: *Rule) void {
+        r.gpa.free(r.hold_order);
         r.round_ms.deinit(r.gpa);
         r.overhead.deinit(r.gpa);
         r.greedy_ms.deinit(r.gpa);
@@ -192,17 +205,105 @@ pub const Rule = struct {
         return true;
     }
 
-    /// Python `_head_depth`: the next round's head drafts for a stream (0 when forced, 1 with a copy ahead).
+    /// Drafts past a grant: none when it stopped short of the held drafts (the width did not bind), else grant_slack.
+    fn slack(r: *const Rule, who: Who) i64 {
+        return if (who.grant_short) r.k.short_slack else r.k.grant_slack;
+    }
+
+    /// The last grant plus its slack (the deepest chain before any); after a grant of none, a probe of draft_slack.
+    fn grantDepth(r: *Rule, who: Who) !i64 {
+        const most = @min(@as(i64, r.most_drafts), @max(1, who.draft_room - 1));
+        const granted = who.granted orelse return most;
+        _ = try r.rates(who);
+        const st = &who.state.*.?;
+        if (granted == 0) return if (!r.plain_guard or r.probePlain(st)) @min(most, r.k.draft_slack) else 0;
+        st.plain = 0;
+        st.wait = r.k.depth_probe_every;
+        return @min(most, @as(i64, granted) + r.slack(who));
+    }
+
+    /// Python `_head_depth`: the next round's head drafts for a stream (0 when forced, 1 or none with a copy ahead).
     pub fn headDepth(r: *Rule, who: *const Who, budget: ?i64, probe: Probe) !i64 {
-        const d: i64 = if (who.finished) 0 else if (budget) |b| b else if (r.node_probabilities)
+        const d: i64 = if (who.finished) 0 else if (budget) |b| b else if (r.granted_depth)
+            try r.grantDepth(who.*)
+        else if (r.node_probabilities)
             @min(@as(i64, r.most_drafts), @max(1, who.draft_room - 1))
         else
             try r.depth(who.*);
         if (who.forced) return 0;
-        if (d != 0 and probe.copy(probe.ptr, who)) return 1;
+        if (d != 0 and probe.copy(probe.ptr, who)) return @intFromBool(!r.k.copy_first);
         return d;
     }
 
+    /// A shared hold pads every block to its deepest: depths cut so the drafting streams' blocks fit `rows` (one pass).
+    fn capPass(out: []i64, rows: u32) void {
+        var n: i64 = 0;
+        for (out) |d| n += @intFromBool(d > 0);
+        if (n == 0) return;
+        const most = @max(1, @divFloor(@as(i64, rows), n));
+        for (out) |*d| d.* = @min(d.*, most);
+    }
+
+    /// Granted holds kept, most expected drafts a row first, while they raise the next round's expected tokens a ms.
+    fn payHolds(r: *Rule, whos: []const Who, sampled: bool, out: []i64) !void {
+        if (whos.len > r.batch_rows) return error.BadHoldStreamCount;
+        if (r.hold_order.len == 0) r.hold_order = try r.gpa.alloc(usize, r.batch_rows);
+        const order = r.hold_order[0..whos.len];
+        var m: usize = 0;
+        var probes: usize = 0; // a probe after a grant of none keeps its hold: it measures the stream again
+        var deepest: i64 = 0;
+        for (whos, out, 0..) |w, d, i| {
+            if (d <= 0) continue;
+            if (w.granted == @as(?u32, 0)) {
+                probes += 1;
+                deepest = @max(deepest, d);
+            } else {
+                order[m] = i;
+                m += 1;
+            }
+        }
+        if (m == 0) return;
+        const Ctx = struct {
+            r: *Rule,
+            whos: []const Who,
+            fn less(c: @This(), x: usize, y: usize) bool {
+                const gx = c.r.gainOf(c.whos[x]) catch 0;
+                const gy = c.r.gainOf(c.whos[y]) catch 0;
+                return gx * rowsOf(c.whos[y]) > gy * rowsOf(c.whos[x]) or (gx * rowsOf(c.whos[y]) == gy * rowsOf(c.whos[x]) and x < y);
+            }
+        };
+        std.mem.sort(usize, order[0..m], Ctx{ .r = r, .whos = whos }, Ctx.less);
+        const fixed = r.fixedMs(whos.len, sampled);
+        var rows: f64 = @floatFromInt(whos.len);
+        var tokens = rows;
+        const plain = r.shared_costs.get(@intCast(whos.len)) orelse return;
+        const probe_ms = if (probes > 0) holdMs(r.k.hold_costs, probes, deepest) else 0;
+        var best = tokens / (plain + fixed + probe_ms);
+        var keep: usize = 0;
+        for (order[0..m], 1..) |i, k| {
+            rows += rowsOf(whos[i]);
+            tokens += try r.gainOf(whos[i]);
+            deepest = @max(deepest, out[i]);
+            const verify = r.shared_costs.get(@intFromFloat(@ceil(rows))) orelse break;
+            const now = tokens / (verify + fixed + holdMs(r.k.hold_costs, k + probes, deepest));
+            if (now > best) {
+                best = now;
+                keep = k;
+            }
+        }
+        for (order[keep..m]) |i| out[i] = 0;
+    }
+
+    /// The drafts a granted stream's next round is expected to keep: its last grant's, or its first draft's rate.
+    fn gainOf(r: *Rule, w: Who) !f64 {
+        if (w.gain) |g| if (w.granted != null) return g;
+        return (try r.rates(w))[0];
+    }
+
+    fn rowsOf(w: Who) f64 {
+        return @floatFromInt(@max(1, w.granted orelse 1));
+    }
+
     /// Head drafts for the streams of a shared round, sized by allocation over their chain chances.
     pub fn budgets(r: *Rule, whos: []Who, probe: Probe, sampled: bool, out: []i64) !void {
         if (r.confidence_floor != null) {
@@ -213,8 +314,10 @@ pub const Rule = struct {
             for (whos, out) |*w, *o| {
                 const inner = try r.headDepth(w, null, probe);
                 const granted: i64 = if (w.granted) |g| g else r.most_drafts;
-                o.* = try r.headDepth(w, @min(inner, granted + r.k.draft_slack), probe);
+                o.* = if (r.granted_depth) inner else try r.headDepth(w, @min(inner, granted + r.k.draft_slack), probe);
             }
+            if (r.granted_depth) capPass(out, r.batch_rows);
+            if (r.granted_depth and r.k.hold_costs.len > 0) try r.payHolds(whos, sampled, out);
             return;
         }
         const most = try r.gpa.alloc(i64, whos.len);
@@ -381,3 +484,88 @@ test "a shared round's drafts come out the same whichever depths its overhead wa
     }
     try std.testing.expectEqualSlices(i64, &got[0], &got[1]);
 }
+
+test "granted depths in a shared round fit one hold pass: every block is as deep as the deepest" {
+    const empty: Table = .{};
+    var rule: Rule = .{ .gpa = std.testing.allocator, .prior = &.{0.8}, .most_drafts = 9, .family_costs = &empty, .shared_costs = &empty, .mtp_step_ms = 0.5, .plain_guard = false, .node_probabilities = true, .granted_depth = true, .batch_rows = 32 };
+    defer rule.deinit();
+    var states: [8]?State = @splat(null);
+    defer for (&states) |*st| if (st.*) |*x| x.deinit(std.testing.allocator);
+    var whos: [8]Who = undefined;
+    for (&whos, &states, 0..) |*w, *st, i| w.* = .{ .state = st, .draft_room = 100, .finished = false, .forced = false, .granted = @intCast(i) };
+    const No = struct {
+        fn copy(_: *anyopaque, _: *const Who) bool {
+            return false;
+        }
+    };
+    var unused: u8 = 0;
+    var out: [8]i64 = undefined;
+    try rule.budgets(&whos, .{ .ptr = &unused, .copy = No.copy }, false, &out);
+    // a grant of none probes two; grants 1..7 that took every held draft, plus one; cut to 32 rows over eight blocks
+    try std.testing.expectEqualSlices(i64, &.{ 2, 2, 3, 4, 4, 4, 4, 4 }, &out);
+    try rule.budgets(whos[0..2], .{ .ptr = &unused, .copy = No.copy }, false, out[0..2]);
+    try std.testing.expectEqualSlices(i64, &.{ 2, 2 }, out[0..2]); // two blocks fit whole
+    for (whos[0..2]) |*w| w.grant_short = true;
+    try rule.budgets(whos[0..2], .{ .ptr = &unused, .copy = No.copy }, false, out[0..2]);
+    try std.testing.expectEqualSlices(i64, &.{ 2, 1 }, out[0..2]); // a grant short of the held drafts: no slack
+}
+
+test "a copy ahead: one head draft beside it, or none when the head's drafts cost a pass of their own" {
+    const empty: Table = .{};
+    const Yes = struct {
+        fn copy(_: *anyopaque, _: *const Who) bool {
+            return true;
+        }
+    };
+    var unused: u8 = 0;
+    const probe: Probe = .{ .ptr = &unused, .copy = Yes.copy };
+    var st: ?State = null;
+    defer if (st) |*x| x.deinit(std.testing.allocator);
+    const who: Who = .{ .state = &st, .draft_room = 100, .finished = false, .forced = false, .granted = 3 };
+    for ([_]bool{ false, true }) |first| {
+        var rule: Rule = .{ .gpa = std.testing.allocator, .k = .{ .copy_first = first }, .prior = &.{0.8}, .most_drafts = 9, .family_costs = &empty, .shared_costs = &empty, .mtp_step_ms = 0.5, .plain_guard = false, .node_probabilities = true, .granted_depth = true, .batch_rows = 32 };
+        defer rule.deinit();
+        try std.testing.expectEqual(@as(i64, @intFromBool(!first)), try rule.headDepth(&who, null, probe));
+        var out: [1]i64 = undefined;
+        var whos = [_]Who{who};
+        try rule.budgets(&whos, probe, false, &out);
+        try std.testing.expectEqual(@as(i64, @intFromBool(!first)), out[0]);
+    }
+}
+
+test "a granted hold stays only while its stream's expected drafts pay for the verify rows and the hold pass" {
+    const gpa = std.testing.allocator;
+    var shared: Table = .{};
+    defer shared.deinit(gpa);
+    for (1..33) |w| try shared.put(gpa, @intCast(w), 10.0 + @as(f64, @floatFromInt(w)));
+    const empty: Table = .{};
+    const cheap = [_]HoldCost{ .{ .streams = 1, .depth = 1, .ms = 1.0 }, .{ .streams = 8, .depth = 1, .ms = 4.5 } };
+    var states: [4]?State = @splat(null);
+    defer for (&states) |*st| if (st.*) |*x| x.deinit(gpa);
+    const granted = [_]?u32{ 2, 2, 0, 1 };
+    const gains = [_]?f64{ 1.8, 0.2, null, 0.9 };
+    var whos: [4]Who = undefined;
+    for (&whos, &states, granted, gains) |*w, *st, g, x| w.* = .{ .state = st, .draft_room = 100, .finished = false, .forced = false, .granted = g, .gain = x };
+    var rule: Rule = .{ .gpa = gpa, .k = .{ .hold_costs = &cheap }, .prior = &.{0.8}, .most_drafts = 9, .family_costs = &empty, .shared_costs = &shared, .mtp_step_ms = 0.5, .plain_guard = true, .node_probabilities = true, .granted_depth = true, .batch_rows = 32 };
+    defer rule.deinit();
+    // 8 ms overhead: plain 4 / 22; stream 0 then 3 raise the rate (5.8 / 25, 6.7 / 26.5), stream 1 would lower it
+    var out = [_]i64{ 4, 4, 0, 3 };
+    try rule.payHolds(&whos, false, &out);
+    try std.testing.expectEqualSlices(i64, &.{ 4, 0, 0, 3 }, &out);
+    var failing = std.testing.FailingAllocator.init(gpa, .{ .fail_index = 0 });
+    rule.gpa = failing.allocator();
+    out = .{ 4, 4, 0, 3 };
+    try rule.payHolds(&whos, false, &out);
+    try std.testing.expect(!failing.has_induced_failure);
+    try std.testing.expectEqualSlices(i64, &.{ 4, 0, 0, 3 }, &out);
+    rule.gpa = gpa;
+    const dear = [_]HoldCost{.{ .streams = 1, .depth = 1, .ms = 20.0 }};
+    rule.k.hold_costs = &dear;
+    out = .{ 4, 4, 0, 3 };
+    try rule.payHolds(&whos, false, &out);
+    try std.testing.expectEqualSlices(i64, &.{ 0, 0, 0, 0 }, &out); // no gain pays a 20 ms pass
+    whos[2].granted = 0;
+    out = .{ 4, 4, 2, 3 };
+    try rule.payHolds(&whos, false, &out);
+    try std.testing.expectEqualSlices(i64, &.{ 0, 0, 2, 0 }, &out); // a probe after a grant of none keeps its hold
+}
diff --git a/zig/src/core/lanes/drafted.zig b/zig/src/core/lanes/drafted.zig
index b7b9ca5bc6..6c9f7edc4b 100644
--- a/zig/src/core/lanes/drafted.zig
+++ b/zig/src/core/lanes/drafted.zig
@@ -105,6 +105,15 @@ pub const Drafted = struct {
         m.draft_streams = d.batched;
         m.draft_probabilities = false;
         m.head_trees = d.trees;
+        m.copy_first = d.copy_first;
+        m.hold_costs = d.hold_costs;
+        if (d.chances and x.drafter.vtable.chances != null) {
+            // a chain's drafts priced by the drafter's own chances; the next hold as deep as the grant and its slack
+            m.draft_probabilities = d.confidence_floor == null;
+            m.draft_confidence = d.confidence_floor;
+            m.granted_depth = d.confidence_floor == null;
+            m.draft_slack = d.slack;
+        }
         if (d.tree_nodes > 0) {
             // the drafter grows its own trees, best first, and prices their nodes
             m.drafts = @min(d.tree_nodes, if (target.exact_width > 1) target.exact_width - 1 else 0);
diff --git a/zig/src/core/lanes/drafted_chances_test.zig b/zig/src/core/lanes/drafted_chances_test.zig
new file mode 100644
index 0000000000..233ec38fe5
--- /dev/null
+++ b/zig/src/core/lanes/drafted_chances_test.zig
@@ -0,0 +1,287 @@
+//! A drafter that prices its chains (Facts.chances): verify rows go by its chances and replies stay one-token decode.
+const std = @import("std");
+const Config = @import("config.zig").Config;
+const Model = @import("config.zig").Model;
+const Cost = @import("config.zig").Cost;
+const Engine = @import("engine.zig").Engine;
+const be = @import("backend.zig");
+const sm = @import("stream.zig");
+const fake = @import("fake.zig");
+const dr = @import("drafter.zig");
+const depth = @import("depth.zig");
+const Table = @import("table.zig").Table;
+const Drafted = @import("drafted.zig").Drafted;
+const dt = @import("drafted_test.zig");
+
+const gpa = std.testing.allocator;
+const most_streams = 8;
+
+/// drafted_test's drafter with a chance for each held draft: `sure` where its guess is right, `unsure` where wrong.
+const Priced = struct {
+    head: dt.FakeDrafter,
+    sure: f64 = 0.7,
+    unsure: f64 = 0.7,
+    vtable: dr.Drafter.VTable = undefined,
+    inner_hold: *const fn (*anyopaque, []const dr.Hold) anyerror!void = undefined,
+    at: std.AutoHashMapUnmanaged(*sm.Stream, u64) = .empty, // each stream's last hold's position
+    asked: u32 = 0,
+    held: u64 = 0, // drafts its holds asked for
+
+    fn of(ptr: *anyopaque) *Priced {
+        return @fieldParentPtr("head", @as(*dt.FakeDrafter, @ptrCast(@alignCast(ptr))));
+    }
+
+    fn hold(ptr: *anyopaque, items: []const dr.Hold) anyerror!void {
+        const p = of(ptr);
+        for (items) |it| {
+            try p.at.put(gpa, it.stream, it.position);
+            p.held += it.depth;
+        }
+        return p.inner_hold(ptr, items);
+    }
+
+    /// The running product along the chain, as the DSpark confidence head's survivals are.
+    fn chances(ptr: *anyopaque, s: *sm.Stream, out: []f64) anyerror!bool {
+        const p = of(ptr);
+        const lane = p.head.lanes.getPtr(s) orelse return false;
+        if (out.len > lane.held.items.len) return error.TooFewDrafts;
+        const position = p.at.get(s) orelse return error.NoHold;
+        p.asked += 1;
+        var reach: f64 = 1;
+        for (out, 0..) |*o, j| {
+            const at = position + j;
+            reach *= if ((at *% 2654435761 + j) % 5 == 0) p.unsure else p.sure; // drafted_test's wrong guesses
+            o.* = reach;
+        }
+        return true;
+    }
+
+    fn drafter(p: *Priced) dr.Drafter {
+        const base_ = p.head.drafter();
+        p.vtable = base_.vtable.*;
+        p.inner_hold = base_.vtable.hold;
+        p.vtable.hold = hold;
+        p.vtable.chances = chances;
+        return .{ .ptr = &p.head, .vtable = &p.vtable };
+    }
+
+    fn deinit(p: *Priced) void {
+        p.at.deinit(gpa);
+        p.head.deinit();
+    }
+};
+
+/// Every shared verify's window rows: whether one round gave its streams unequal rows (a ragged verify).
+const Seen = struct {
+    var inner: *const fn (*anyopaque, []const be.Window, []be.Verified) anyerror!void = undefined;
+    var ragged: u32 = 0;
+    var rows: u64 = 0;
+
+    fn verify(ptr: *anyopaque, windows: []const be.Window, out: []be.Verified) anyerror!void {
+        for (windows) |w| {
+            rows += w.rows();
+            if (w.rows() != windows[0].rows()) {
+                ragged += 1;
+                break;
+            }
+        }
+        return inner(ptr, windows, out);
+    }
+};
+
+var costs: [16]Cost = undefined;
+
+fn base() Model {
+    for (&costs, 1..) |*c, w| c.* = .{ .width = @intCast(w), .ms = 5.0 + 0.8 * @as(f64, @floatFromInt(w)) };
+    return .{ .exact_width = 16, .gpu_tokens = true, .window_costs = &costs, .hidden_rows = true, .batch_rows = 32, .max_streams = most_streams };
+}
+
+const Run = struct { tokens: [most_streams][64]u32 = undefined, lens: [most_streams]usize = @splat(0), drafted: u64 = 0, holds: u32 = 0, asked: u32 = 0, ragged: u32 = 0, rows: u64 = 0, held: u64 = 0 };
+
+/// The drafter's Facts.slack for the next runs (0: the depth rule's own; 9: every hold the whole block).
+var slack: u32 = 0;
+
+/// The drafter's chances: equal everywhere, or knowing its wrong guesses (a confidence head that ranks well).
+const Head = enum { flat, knows };
+
+/// Each prompt decoded together (one stream: alone); `floor` null: the chances price rows, else a fixed window.
+fn run(prompts: []const []const u32, drafts: bool, floor: ?f64, head: Head) !Run {
+    var target: fake.Fake = .{ .gpa = gpa };
+    defer target.deinit();
+    var p: Priced = .{ .head = .{ .facts_ = .{ .depth = 9, .step_ms = 0.5, .batched = true, .chances = true, .confidence_floor = floor, .slack = slack } } };
+    if (head == .knows) {
+        p.sure = 0.95;
+        p.unsure = 0.05;
+    }
+    defer p.deinit();
+    var strict: dt.Strict = .{ .inner = target.backend() };
+    defer strict.deinit();
+    var seen = strict.backend();
+    var table = seen.vtable.*;
+    Seen.inner = table.verify;
+    Seen.ragged = 0;
+    Seen.rows = 0;
+    table.verify = Seen.verify;
+    seen.vtable = &table;
+    var wrapped = try Drafted.init(gpa, seen, p.drafter());
+    defer wrapped.deinit();
+    var cfg = try Config.init(gpa, if (drafts) wrapped.facts(base()) else base(), 16, 15);
+    defer cfg.deinit(gpa);
+    var clock: fake.FixedClock = .{};
+    var engine = Engine.init(gpa, &cfg, if (drafts) wrapped.backend() else target.backend(), clock.clock());
+    defer engine.deinit();
+    var streams: [most_streams]sm.Stream = undefined;
+    const n = prompts.len;
+    for (prompts, streams[0..n]) |prompt, *s| s.* = try sm.Stream.init(gpa, .{ .id = "s", .prompt = prompt, .max_new = 48, .eos = &.{96}, .drafts = drafts });
+    defer for (streams[0..n]) |*s| s.deinit(gpa);
+    for (streams[0..n]) |*s| try engine.addStream(s);
+    while (engine.activeCount() > 0) try engine.step();
+    var out: Run = .{ .holds = p.head.holds, .asked = p.asked, .ragged = Seen.ragged, .rows = Seen.rows, .held = p.held };
+    for (streams[0..n], 0..) |*s, i| {
+        out.lens[i] = s.emitted().len;
+        @memcpy(out.tokens[i][0..out.lens[i]], s.emitted());
+        out.drafted += s.drafted;
+    }
+    return out;
+}
+
+fn expectSame(a: Run, b: Run, n: usize) !void {
+    for (0..n) |i| try std.testing.expectEqualSlices(u32, a.tokens[i][0..a.lens[i]], b.tokens[i][0..b.lens[i]]);
+}
+
+/// `n` streams of unequal prompts, each a prefix of drafted_test's long prompt.
+fn unequal(buf: *[most_streams][]const u32, n: usize) []const []const u32 {
+    for (buf[0..n], 0..) |*p, i| p.* = dt.long[0 .. 11 + i];
+    return buf[0..n];
+}
+
+test "a drafter's chances price its chain's rows, and drafted replies equal one-token decode alone and shared" {
+    const sets = [_][]const []const u32{ &.{&dt.p1}, &.{ &dt.p1, &dt.long, &dt.p1 } };
+    for (sets) |ps| {
+        const plain = try run(ps, false, null, .flat);
+        const priced = try run(ps, true, null, .flat);
+        try expectSame(plain, priced, ps.len);
+        try std.testing.expect(priced.asked > 0 and priced.drafted > 0); // the window allocator read the chances
+        const fixed = try run(ps, true, 0, .flat);
+        try expectSame(plain, fixed, ps.len);
+        try std.testing.expect(fixed.drafted > priced.drafted); // a fixed window verifies every draft the rows fit
+    }
+}
+
+test "at 1, 4 and 8 streams the scheduled and the fixed verify equal one-token decode; shared rounds are ragged" {
+    var buf: [most_streams][]const u32 = undefined;
+    for ([_]usize{ 1, 4, 8 }) |n| {
+        const ps = unequal(&buf, n);
+        const plain = try run(ps, false, null, .flat);
+        const scheduled = try run(ps, true, null, .knows);
+        try expectSame(plain, scheduled, n);
+        const fixed = try run(ps, true, 0, .knows);
+        try expectSame(plain, fixed, n);
+        try std.testing.expect(scheduled.asked > 0 and scheduled.drafted > 0);
+        // a confident head's survivals cut each stream's chain where its guess goes wrong: fewer rows verified
+        try std.testing.expect(scheduled.rows < fixed.rows);
+        if (n > 1) try std.testing.expect(scheduled.ragged > 0); // streams' verify lengths differ within a round
+    }
+}
+
+test "the drafter's chances reach the lane facts: rows by chances and holds by grants, or a fixed window" {
+    var p: Priced = .{ .head = .{ .facts_ = .{ .depth = 9, .step_ms = 0.5, .chances = true } } };
+    defer p.deinit();
+    var target: fake.Fake = .{ .gpa = gpa };
+    defer target.deinit();
+    var wrapped: Drafted = .{ .gpa = gpa, .target = target.backend(), .drafter = p.drafter() };
+    defer wrapped.deinit();
+    const m = wrapped.facts(base());
+    try std.testing.expect(m.draft_probabilities and m.granted_depth and m.draft_confidence == null);
+    var cfg = try Config.init(gpa, m, 16, 15);
+    defer cfg.deinit(gpa);
+    try std.testing.expectEqual(@as(i64, 2), cfg.k.draft_slack); // the depth rule's own
+    try std.testing.expect(cfg.k.grant_slack == 1 and cfg.k.short_slack == 0); // a granted width's own
+    p.head.facts_.slack = 1;
+    var one = try Config.init(gpa, wrapped.facts(base()), 16, 15);
+    defer one.deinit(gpa);
+    try std.testing.expectEqual(@as(i64, 1), one.k.draft_slack); // a drafter's own slack past its grant
+    try std.testing.expect(one.k.grant_slack == 1 and one.k.short_slack == 1); // short or not
+    p.head.facts_.confidence_floor = 0;
+    const f = wrapped.facts(base());
+    try std.testing.expect(!f.draft_probabilities and !f.granted_depth and f.draft_confidence.? == 0);
+    p.head.facts_.chances = false;
+    const none = wrapped.facts(base());
+    try std.testing.expect(!none.draft_probabilities and none.draft_confidence == null);
+}
+
+test "a granted depth: the deepest chain first, then the grant plus its slack, and after a grant of none a probe" {
+    const empty: Table = .{};
+    var rule: depth.Rule = .{ .gpa = gpa, .prior = &.{0.8}, .most_drafts = 9, .family_costs = &empty, .shared_costs = &empty, .mtp_step_ms = 0.5, .plain_guard = true, .node_probabilities = true, .granted_depth = true, .batch_rows = 32 };
+    defer rule.deinit();
+    var st: ?depth.State = null;
+    defer if (st) |*s| s.deinit(gpa);
+    const No = struct {
+        fn copy(_: *anyopaque, _: *const depth.Who) bool {
+            return false;
+        }
+    };
+    var unused: u8 = 0;
+    const probe: depth.Probe = .{ .ptr = &unused, .copy = No.copy };
+    var who: depth.Who = .{ .state = &st, .draft_room = 100, .finished = false, .forced = false };
+    try std.testing.expectEqual(@as(i64, 9), try rule.headDepth(&who, null, probe));
+    who.granted = 3;
+    try std.testing.expectEqual(@as(i64, 4), try rule.headDepth(&who, null, probe)); // every held draft granted: one more
+    who.grant_short = true;
+    try std.testing.expectEqual(@as(i64, 3), try rule.headDepth(&who, null, probe)); // drafts left unverified: the grant
+    who.grant_short = false;
+    who.granted = 8;
+    try std.testing.expectEqual(@as(i64, 9), try rule.headDepth(&who, null, probe));
+    rule.k.grant_slack = 2; // a drafter's slack sets both
+    rule.k.short_slack = 2;
+    who.grant_short = true;
+    who.granted = 3;
+    try std.testing.expectEqual(@as(i64, 5), try rule.headDepth(&who, null, probe));
+    who.granted = 0;
+    var drafted: usize = 0;
+    for (0..8) |_| drafted += @intFromBool(try rule.headDepth(&who, null, probe) > 0);
+    try std.testing.expectEqual(@as(usize, 1), drafted); // one probe of draft_slack drafts in the first eight rounds
+}
+
+test "holds as wide as the grants: replies equal one-token decode at 1, 4 and 8 streams, fewer drafts than whole blocks" {
+    var buf: [most_streams][]const u32 = undefined;
+    defer slack = 0;
+    for ([_]usize{ 1, 4, 8 }) |n| {
+        const ps = unequal(&buf, n);
+        const plain = try run(ps, false, null, .flat);
+        for ([_]Head{ .flat, .knows }) |head| {
+            slack = 0;
+            const narrow = try run(ps, true, null, head);
+            slack = 2;
+            const two = try run(ps, true, null, head);
+            slack = 9;
+            const whole = try run(ps, true, null, head);
+            try expectSame(plain, narrow, n);
+            try expectSame(plain, two, n);
+            try expectSame(plain, whole, n);
+            try std.testing.expect(narrow.drafted > 0);
+            try std.testing.expect(narrow.held < two.held and two.held < whole.held);
+        }
+    }
+}
+
+test "hold budgeting queries a stateful copy proposer once for a granted depth" {
+    const empty: Table = .{};
+    var rule: depth.Rule = .{ .gpa = gpa, .prior = &.{0.8}, .most_drafts = 9, .family_costs = &empty, .shared_costs = &empty, .mtp_step_ms = 1, .plain_guard = true, .node_probabilities = true, .granted_depth = true, .batch_rows = 32 };
+    defer rule.deinit();
+    var state: ?depth.State = null;
+    defer if (state) |*s| s.deinit(gpa);
+    var whos = [_]depth.Who{.{ .state = &state, .draft_room = 64, .finished = false, .forced = false, .granted = 1 }};
+    const Changing = struct {
+        fn copy(ptr: *anyopaque, _: *const depth.Who) bool {
+            const calls: *usize = @ptrCast(@alignCast(ptr));
+            calls.* += 1;
+            return calls.* > 1;
+        }
+    };
+    var calls: usize = 0;
+    var out: [1]i64 = undefined;
+    try rule.budgets(&whos, .{ .ptr = &calls, .copy = Changing.copy }, false, &out);
+    try std.testing.expectEqual(@as(usize, 1), calls);
+    try std.testing.expectEqual(@as(i64, 2), out[0]);
+}
diff --git a/zig/src/core/lanes/drafted_copy_test.zig b/zig/src/core/lanes/drafted_copy_test.zig
new file mode 100644
index 0000000000..329731f69c
--- /dev/null
+++ b/zig/src/core/lanes/drafted_copy_test.zig
@@ -0,0 +1,135 @@
+//! A drafter whose hold costs a pass of its own: no hold for a stream whose next round is a copy.
+const std = @import("std");
+const Config = @import("config.zig").Config;
+const Engine = @import("engine.zig").Engine;
+const be = @import("backend.zig");
+const sm = @import("stream.zig");
+const fake = @import("fake.zig");
+const dr = @import("drafter.zig");
+const Proposer = @import("proposer.zig").Proposer;
+const Drafted = @import("drafted.zig").Drafted;
+const dt = @import("drafted_test.zig");
+
+const gpa = std.testing.allocator;
+
+/// Copies the fake target's own continuation (it lands whole) whenever the context's length is a multiple of three.
+const Copier = struct {
+    out: [3]u32 = undefined,
+    match: i64 = 0,
+
+    fn propose(ptr: *anyopaque, context: []const u32, most: i64) anyerror![]const u32 {
+        const c: *Copier = @ptrCast(@alignCast(ptr));
+        c.match = 0;
+        if (context.len % 3 != 0 or most < 2) return &.{};
+        var history: [128]u32 = undefined;
+        @memcpy(history[0..context.len], context);
+        const n: usize = @intCast(@min(3, most));
+        for (c.out[0..n], 0..) |*t, k| {
+            t.* = fake.next(history[0 .. context.len + k], null, 0);
+            history[context.len + k] = t.*;
+        }
+        c.match = 100;
+        return c.out[0..n];
+    }
+
+    fn lastMatch(ptr: *anyopaque) i64 {
+        return @as(*Copier, @ptrCast(@alignCast(ptr))).match;
+    }
+
+    const vtable: Proposer.VTable = .{ .propose = propose, .last_match = lastMatch };
+};
+
+/// Each stream's last hold position, and the copy windows verified at a position a hold was asked for.
+const Watch = struct {
+    var inner_hold: *const fn (*anyopaque, []const dr.Hold) anyerror!void = undefined;
+    var inner_verify: *const fn (*anyopaque, []const be.Window, []be.Verified) anyerror!void = undefined;
+    var at: [4]?u64 = @splat(null);
+    var streams: [4]?*sm.Stream = @splat(null);
+    var wasted: u32 = 0;
+    var copies: u32 = 0;
+    var blocks: u32 = 0; // the streams' blocks held, over every hold
+
+    fn slot(s: *sm.Stream) usize {
+        for (&streams, 0..) |*x, i| if (x.* == null or x.* == s) {
+            x.* = s;
+            return i;
+        };
+        unreachable;
+    }
+
+    fn hold(ptr: *anyopaque, items: []const dr.Hold) anyerror!void {
+        blocks += @intCast(items.len);
+        // a joining stream's first hold comes before its first token is read: no copy can be foreseen for it
+        for (items) |it| at[slot(it.stream)] = if (it.stream.emitted().len > 0) it.position else null;
+        return inner_hold(ptr, items);
+    }
+
+    fn verify(ptr: *anyopaque, windows: []const be.Window, out: []be.Verified) anyerror!void {
+        for (windows) |w| if (w.held == 0 and w.tokens.len > 0) {
+            copies += 1;
+            if (at[slot(w.stream)] == w.positions[0]) wasted += 1;
+        };
+        return inner_verify(ptr, windows, out);
+    }
+};
+
+const Run = struct { tokens: [3][64]u32 = undefined, lens: [3]usize = @splat(0), holds: u32 = 0, wasted: u32 = 0, copies: u32 = 0 };
+
+fn run(n: usize, drafts: bool, copy_first: bool) !Run {
+    Watch.at = @splat(null);
+    Watch.streams = @splat(null);
+    Watch.wasted = 0;
+    Watch.copies = 0;
+    Watch.blocks = 0;
+    var target: fake.Fake = .{ .gpa = gpa };
+    defer target.deinit();
+    var head: dt.FakeDrafter = .{ .facts_ = .{ .depth = 4, .step_ms = 0.5, .batched = true, .copy_first = copy_first } };
+    defer head.deinit();
+    var hooked = head.drafter();
+    var table = hooked.vtable.*;
+    Watch.inner_hold = table.hold;
+    table.hold = Watch.hold;
+    hooked.vtable = &table;
+    var wrapped = try Drafted.init(gpa, target.backend(), hooked);
+    defer wrapped.deinit();
+    // the round loop's windows, before the wrapper turns held drafts into host tokens
+    var seen = if (drafts) wrapped.backend() else target.backend();
+    var verified = seen.vtable.*;
+    Watch.inner_verify = verified.verify;
+    verified.verify = Watch.verify;
+    seen.vtable = &verified;
+    const m: @import("config.zig").Model = .{ .exact_width = 16, .gpu_tokens = true, .hidden_rows = true, .batch_rows = 32, .max_streams = 4 };
+    var cfg = try Config.init(gpa, if (drafts) wrapped.facts(m) else m, 16, 15);
+    defer cfg.deinit(gpa);
+    var clock: fake.FixedClock = .{};
+    var engine = Engine.init(gpa, &cfg, seen, clock.clock());
+    defer engine.deinit();
+    var copiers: [3]Copier = @splat(.{});
+    var streams: [3]sm.Stream = undefined;
+    for (streams[0..n], copiers[0..n], 0..) |*s, *c, i| s.* = try sm.Stream.init(gpa, .{ .id = "s", .prompt = dt.long[0 .. 12 + i], .max_new = 40, .eos = &.{96}, .drafts = drafts, .proposer = .{ .ptr = c, .vtable = &Copier.vtable } });
+    defer for (streams[0..n]) |*s| s.deinit(gpa);
+    for (streams[0..n]) |*s| try engine.addStream(s);
+    while (engine.activeCount() > 0) try engine.step();
+    var out: Run = .{ .holds = Watch.blocks, .wasted = Watch.wasted, .copies = Watch.copies };
+    for (streams[0..n], 0..) |*s, i| {
+        out.lens[i] = s.emitted().len;
+        @memcpy(out.tokens[i][0..out.lens[i]], s.emitted());
+    }
+    return out;
+}
+
+test "a copy ahead takes the round: with copy_first no hold is asked for it, and replies equal one-token decode" {
+    for ([_]usize{ 1, 3 }) |n| {
+        const plain = try run(n, false, false);
+        const before = try run(n, true, false);
+        const after = try run(n, true, true);
+        for (0..n) |i| {
+            try std.testing.expectEqualSlices(u32, plain.tokens[i][0..plain.lens[i]], before.tokens[i][0..before.lens[i]]);
+            try std.testing.expectEqualSlices(u32, plain.tokens[i][0..plain.lens[i]], after.tokens[i][0..after.lens[i]]);
+        }
+        try std.testing.expect(before.copies > 0 and after.copies > 0);
+        try std.testing.expect(before.wasted > 0); // a hold of one draft beside each copy, dropped by the copy round
+        try std.testing.expectEqual(@as(u32, 0), after.wasted);
+        try std.testing.expect(after.holds < before.holds);
+    }
+}
diff --git a/zig/src/core/lanes/drafter.zig b/zig/src/core/lanes/drafter.zig
index 2d82d40d04..8ecd22db47 100644
--- a/zig/src/core/lanes/drafter.zig
+++ b/zig/src/core/lanes/drafter.zig
@@ -18,6 +18,11 @@ pub const Facts = struct {
     window_costs: []const Cost = &.{}, // the target's window ms by rows (timed at load), for the depth rule
     lane_costs: []const Cost = &.{}, // the same for the lane planner (Model.lane_costs)
     tree_nodes: u32 = 0, // hold() without lanes grows its own tree of up to `depth` nodes, at most this many (tree, chances)
+    chances: bool = false, // chances() gives each held chain draft's chance: verify rows go by them (Model.granted_depth)
+    confidence_floor: ?f64 = null, // with chances: every round drafts the deepest chain and verifies drafts this likely
+    slack: u32 = 0, // with chances: drafts a hold offers past the stream's last grant (0: the depth rule's own)
+    copy_first: bool = false, // a hold costs a pass of its own: none is asked for a stream with a copy ahead
+    hold_costs: []const @import("hold_price.zig").HoldCost = &.{}, // that pass's ms by blocks and depth (timed at load)
 };
 
 /// Target rows [start, start + features.rows) and the token after each; `rows`, when given, picks which to absorb.
diff --git a/zig/src/core/lanes/engine.zig b/zig/src/core/lanes/engine.zig
index 5d357c646d..3bf6c297da 100644
--- a/zig/src/core/lanes/engine.zig
+++ b/zig/src/core/lanes/engine.zig
@@ -16,6 +16,7 @@ const lone_costs = @import("lone_costs.zig");
 const open = @import("open.zig");
 const handover = @import("handover.zig");
 const trim = @import("trim.zig");
+const pipelined = @import("pipelined.zig");
 const Stream = sm.Stream;
 const Feed = be.Feed;
 const LogRow = @import("logprob.zig").Row;
@@ -24,7 +25,7 @@ const f = ev.f;
 const str = trail.str;
 const int = trail.int;
 const Outcome = struct { got: []const u32, path: []const u32, cut: ?usize, follow: []const u32 };
-const Result = struct { rows: u32, keep: u32, got: []const u32 };
+pub const Result = struct { rows: u32, keep: u32, got: []const u32 };
 const Unread = struct { event: usize, handle: u64 };
 pub const Engine = struct {
     const pieces_ = @import("pieces.zig");
@@ -70,6 +71,7 @@ pub const Engine = struct {
                 .draft_step_ms = cfg.draft_step_ms,
                 .plain_guard = cfg.plain_guard,
                 .node_probabilities = cfg.node_probabilities,
+                .granted_depth = cfg.granted_depth,
                 .confidence_floor = cfg.draft_confidence,
                 .batch_rows = cfg.batch_rows,
                 .batched_heads = cfg.draft_streams,
@@ -124,7 +126,7 @@ pub const Engine = struct {
         if (live.items.len > 1 and e.cfg.family_streams) {
             // a shared round is synchronous: a stream that ran a step ahead lands its queued token first
             for (live.items) |s| {
-                if (s.inflight != null) try e.landInflight(s);
+                if (s.inflight != null) try pipelined.land(e, s);
             }
             var kept: usize = 0;
             for (live.items) |s| {
@@ -147,7 +149,7 @@ pub const Engine = struct {
             for (live.items) |s| {
                 // logprobs and grammars take verify windows: rows' logits are read, or bits made, before a forward
                 const windowed = (e.cfg.family_mtp and s.drafts) or !e.cfg.pipelined or s.logprobs != null or s.grammar != null;
-                const r = if (windowed) try e.familyRound(s, null) else try e.pipelinedRound(s);
+                const r = if (windowed) try e.familyRound(s, null) else try pipelined.round(e, s);
                 s.min_rows = if (s.min_rows == 0) r.rows else @min(s.min_rows, r.rows);
             }
         }
@@ -195,7 +197,7 @@ pub const Engine = struct {
     }
 
     /// One stream's round: verify pending and drafted tokens together, keep drafts to the first mismatch.
-    fn familyRound(e: *Engine, s: *Stream, copied: ?win.Copy) !Result {
+    pub fn familyRound(e: *Engine, s: *Stream, copied: ?win.Copy) !Result {
         e.clock.start();
         const priced = s.priced;
         s.priced = null;
@@ -490,64 +492,6 @@ pub const Engine = struct {
         }
     }
 
-    /// One token, the next forward queued first; a copied continuation ahead switches to verify windows.
-    fn pipelinedRound(e: *Engine, s: *Stream) !Result {
-        const before = s.mode;
-        // an adopted stream holds neither a mode nor a queued step: it starts where a drain step leaves one
-        const mode: sm.Mode = s.mode orelse if (s.inflight == null) .verify else .pipe;
-        var result: Result = .{ .rows = 1, .keep = 1, .got = &.{} };
-        if (mode == .verify or mode == .exit) {
-            const verifying = mode == .verify and e.cfg.family_width >= 2;
-            const proposal: win.Copy = if (verifying) try win.copyProposal(e, s) else .{};
-            if (proposal.tokens.len > 0) {
-                const copied = try e.arena.allocator().dupe(u32, proposal.tokens);
-                result = try e.familyRound(s, .{ .tokens = copied, .recalled = proposal.recalled });
-                if (result.keep == 1 or s.force.items.len > 0) s.mode = .exit;
-            } else {
-                // nothing to copy: back to steps queued ahead (this one lands next round)
-                s.mode = .pipe;
-                try e.queueNext(s, .{ .value = s.pending.? });
-            }
-            try trail.pipe(e, s, before, result.got);
-            return result;
-        }
-        var current: Feed = .{ .handle = s.inflight.? };
-        s.inflight = null;
-        if (try e.forcedNext(s)) |t| current = .{ .value = t };
-        var token: u32 = undefined;
-        if (mode == .drain) {
-            token = try e.readFeed(current); // the last queued step: no new one
-            s.mode = .verify;
-        } else {
-            try e.queueNext(s, current); // the GPU starts the next step first
-            token = try e.readFeed(current);
-        }
-        s.rounds += 1;
-        const landed = try s.commit(e.gpa, &.{token}, &.{});
-        s.pending = token;
-        if (s.recall) |r| r.noteHead(1); // a step lands one token: the bar a copy must beat
-        if (e.cfg.root_copies) s.root_copy_miss = false;
-        const piping = e.cfg.family_width >= 2 and (s.mode orelse .pipe) == .pipe and !s.finished and s.drafts;
-        if (piping and (try win.copyProposal(e, s)).tokens.len > 0)
-            s.mode = .drain; // a copy window is ahead: land the queued step
-        result.got = try e.arena.allocator().dupe(u32, s.emitted()[s.emitted().len - landed ..]);
-        try trail.pipe(e, s, before, result.got);
-        return result;
-    }
-
-    /// Land the queued token without queuing another (a shared round is synchronous).
-    fn landInflight(e: *Engine, s: *Stream) !void {
-        var current: Feed = .{ .handle = s.inflight.? };
-        s.inflight = null;
-        if (try e.forcedNext(s)) |t| current = .{ .value = t };
-        const token = try e.readFeed(current);
-        s.rounds += 1;
-        const landed = try s.commit(e.gpa, &.{token}, &.{});
-        s.pending = token;
-        s.mode = .verify;
-        try trail.event(e, &.{ f("ev", str("land")), f("stream", str(s.id)), f("got", .{ .u32s = s.emitted()[s.emitted().len - landed ..] }) });
-    }
-
     /// The first token's draw: among the grammar's allowed tokens when the stream has one that constrains it.
     pub fn drawFirst(e: *Engine, s: *Stream, position: u64) !u64 {
         const g = s.grammar orelse return e.backend.first(s, position);
diff --git a/zig/src/core/lanes/hold_price.zig b/zig/src/core/lanes/hold_price.zig
new file mode 100644
index 0000000000..c3eeb0208a
--- /dev/null
+++ b/zig/src/core/lanes/hold_price.zig
@@ -0,0 +1,84 @@
+//! A drafter's hold pass priced from its timed passes: by the blocks it holds and their depth.
+const std = @import("std");
+
+/// A drafter's hold pass of `streams` blocks, each `depth` drafts deep, in ms (timed at load).
+pub const HoldCost = struct { streams: u32, depth: u32, ms: f64 };
+
+/// A hold pass's ms: linear in depth at each timed stream count, then in streams (past the widest, by its slope).
+pub fn holdMs(costs: []const HoldCost, streams: usize, depth: i64) f64 {
+    var below: ?u32 = null;
+    var above: ?u32 = null;
+    for (costs) |c| {
+        if (c.streams <= streams and (below == null or c.streams > below.?)) below = c.streams;
+        if (c.streams >= streams and (above == null or c.streams < above.?)) above = c.streams;
+    }
+    const lo = below orelse above.?;
+    const hi = above orelse lo;
+    const at_lo = atDepth(costs, lo, depth);
+    if (hi == lo) {
+        if (above != null) return at_lo;
+        // past the widest timed count: the slope from the count below it
+        var under: ?u32 = null;
+        for (costs) |c| if (c.streams < lo and (under == null or c.streams > under.?)) {
+            under = c.streams;
+        };
+        const u = under orelse return at_lo * @as(f64, @floatFromInt(streams)) / @as(f64, @floatFromInt(lo));
+        const slope = (at_lo - atDepth(costs, u, depth)) / @as(f64, @floatFromInt(lo - u));
+        return at_lo + slope * @as(f64, @floatFromInt(streams - lo));
+    }
+    const t = @as(f64, @floatFromInt(streams - lo)) / @as(f64, @floatFromInt(hi - lo));
+    return at_lo + t * (atDepth(costs, hi, depth) - at_lo);
+}
+
+/// Interpolate neighboring depths, or extrapolate the nearest end segment (one alone: as timed).
+fn atDepth(costs: []const HoldCost, streams: u32, depth: i64) f64 {
+    var a: ?HoldCost = null;
+    var b: ?HoldCost = null;
+    for (costs) |c| {
+        if (c.streams != streams) continue;
+        if (c.depth == depth) return c.ms;
+        if (c.depth < depth and (a == null or c.depth > a.?.depth)) a = c;
+        if (c.depth > depth and (b == null or c.depth < b.?.depth)) b = c;
+    }
+    if (a == null) {
+        a = b.?;
+        b = null;
+        for (costs) |c| if (c.streams == streams and c.depth > a.?.depth and (b == null or c.depth < b.?.depth)) {
+            b = c;
+        };
+        if (b == null) return a.?.ms;
+    } else if (b == null) {
+        b = a.?;
+        a = null;
+        for (costs) |c| if (c.streams == streams and c.depth < b.?.depth and (a == null or c.depth > a.?.depth)) {
+            a = c;
+        };
+        if (a == null) return b.?.ms;
+    }
+    const x = a.?;
+    const y = b.?;
+    const t = (@as(f64, @floatFromInt(depth)) - @as(f64, @floatFromInt(x.depth))) / @as(f64, @floatFromInt(y.depth - x.depth));
+    return x.ms + t * (y.ms - x.ms);
+}
+
+test "hold prices retain measured kernel transitions and use the adjacent depth segment" {
+    const t = [_]HoldCost{
+        .{ .streams = 8, .depth = 4, .ms = 18 },
+        .{ .streams = 8, .depth = 1, .ms = 10 },
+        .{ .streams = 8, .depth = 2, .ms = 17 },
+    };
+    try std.testing.expectEqual(@as(f64, 17), holdMs(&t, 8, 2));
+    try std.testing.expectEqual(@as(f64, 17.5), holdMs(&t, 8, 3));
+    try std.testing.expectEqual(@as(f64, 18.5), holdMs(&t, 8, 5));
+    try std.testing.expectEqual(@as(f64, 3), holdMs(&t, 8, 0));
+}
+
+test "a hold's ms between and past the timed passes" {
+    const t = [_]HoldCost{ .{ .streams = 1, .depth = 1, .ms = 1.0 }, .{ .streams = 1, .depth = 4, .ms = 2.5 }, .{ .streams = 4, .depth = 1, .ms = 3.0 }, .{ .streams = 4, .depth = 4, .ms = 4.5 }, .{ .streams = 8, .depth = 1, .ms = 4.0 } };
+    try std.testing.expectApproxEqAbs(@as(f64, 1.0), holdMs(&t, 1, 1), 1e-12);
+    try std.testing.expectApproxEqAbs(@as(f64, 2.0), holdMs(&t, 1, 3), 1e-12); // linear in depth
+    try std.testing.expectApproxEqAbs(@as(f64, 3.0), holdMs(&t, 1, 5), 1e-12); // and past the deepest
+    try std.testing.expectApproxEqAbs(@as(f64, 1.0 + 2.0 / 3.0), holdMs(&t, 2, 1), 1e-12); // linear in streams
+    try std.testing.expectApproxEqAbs(@as(f64, 4.0), holdMs(&t, 8, 3), 1e-12); // one depth timed: as timed
+    try std.testing.expectApproxEqAbs(@as(f64, 5.0), holdMs(&t, 12, 1), 1e-12); // past the widest: the slope below it
+}
diff --git a/zig/src/core/lanes/lanes.zig b/zig/src/core/lanes/lanes.zig
index 280b16ef10..cc0271d636 100644
--- a/zig/src/core/lanes/lanes.zig
+++ b/zig/src/core/lanes/lanes.zig
@@ -18,6 +18,7 @@ pub const cost_rule = @import("cost_rule.zig");
 pub const gpu_rule = @import("gpu_rule.zig");
 pub const gpu_full = @import("gpu_full.zig");
 pub const depth = @import("depth.zig");
+pub const hold_price = @import("hold_price.zig");
 pub const mtp_policy = @import("mtp_policy.zig");
 pub const trim = @import("trim.zig");
 pub const config = @import("config.zig");
@@ -57,6 +58,8 @@ test {
     _ = @import("recorder_test.zig");
     _ = @import("gpu_full_test.zig");
     _ = @import("drafted_test.zig");
+    _ = @import("drafted_chances_test.zig");
+    _ = @import("drafted_copy_test.zig");
     _ = @import("root_copy_test.zig");
     _ = @import("drafted_grammar_test.zig");
     _ = @import("windows_grammar_test.zig");
diff --git a/zig/src/core/lanes/pipelined.zig b/zig/src/core/lanes/pipelined.zig
new file mode 100644
index 0000000000..99de33304b
--- /dev/null
+++ b/zig/src/core/lanes/pipelined.zig
@@ -0,0 +1,70 @@
+//! A lone stream's pipelined steps: the next forward queued before the last one's token is read.
+const be = @import("backend.zig");
+const sm = @import("stream.zig");
+const ev = @import("events.zig");
+const win = @import("windows.zig");
+const trail = @import("trail.zig");
+const Engine = @import("engine.zig").Engine;
+const Result = @import("engine.zig").Result;
+const Stream = sm.Stream;
+const Feed = be.Feed;
+const f = ev.f;
+const str = trail.str;
+
+/// One token, the next forward queued first; a copied continuation ahead switches to verify windows.
+pub fn round(e: *Engine, s: *Stream) !Result {
+    const before = s.mode;
+    // an adopted stream holds neither a mode nor a queued step: it starts where a drain step leaves one
+    const mode: sm.Mode = s.mode orelse if (s.inflight == null) .verify else .pipe;
+    var result: Result = .{ .rows = 1, .keep = 1, .got = &.{} };
+    if (mode == .verify or mode == .exit) {
+        const verifying = mode == .verify and e.cfg.family_width >= 2;
+        const proposal: win.Copy = if (verifying) try win.copyProposal(e, s) else .{};
+        if (proposal.tokens.len > 0) {
+            const copied = try e.arena.allocator().dupe(u32, proposal.tokens);
+            result = try e.familyRound(s, .{ .tokens = copied, .recalled = proposal.recalled });
+            if (result.keep == 1 or s.force.items.len > 0) s.mode = .exit;
+        } else {
+            // nothing to copy: back to steps queued ahead (this one lands next round)
+            s.mode = .pipe;
+            try e.queueNext(s, .{ .value = s.pending.? });
+        }
+        try trail.pipe(e, s, before, result.got);
+        return result;
+    }
+    var current: Feed = .{ .handle = s.inflight.? };
+    s.inflight = null;
+    if (try e.forcedNext(s)) |t| current = .{ .value = t };
+    var token: u32 = undefined;
+    if (mode == .drain) {
+        token = try e.readFeed(current); // the last queued step: no new one
+        s.mode = .verify;
+    } else {
+        try e.queueNext(s, current); // the GPU starts the next step first
+        token = try e.readFeed(current);
+    }
+    s.rounds += 1;
+    const landed = try s.commit(e.gpa, &.{token}, &.{});
+    s.pending = token;
+    if (s.recall) |r| r.noteHead(1); // a step lands one token: the bar a copy must beat
+    if (e.cfg.root_copies) s.root_copy_miss = false;
+    const piping = e.cfg.family_width >= 2 and (s.mode orelse .pipe) == .pipe and !s.finished and s.drafts;
+    if (piping and (try win.copyProposal(e, s)).tokens.len > 0)
+        s.mode = .drain; // a copy window is ahead: land the queued step
+    result.got = try e.arena.allocator().dupe(u32, s.emitted()[s.emitted().len - landed ..]);
+    try trail.pipe(e, s, before, result.got);
+    return result;
+}
+
+/// Land the queued token without queuing another (a shared round is synchronous).
+pub fn land(e: *Engine, s: *Stream) !void {
+    var current: Feed = .{ .handle = s.inflight.? };
+    s.inflight = null;
+    if (try e.forcedNext(s)) |t| current = .{ .value = t };
+    const token = try e.readFeed(current);
+    s.rounds += 1;
+    const landed = try s.commit(e.gpa, &.{token}, &.{});
+    s.pending = token;
+    s.mode = .verify;
+    try trail.event(e, &.{ f("ev", str("land")), f("stream", str(s.id)), f("got", .{ .u32s = s.emitted()[s.emitted().len - landed ..] }) });
+}
diff --git a/zig/src/core/lanes/stream.zig b/zig/src/core/lanes/stream.zig
index c3e22e7869..ff85c8a3e7 100644
--- a/zig/src/core/lanes/stream.zig
+++ b/zig/src/core/lanes/stream.zig
@@ -234,6 +234,8 @@ pub const Stream = struct {
     served: ?u64 = null,
     proposal_depth: ?u32 = null, // null: legacy; otherwise the last routed request, zero until it succeeds
     granted: ?u32 = null,
+    grant_short: bool = false, // the last grant verified fewer drafts than the stream held
+    grant_gain: ?f64 = null, // the drafts its last grant expected to keep (the chances it was priced by)
     copy_width: ?u32 = null,
 
     pub fn init(gpa: Allocator, spec: Spec) !Stream {
@@ -302,6 +304,8 @@ pub const Stream = struct {
         s.inflight = null;
         s.served = null;
         s.granted = null;
+        s.grant_short = false;
+        s.grant_gain = null;
         s.copy_width = null;
         s.proposal_depth = null;
     }
diff --git a/zig/src/core/lanes/windows.zig b/zig/src/core/lanes/windows.zig
index fd7ffec95d..c9e8e8ea2b 100644
--- a/zig/src/core/lanes/windows.zig
+++ b/zig/src/core/lanes/windows.zig
@@ -226,7 +226,7 @@ pub fn probe(e: *Engine) depth.Probe {
 }
 
 pub fn who(s: *Stream) depth.Who {
-    return .{ .state = &s.depth, .draft_room = s.draftRoom(), .finished = s.finished, .forced = s.force.items.len > 0, .granted = s.granted, .stream = s, .sampled = s.sampling != null };
+    return .{ .state = &s.depth, .draft_room = s.draftRoom(), .finished = s.finished, .forced = s.force.items.len > 0, .granted = s.granted, .grant_short = s.grant_short, .gain = s.grant_gain, .stream = s, .sampled = s.sampling != null };
 }
 
 /// Whether any of a round's streams draws keyed samples (its rows carry their host work).
@@ -282,8 +282,16 @@ pub fn allocate(e: *Engine, plans: []Plan) !void {
         const ms = own.get(1 + @as(i64, counts[0]));
         try trail.event(e, &.{ f("ev", trail.str("lone-price")), f("stream", trail.str(plans[0].stream.id)), f("rows", trail.int(counts[0] + 1)), f("expected", ev.bits(expected)), f("ms", if (ms) |value| ev.bits(value) else .null), f("probe", .{ .bool = trial != null }) });
     }
-    for (plans, counts) |*p, c| {
-        if (p.kind == .head) p.stream.granted = c;
+    for (plans, counts, probs) |*p, c, pr| {
+        if (p.kind == .head) {
+            p.stream.granted = c;
+            if (e.cfg.granted_depth) {
+                p.stream.grant_short = c < p.count();
+                var gain: f64 = 0;
+                for (pr[0..@min(c, pr.len)]) |chance| gain += chance;
+                p.stream.grant_gain = gain;
+            }
+        }
         if (p.kind == .forced or p.count() == 0 or c == p.count()) continue;
         try cut.prefix(a, p, c);
     }
@@ -393,7 +401,7 @@ fn planChances(e: *Engine, p: Plan, n: usize) ![]const f64 {
     if (!p.context_copy or p.branch_from == 0 or p.parents == null or n < p.branch_from) return nodeChances(e, p.stream, n);
     const drafts = p.branch_from - 1;
     const out = try e.arena.allocator().alloc(f64, n);
-    if (drafts > 0) @memcpy(out[0..drafts], try nodeChances(e, p.stream, drafts));
+    if (drafts > 0) try nodeChancesInto(e, p.stream, out[0..drafts]);
     const rate = copyRate(e, p.stream, p.copy_trusted);
     for (out[drafts..], p.parents.?[drafts..n]) |*o, parent| o.* = rate * (if (parent >= 0) out[@intCast(parent)] else 1);
     return out;
@@ -460,32 +468,36 @@ test "a copy is trusted after a long match, or out of the prompt early in the re
 
 /// The head's chance for each held draft, else chain chances from the stream's per-depth acceptance.
 pub fn nodeChances(e: *Engine, s: *Stream, n: usize) ![]const f64 {
-    const a = e.arena.allocator();
+    const out = try e.arena.allocator().alloc(f64, n);
+    try nodeChancesInto(e, s, out);
+    return out;
+}
+
+fn nodeChancesInto(e: *Engine, s: *Stream, out: []f64) !void {
     if (e.cfg.node_probabilities) {
         if (e.backend.vtable.probabilities) |chances| {
-            const out = try a.alloc(f64, n);
-            if (try chances(e.backend.ptr, s, out)) return out;
+            if (try chances(e.backend.ptr, s, out)) return;
         }
     }
     if (e.cfg.draft_confidence != null) return error.NoDraftProbabilities;
-    return alloc.chainProbabilities(a, try e.rule.rates(who(s)), n);
+    alloc.chainProbabilitiesInto(try e.rule.rates(who(s)), out);
 }
 
 /// Structured output: the rows an accepted path can use, each row's bits, and the grammar's drafts after a lone chain.
 pub fn constrain(e: *Engine, p: *Plan) !void {
     const g = p.stream.grammar orelse return;
     const a = e.arena.allocator();
-    if (p.held > 0) {
-        // the held drafts (a chain or a tree, in window order) come back as host tokens, grafts after them
+    const held_count = p.held;
+    const rows = try a.alloc(u32, 1 + held_count + p.tokens.len);
+    rows[0] = p.stream.pending.?;
+    @memcpy(rows[1 + held_count ..], p.tokens);
+    if (held_count > 0) {
+        // Read held drafts directly into their final rows, followed by any grafts.
         const read = e.backend.vtable.held orelse return error.HeldDraftsUnreadable;
-        const held = try a.alloc(u32, p.held);
-        try read(e.backend.ptr, p.stream, held);
-        p.tokens = try std.mem.concat(a, u32, &.{ held, p.tokens });
+        try read(e.backend.ptr, p.stream, rows[1 .. 1 + held_count]);
+        p.tokens = rows[1..];
         p.held = 0;
     }
-    const rows = try a.alloc(u32, 1 + p.tokens.len);
-    rows[0] = p.stream.pending.?;
-    @memcpy(rows[1..], p.tokens);
     const grows = p.stream.drafts and p.kind != .forced and e.alone;
     const room = if (grows) @max(rows.len, e.cfg.family_width) else rows.len;
     const w = try g.window(a, rows, try accept.rowParents(a, rows.len, p.parents), p.kind == .forced, room);
@@ -540,3 +552,7 @@ pub fn tokens(e: *Engine, w: be.Window, o: be.Verified) ![]u32 {
     @memcpy(out[1 + w.held ..], w.tokens);
     return out;
 }
+
+test "declined and grafted probabilities need only their final round buffer" {
+    try @import("windows_memory_test.zig").check(nodeChances, planChances);
+}
diff --git a/zig/src/core/lanes/windows_grammar_test.zig b/zig/src/core/lanes/windows_grammar_test.zig
index fee374c63b..c90ce91b61 100644
--- a/zig/src/core/lanes/windows_grammar_test.zig
+++ b/zig/src/core/lanes/windows_grammar_test.zig
@@ -93,3 +93,38 @@ test "a tree shaped as a chain takes the grammar's own drafts as chain rows, and
         try std.testing.expectEqual(@as(usize, 0), g.at);
     }
 }
+
+test "held drafts and grafts keep row order through grammar trimming" {
+    var cfg = try et.model();
+    defer cfg.deinit(gpa);
+    var target: fake.Fake = .{ .gpa = gpa };
+    defer target.deinit();
+    var backend = target.backend();
+    var vtable = backend.vtable.*;
+    vtable.held = struct {
+        fn read(_: *anyopaque, _: *sm.Stream, out: []u32) !void {
+            try std.testing.expectEqual(@as(usize, 2), out.len);
+            @memcpy(out, &[_]u32{ 5, 7 });
+        }
+    }.read;
+    backend.vtable = &vtable;
+    var clock: fake.FixedClock = .{};
+    var engine = Engine.init(gpa, &cfg, backend, clock.clock());
+    defer engine.deinit();
+    for ([_]u32{ 9, 4 }) |graft| {
+        var g: Spell = .{ .want = &.{ 5, 7, 9 } };
+        var k: grammar.Constraint = .init(g.rules(), (fake.vocab + 31) / 32, null);
+        var s = try sm.Stream.init(gpa, .{ .id = "held", .prompt = &.{ 1, 2 }, .max_new = 8, .drafts = false, .grammar = &k });
+        defer s.deinit(gpa);
+        s.pending = 3;
+        const tokens = [_]u32{graft};
+        var p: win.Plan = .{ .stream = &s, .position = 2, .kind = .head, .held = 2, .tokens = &tokens };
+        try win.constrain(&engine, &p);
+        try std.testing.expectEqual(@as(u32, 0), p.held);
+        const expected: []const u32 = &.{ 5, 7, 9 };
+        try std.testing.expectEqual(@as(u32, if (graft == 9) 0 else 3), p.grammar_from);
+        try std.testing.expectEqualSlices(u32, expected, p.tokens);
+        const w = try win.build(&engine, p, false);
+        try std.testing.expectEqualSlices(u32, expected, w.tokens);
+    }
+}
diff --git a/zig/src/core/lanes/windows_memory_test.zig b/zig/src/core/lanes/windows_memory_test.zig
new file mode 100644
index 0000000000..db08abf447
--- /dev/null
+++ b/zig/src/core/lanes/windows_memory_test.zig
@@ -0,0 +1,50 @@
+//! Probability planning must fit its final output into a bounded round arena.
+const std = @import("std");
+const Engine = @import("engine.zig").Engine;
+const Stream = @import("stream.zig").Stream;
+const win = @import("windows.zig");
+
+pub fn check(comptime node: anytype, comptime hybrid: anytype) !void {
+    const a = std.testing.allocator;
+    var cfg = try @import("config.zig").Config.init(a, .{ .exact_width = 16, .drafts = 3, .mtp = true, .speculate = true, .draft_probabilities = true, .draft_prior = &.{ 0.8, 0.5 } }, 16, 3);
+    defer cfg.deinit(a);
+    var target: @import("fake.zig").Fake = .{ .gpa = a };
+    defer target.deinit();
+    var clock: @import("fake.zig").FixedClock = .{};
+    var backend = target.backend();
+    var vtable = backend.vtable.*;
+    vtable.probabilities = struct {
+        fn decline(_: *anyopaque, _: *Stream, out: []f64) !bool {
+            @memset(out, 99);
+            return false;
+        }
+    }.decline;
+    backend.vtable = &vtable;
+    var limited = std.testing.FailingAllocator.init(a, .{});
+    var e = Engine.init(a, &cfg, backend, clock.clock());
+    defer e.deinit();
+    var s = try Stream.init(a, .{ .id = "bounded", .prompt = &.{ 1, 2 }, .max_new = 64 });
+    defer s.deinit(a);
+    _ = try e.rule.rates(win.who(&s));
+    // The round gets only enough arena space for its final probability buffer.
+    e.arena.deinit();
+    e.arena = std.heap.ArenaAllocator.init(limited.allocator());
+    _ = try e.arena.allocator().alloc(f64, 32);
+    const capacity = e.arena.queryCapacity();
+    limited.fail_index = limited.alloc_index;
+    limited.resize_fail_index = limited.resize_index;
+    for (0..2) |mode| {
+        try std.testing.expect(e.arena.reset(.retain_capacity));
+        _ = try e.arena.allocator().alloc(u8, capacity - 16 * @sizeOf(f64));
+        var parents: [16]i32 = undefined;
+        @memset(&parents, 0);
+        parents[0] = -1;
+        const p: win.Plan = .{ .stream = &s, .position = 2, .kind = .head, .tokens = &.{}, .parents = &parents, .branch_from = 4, .context_copy = true, .copy_trusted = false };
+        const out = if (mode == 0) try node(&e, &s, 16) else try hybrid(&e, p, 16);
+        try std.testing.expectApproxEqAbs(@as(f64, 0.8), out[0], 1e-12);
+        try std.testing.expectApproxEqAbs(@as(f64, 0.4), out[1], 1e-12);
+        try std.testing.expectApproxEqAbs(@as(f64, 0.2), out[2], 1e-12);
+        if (mode == 1) try std.testing.expectApproxEqAbs(@as(f64, 0.064), out[3], 1e-12);
+    }
+    try std.testing.expect(!limited.has_induced_failure);
+}
diff --git a/zig/src/core/tile_qmm.zig b/zig/src/core/tile_qmm.zig
index 030bd097e1..dbc0da8b68 100644
--- a/zig/src/core/tile_qmm.zig
+++ b/zig/src/core/tile_qmm.zig
@@ -167,10 +167,26 @@ pub fn encodeTwin(
     y: mtl.Buffer,
     y_off: usize,
     rows: usize,
+) !void {
+    // the window kernel only for matrices of window_n outputs or more
+    return encodeTwinFrom(e, p, m, x, x_off, y, y_off, rows, if (m.n >= window_n) window_rows else twin_rows + 1);
+}
+
+/// encodeTwin with the window kernel from `from` rows on (the scalar twin below them), for a caller's measured cut.
+pub fn encodeTwinFrom(
+    e: mtl.ComputeEncoder,
+    p: *const Pipelines,
+    m: Matrix,
+    x: mtl.Buffer,
+    x_off: usize,
+    y: mtl.Buffer,
+    y_off: usize,
+    rows: usize,
+    from: usize,
 ) !void {
     const i = try width(m);
     if (rows == 0 or rows > twin_rows) return error.NoRows;
-    const window = rows >= window_rows and m.n >= window_n;
+    const window = rows >= from;
     e.setPipeline(if (window) p.rows[i] else if (rows > 1) p.twin_few[i] else p.twin[i]);
     bind(e, m, .{ .k = @intCast(m.k), .n = @intCast(m.n), .r = @intCast(rows) }, x, x_off, y, y_off);
     if (window) return e.dispatchGroups(.{ .width = m.n / window_columns }, .{ .width = 64 });
diff --git a/zig/src/families/lfm2_moe/backend.zig b/zig/src/families/lfm2_moe/backend.zig
index d713c9ec24..2e5130db84 100644
--- a/zig/src/families/lfm2_moe/backend.zig
+++ b/zig/src/families/lfm2_moe/backend.zig
@@ -10,6 +10,14 @@ const snapshot = @import("snapshot.zig");
 const Model = @import("model.zig").Model;
 const be = lanes.backend;
 
+/// Where a drafter holds a stream's drafts on the device, for verify windows that take them there (Window.held).
+pub const HeldSource = struct {
+    ptr: *anyopaque,
+    get: *const fn (ptr: *anyopaque, s: *lanes.Stream) ?Device,
+    host: *const fn (ptr: *anyopaque, s: *lanes.Stream, out: []u32) anyerror!void, // where `get` gives none
+};
+pub const Device = struct { src: mtl.Buffer, off: usize, stride: u32, wait: fwd.Wait };
+
 pub const Options = struct { capacity: usize, chunk: usize = 128, streams: u32 = 8 };
 
 pub const Metal = struct {
@@ -23,6 +31,13 @@ pub const Metal = struct {
     /// Forward ms by window width, timed at load: the lane core weighs drafts against them.
     costs: [st.window_rows]lanes.config.Cost = undefined,
     timed: usize = 0,
+    /// Shared-row increments past the qualified window, anchored at that window's measured cost.
+    shared: [st.batch_rows - st.window_rows]lanes.config.Cost = undefined,
+    shared_timed: usize = 0,
+    /// Forwards run so far: a stream's tapped rows in the scratch are current while their gen matches.
+    gen: u64 = 0,
+    /// A drafter whose drafts verify windows read on the device (null: windows carry host tokens only).
+    held_source: ?HeldSource = null,
 
     pub fn init(gpa: std.mem.Allocator, model: *Model, options: Options) !*Metal {
         const out = try gpa.create(Metal);
@@ -54,7 +69,9 @@ pub const Metal = struct {
     }
 
     pub fn facts(self: *const Metal) lanes.Model {
-        return factsFor(self.width, self.options.streams, self.costs[0..self.timed]);
+        var out = factsFor(self.width, self.options.streams, self.costs[0..self.timed]);
+        out.shared_costs = self.shared[0..self.shared_timed];
+        return out;
     }
 
     /// Each window width's forward ms on a 256-token history (the fastest of three, after the GPU's clocks ramp up).
@@ -84,11 +101,37 @@ pub const Metal = struct {
             cost.* = .{ .width = @intCast(w), .ms = best };
         }
         std.log.info("LFM2 window ms by width: 1 {d:.1}, 2 {d:.1}, 4 {d:.1}, 8 {d:.1}, 16 {d:.1}", .{ self.costs[0].ms, self.costs[1].ms, self.costs[3].ms, self.costs[7].ms, self.costs[15].ms });
+        // Two qualified windows measure shared-row increments against the same shared shape at 16 rows.
+        var other = try st.Cache.init(self.gpa, self.model.device, &self.model.config.attention, 512);
+        defer other.deinit();
+        try fwd.run(self.model, &self.scratch, &.{.{ .cache = &other, .rows = 256 }}, &ids, false, .last);
+        var shared_base: f64 = 0;
+        for (st.window_rows..st.batch_rows + 1) |rows| {
+            const first = @min(st.window_rows, rows - 1);
+            var best: f64 = std.math.floatMax(f64);
+            for (0..4) |trial| {
+                var t0: platform.c.timespec = undefined;
+                var t1: platform.c.timespec = undefined;
+                _ = platform.c.clock_gettime(platform.c.CLOCK.MONOTONIC, &t0);
+                try fwd.run(self.model, &self.scratch, &.{ .{ .cache = &cache, .rows = first }, .{ .cache = &other, .rows = rows - first } }, ids[0..rows], true, .all);
+                _ = platform.c.clock_gettime(platform.c.CLOCK.MONOTONIC, &t1);
+                const ms = @as(f64, @floatFromInt(t1.sec - t0.sec)) * 1e3 + @as(f64, @floatFromInt(t1.nsec - t0.nsec)) / 1e6;
+                cache.len = base;
+                other.len = base;
+                if (trial > 0) best = @min(best, ms);
+            }
+            if (rows == st.window_rows) {
+                shared_base = best;
+            } else self.shared[rows - st.window_rows - 1] = .{ .width = @intCast(rows), .ms = self.costs[st.window_rows - 1].ms + best - shared_base };
+        }
+        self.shared_timed = self.shared.len;
+        std.log.info("LFM2 shared calibration: window16 {d:.2} ms, shared16 {d:.2} ms", .{ self.costs[st.window_rows - 1].ms, shared_base });
+        std.log.info("LFM2 shared marginal prices by rows: 17 {d:.1}, 24 {d:.1}, 32 {d:.1}", .{ self.shared[0].ms, self.shared[7].ms, self.shared[15].ms });
         return self.costs.len;
     }
 
     pub fn backend(self: *Metal) be.Backend {
-        return .{ .ptr = self, .vtable = &.{ .prefill = prefillFn, .first = firstFn, .first_masked = firstMaskedFn, .queue = queueFn, .read = readFn, .verify = verifyFn, .keep = keepFn, .draft = draftFn, .release = releaseFn } };
+        return .{ .ptr = self, .vtable = &.{ .prefill = prefillFn, .prepare_features = prepareFn, .features = featuresFn, .prefill_features = prefillFeaturesFn, .first = firstFn, .first_masked = firstMaskedFn, .queue = queueFn, .read = readFn, .verify = verifyFn, .keep = keepFn, .draft = draftFn, .release = releaseFn } };
     }
 
     fn cast(ptr: *anyopaque) *Metal {
@@ -107,8 +150,65 @@ pub const Metal = struct {
         return cache;
     }
 
+    /// One forward on the scratch; a stream's tapped rows from earlier forwards are stale after it.
+    fn run(self: *Metal, segments: []const fwd.Segment, tokens: []const u32, record: bool, head: fwd.Head) !void {
+        self.gen += 1;
+        try fwd.run(self.model, &self.scratch, segments, tokens, record, head);
+    }
+
     fn prefillFn(ptr: *anyopaque, stream: *lanes.Stream) !void {
+        return cast(ptr).prefillWith(stream, null);
+    }
+
+    /// The prompt pass, `sink` taking each chunk's tapped rows before the chunk's end is kept for reuse.
+    fn prefillFeaturesFn(ptr: *anyopaque, stream: *lanes.Stream, layers: []const u32, sink: be.FeatureSink) !void {
+        const self = cast(ptr);
+        const t = self.scratch.taps orelse return error.UnpreparedLfmTaps;
+        if (layers.len != t.count) return error.UnpreparedLfmTaps;
+        return self.prefillWith(stream, sink);
+    }
+
+    /// A tapped row's bytes: every tap's hidden row, bf16.
+    fn tapBytes(self: *const Metal) usize {
+        return if (self.scratch.taps) |t| t.count * c.hidden * 2 else 0;
+    }
+
+    /// The drafter's layers: every forward from now on keeps their outputs for each row.
+    fn prepareFn(ptr: *anyopaque, layers: []const u32) !void {
         const self = cast(ptr);
+        if (layers.len == 0 or layers.len > st.max_taps) return error.BadLfmTaps;
+        for (layers) |l| if (l >= c.layers) return error.BadLfmTaps;
+        if (self.scratch.taps) |t| return if (std.mem.eql(u32, t.layers[0..t.count], layers)) {} else error.BadLfmTaps;
+        var t: st.Taps = .{ .count = @intCast(layers.len), .buf = undefined };
+        @memcpy(t.layers[0..layers.len], layers);
+        t.buf = try self.scratch.memory.alloc(self.scratch.rows * layers.len * c.hidden * 2);
+        self.scratch.taps = t;
+    }
+
+    /// Cache rows [start, start + count) of the stream's latest tapped rows, on the device.
+    fn featuresFn(ptr: *anyopaque, stream: *lanes.Stream, layers: []const u32, start: u64, count: u32) !be.Features {
+        const self = cast(ptr);
+        const t = self.scratch.taps orelse return error.UnpreparedLfmTaps;
+        if (layers.len != t.count) return error.UnpreparedLfmTaps;
+        const cache = try self.cacheOf(stream);
+        const held = cache.tap orelse return error.LfmTapsNotHeld;
+        if (count == 0 or start < held.start or start + count > held.start + held.rows) return error.LfmTapsNotHeld;
+        const width = self.tapBytes();
+        const buf = if (held.gen == 0) cache.last_tap.? else if (held.gen == self.gen) t.buf else return error.StaleLfmTaps;
+        const row = held.row + @as(usize, @intCast(start - held.start));
+        return .{ .buffer = @intFromPtr(buf.id), .offset = row * width, .rows = count, .row_bytes = @intCast(width), .space = .device, .dtype = .bf16 };
+    }
+
+    /// The prompt's last row's taps, copied beside the stream's caches for its first draft (gen 0: kept there).
+    fn keepLastTap(self: *Metal, cache: *st.Cache, row: usize, position: usize) !void {
+        const width = self.tapBytes();
+        if (width == 0) return;
+        if (cache.last_tap == null) cache.last_tap = try cache.memory.alloc(width);
+        @memcpy(cache.last_tap.?.contents()[0..width], (self.scratch.taps.?.buf.contents() + row * width)[0..width]);
+        cache.tap = .{ .start = position, .row = 0, .rows = 1, .gen = 0 };
+    }
+
+    fn prefillWith(self: *Metal, stream: *lanes.Stream, sink: ?be.FeatureSink) !void {
         const ids = stream.prompt();
         if (ids.len == 0 or ids.len + stream.max_new > self.options.capacity or self.caches.contains(stream)) return error.InvalidLfmPrompt;
         const capacity = @min(self.options.capacity, ids.len + stream.max_new + st.window_rows);
@@ -121,7 +221,9 @@ pub const Metal = struct {
         stream.cached = 0;
         if (stream.reuse.saved) |saved| { // a kept state of this prompt's prefix: the pass starts there
             const snap: *snapshot.Snap = @ptrCast(@alignCast(saved));
-            if (snap.at < ids.len) if (snapshot.restore(cache, snap)) |_| {
+            // a drafting stream resumes only a state kept with its drafter's context
+            const drafter_less = sink != null and snap.draft == null;
+            if (snap.at < ids.len and !drafter_less) if (snapshot.restore(cache, snap)) |_| {
                 at = snap.at;
             } else |_| {};
             stream.cached = @intCast(at);
@@ -136,7 +238,13 @@ pub const Metal = struct {
             };
             while (mark < stream.reuse.marks.len and stream.reuse.marks[mark] <= at) mark += 1;
             if (mark < stream.reuse.marks.len) end = @min(end, stream.reuse.marks[mark]);
-            try fwd.run(self.model, &self.scratch, &.{.{ .cache = cache, .rows = end - at }}, ids[at..end], false, .last);
+            try self.run(&.{.{ .cache = cache, .rows = end - at }}, ids[at..end], false, .last);
+            if (sink) |k| {
+                const width = self.tapBytes();
+                const f: be.Features = .{ .buffer = @intFromPtr(self.scratch.taps.?.buf.id), .rows = @intCast(end - at), .row_bytes = @intCast(width), .space = .device, .dtype = .bf16 };
+                try k.take(k.ptr, stream, f, at);
+                if (end == ids.len) try self.keepLastTap(cache, end - 1 - at, end - 1);
+            }
             at = end;
             if (stream.reuse.hook) |hk| if (std.mem.indexOfScalar(u32, stream.reuse.marks, @intCast(at)) != null)
                 hk.at(hk.ptr, stream, @intCast(at));
@@ -165,7 +273,8 @@ pub const Metal = struct {
             .value => |v| v,
             .handle => |h| @intCast(h),
         };
-        try fwd.run(self.model, &self.scratch, &.{.{ .cache = cache, .rows = 1 }}, &.{token}, false, .all);
+        try self.run(&.{.{ .cache = cache, .rows = 1 }}, &.{token}, false, .all);
+        if (self.scratch.taps != null) cache.tap = .{ .start = cache.len - 1, .row = 0, .rows = 1, .gen = self.gen };
         return try draw(self.gpa, cache.logits.slice(u16, c.vocab), stream.sampling, position, &.{});
     }
 
@@ -178,25 +287,43 @@ pub const Metal = struct {
         const self = cast(ptr);
         var segments: [st.batch_rows]fwd.Segment = undefined;
         var ids: [st.batch_rows]u32 = undefined;
+        var held: [st.batch_rows]fwd.Held = undefined;
+        var count: usize = 0;
+        var wait: ?fwd.Wait = null;
         var total: usize = 0;
         if (windows.len > segments.len or windows.len != out.len) return error.InvalidLfmWindows;
         for (windows, 0..) |w, i| {
             const rows = w.rows();
-            if (w.parents != null or w.held != 0 or rows > st.window_rows or total + rows > st.batch_rows or w.positions.len != rows) return error.UnsupportedLfmWindow;
+            if (w.held != 0) { // the drafter's picks, copied into the window's rows on the GPU
+                const source = self.held_source orelse return error.UnsupportedLfmWindow;
+                if (total + rows > st.batch_rows) return error.UnsupportedLfmWindow;
+                if (source.get(source.ptr, w.stream)) |dev| {
+                    held[count] = .{ .row = total + 1, .src = dev.src, .off = dev.off, .stride = dev.stride, .count = w.held };
+                    count += 1;
+                    wait = if (wait) |x| (if (x.value >= dev.wait.value) x else dev.wait) else dev.wait;
+                    @memset(ids[total + 1 ..][0..w.held], 0);
+                } else try source.host(source.ptr, w.stream, ids[total + 1 ..][0..w.held]);
+            }
+            if (w.parents != null or rows > st.window_rows or total + rows > st.batch_rows or w.positions.len != rows) return error.UnsupportedLfmWindow;
             if (w.masks.len != 0 and w.masks.len != rows * mask_words) return error.InvalidLfmMasks;
             const cache = try self.cacheOf(w.stream);
             for (w.positions, 0..) |p, r| if (p != cache.len + r + 1) return error.InvalidLfmPosition;
             segments[i] = .{ .cache = cache, .rows = rows };
             ids[total] = w.pending;
-            @memcpy(ids[total + 1 ..][0..w.tokens.len], w.tokens);
+            @memcpy(ids[total + 1 + w.held ..][0..w.tokens.len], w.tokens);
             total += rows;
         }
-        try fwd.run(self.model, &self.scratch, segments[0..windows.len], ids[0..total], true, .all);
+        self.gen += 1;
+        try fwd.runHeld(self.model, &self.scratch, segments[0..windows.len], ids[0..total], true, .all, held[0..count], wait);
+        if (self.scratch.taps != null) for (segments[0..windows.len]) |seg| {
+            const last = seg.cache.last.?;
+            seg.cache.tap = .{ .start = last.start, .row = last.base, .rows = last.rows, .gen = self.gen };
+        };
         const logits = self.scratch.logits.slice(u16, total * c.vocab);
         const best = self.scratch.best.slice(u32, 2 * total);
         var base: usize = 0;
         for (windows, out) |w, o| {
-            if (o.sampled.len != w.rows() or o.drafts.len != w.tokens.len) return error.InvalidLfmOutputs;
+            if (o.sampled.len != w.rows() or o.drafts.len != w.rows() - 1) return error.InvalidLfmOutputs;
             for (o.sampled, w.positions, 0..) |*t, p, r| {
                 const mask = if (w.masks.len > 0) w.masks[r * mask_words ..][0..mask_words] else &.{};
                 // A greedy row takes the GPU's pick, the host's draw on the same logits; a nonfinite row errors there.
@@ -207,7 +334,7 @@ pub const Metal = struct {
                 }
                 t.* = try draw(self.gpa, logits[(base + r) * c.vocab ..][0..c.vocab], w.stream.sampling, p, mask);
             }
-            @memcpy(o.drafts, w.tokens);
+            @memcpy(o.drafts, self.scratch.ids.slice(u32, base + w.rows())[base + 1 ..][0 .. w.rows() - 1]);
             base += w.rows();
         }
     }
@@ -381,3 +508,15 @@ test "a masked draw is the full-vocabulary draw with the other tokens at -inf" {
     @memset(&mask, 0);
     try std.testing.expectError(error.NoAllowedLfmToken, draw(gpa, words, null, 0, &mask));
 }
+
+test "measured shared rows price the batch without widening a stream's qualified window" {
+    var backend_: Metal = .{ .gpa = std.testing.allocator, .model = undefined, .options = .{ .capacity = 512 }, .scratch = undefined, .width = st.window_rows, .timed = 1, .shared_timed = 1 };
+    backend_.costs[0] = .{ .width = 1, .ms = 2 };
+    backend_.shared[0] = .{ .width = 17, .ms = 9 };
+    var cfg = try lanes.Config.init(std.testing.allocator, backend_.facts(), st.window_rows, st.window_rows - 1);
+    defer cfg.deinit(std.testing.allocator);
+    try std.testing.expectEqual(@as(u32, st.window_rows), cfg.family_width);
+    try std.testing.expectEqual(@as(?f64, 2), cfg.family_costs.get(1));
+    try std.testing.expectEqual(@as(?f64, null), cfg.family_costs.get(17));
+    try std.testing.expectEqual(@as(?f64, 9), cfg.shared_costs.get(17));
+}
diff --git a/zig/src/families/lfm2_moe/dspark.zig b/zig/src/families/lfm2_moe/dspark.zig
new file mode 100644
index 0000000000..df55a38e9a
--- /dev/null
+++ b/zig/src/families/lfm2_moe/dspark.zig
@@ -0,0 +1,578 @@
+//! LiquidAI's DSpark drafter on LFM2's taps: a stream's context keys, a block of rows, a Markov chain of drafts.
+const std = @import("std");
+const mtl = @import("metal");
+const lanes = @import("lanes");
+const c = @import("config.zig");
+const dc = @import("dspark_config.zig");
+const dw = @import("dspark_weights.zig");
+const block = @import("dspark_block.zig");
+const st = @import("state.zig");
+const snapshot = @import("snapshot.zig");
+const Model = @import("model.zig").Model;
+const backend = @import("backend.zig");
+
+const dr = lanes.drafter;
+const Stream = lanes.Stream;
+const shared = mtl.ResourceOptions.shared | mtl.ResourceOptions.untracked;
+
+/// Block rows one hold pass takes (the decode twin's rows), and context rows one absorb pass takes.
+pub const pass_rows = 32;
+pub const absorb_rows = 2048;
+/// Verified rows a lane keeps on the host until its next hold absorbs them (a round's rows for no GPU work).
+pub const stage_rows = 128;
+/// The block counts timed at load, at every depth that fits one pass and the checkpoint's block.
+const hold_grid = [_]u32{ 1, 2, 4, 8, 16 };
+const kw = c.kv_heads * c.head_dim;
+
+/// `bits`: 0 runs the bf16 matrices as stored, 8 quantizes them at load.
+pub const Options = struct { capacity: usize, bits: u8 = 0 };
+
+/// One stream's context keys and values a layer ([kv head][cap][head dim], as the target's attention reads them).
+pub const Lane = struct {
+    mem: mtl.Buffer, // each layer's keys then values, then the staged rows (shared storage)
+    cap: usize, // positions each holds: the context and one block past it
+    stage_at: usize, // the staged rows' byte offset in `mem`
+    end: u64 = 0, // context rows absorbed: positions [0, end)
+    staged: u32 = 0, // tapped rows [end, end + staged), not absorbed yet
+    held: [16]u32 = @splat(0),
+    held_len: u32 = 0,
+    conf: [16]f32 = @splat(0), // each held draft's chance given the drafts before it landed (the confidence head)
+    conf_len: u32 = 0, // the drafts `conf` covers: the last settled hold's depth
+    slot: ?u32 = null, // its block's place in the last signalled hold, whose picks still hold its drafts
+
+    /// Layer `layer`'s keys, or its values when `values`, in `mem`.
+    pub fn kv(l: *const Lane, layer: usize, values: bool) block.Ref {
+        return .{ .buf = l.mem, .off = (2 * layer + @intFromBool(values)) * l.cap * kw * 2 };
+    }
+};
+
+/// The passes' working buffers, one pass at a time on the target's queue.
+pub const Scratch = struct {
+    ids: mtl.Buffer,
+    h: mtl.Buffer,
+    x: mtl.Buffer,
+    r: mtl.Buffer,
+    y: mtl.Buffer,
+    q: mtl.Buffer,
+    k: mtl.Buffer,
+    v: mtl.Buffer,
+    queries: mtl.Buffer,
+    pm: mtl.Buffer,
+    pl: mtl.Buffer,
+    po: mtl.Buffer,
+    gate: mtl.Buffer,
+    up: mtl.Buffer,
+    act: mtl.Buffer,
+    logits: mtl.Buffer,
+    sums: mtl.Buffer,
+    fcx: mtl.Buffer, // an absorb pass's context rows: fc's output, normed in place
+    dump: mtl.Buffer, // the query heads lfm2_qk rotates from context rows, which no one reads
+    best: mtl.Buffer, // the Markov scan's best score and token of each threadgroup, by stream
+    at: mtl.Buffer,
+    picks: mtl.Buffer,
+    conf: mtl.Buffer, // the confidence logits, step by step, a pass's blocks each
+};
+
+pub const Drafter = struct {
+    gpa: std.mem.Allocator,
+    io: std.Io,
+    target: *Model,
+    config: dc.Config,
+    w: dw.Weights,
+    options: Options,
+    s: Scratch,
+    owned: std.ArrayList(mtl.Buffer) = .empty,
+    lanes: std.AutoHashMapUnmanaged(*Stream, *Lane) = .empty,
+    /// One stream's hold wall ms at full depth, and that over the block (the depth rule's cost a draft).
+    hold_ms: f64 = 0,
+    step_ms: f64 = 0,
+    holds: [2 * pass_rows]lanes.hold_price.HoldCost = undefined, // the power-of-two block counts sum to fewer than 2 * pass_rows depths
+    holds_len: usize = 0,
+    event: mtl.Event = undefined,
+    signalled: u64 = 0,
+    pending: ?mtl.CommandBuffer = null,
+    pass: [pass_rows]*Lane = undefined, // the signalled hold's lanes and depths, in its blocks' order
+    depths: [pass_rows]u32 = undefined,
+    pass_len: usize = 0,
+
+    pub fn init(gpa: std.mem.Allocator, io: std.Io, target: *Model, dir: []const u8, options: Options) !*Drafter {
+        const d = try gpa.create(Drafter);
+        errdefer gpa.destroy(d);
+        d.* = .{ .gpa = gpa, .io = io, .target = target, .config = try dc.Config.read(gpa, io, dir), .w = undefined, .options = options, .s = undefined };
+        d.event = try target.device.event();
+        errdefer d.event.deinit();
+        d.w = try dw.load(gpa, target.device, io, dir, &d.config, options.bits);
+        errdefer d.w.deinit(gpa);
+        try d.prepare();
+        return d;
+    }
+
+    fn prepare(d: *Drafter) !void {
+        errdefer {
+            for (d.owned.items) |b| b.deinit();
+            d.owned.deinit(d.gpa);
+        }
+        try d.scratch();
+        try d.warm();
+    }
+
+    pub fn deinit(d: *Drafter) void {
+        d.settle() catch {};
+        d.event.deinit();
+        var it = d.lanes.valueIterator();
+        while (it.next()) |l| d.dropLane(l.*);
+        d.lanes.deinit(d.gpa);
+        for (d.owned.items) |b| b.deinit();
+        d.owned.deinit(d.gpa);
+        d.w.deinit(d.gpa);
+        d.gpa.destroy(d);
+    }
+
+    fn buffer(d: *Drafter, bytes: usize) !mtl.Buffer {
+        const b = try d.target.device.buffer(@max(bytes, 16), shared);
+        errdefer b.deinit();
+        try d.owned.append(d.gpa, b);
+        return b;
+    }
+
+    fn scratch(d: *Drafter) !void {
+        const r = pass_rows;
+        const wide = @max(pass_rows, absorb_rows);
+        const i = d.config.intermediate;
+        const partials = d.partRows() * st.subs * c.query_heads * st.chunks;
+        const sums = @max(absorb_rows * (d.config.tap_count * c.hidden / 64), r * (i / 64));
+        d.s = .{
+            .ids = try d.buffer(r * 4),
+            .h = try d.buffer(r * c.hidden * 2),
+            .x = try d.buffer(r * c.hidden * 2),
+            .r = try d.buffer(r * c.hidden * 2),
+            .y = try d.buffer(r * c.hidden * 2),
+            .q = try d.buffer(r * c.hidden * 2),
+            .k = try d.buffer(wide * kw * 2),
+            .v = try d.buffer(wide * kw * 2),
+            .queries = try d.buffer((r + st.attn_rows) * c.hidden * 2),
+            .pm = try d.buffer(partials * 4),
+            .pl = try d.buffer(partials * 4),
+            .po = try d.buffer(partials * c.head_dim * 4),
+            .gate = try d.buffer(r * i * 2),
+            .up = try d.buffer(r * i * 2),
+            .act = try d.buffer(r * i * 2),
+            .logits = try d.buffer(r * c.vocab * 2),
+            .sums = try d.buffer(sums * 4),
+            .fcx = try d.buffer(absorb_rows * c.hidden * 2),
+            .dump = try d.buffer(absorb_rows * c.hidden * 2),
+            .best = try d.buffer(r * block.scan_groups * 4),
+            .at = try d.buffer(r * block.scan_groups * 4),
+            .picks = try d.buffer(d.config.block * r * 8),
+            .conf = try d.buffer(d.config.block * r * 4),
+        };
+    }
+
+    /// Query rows the attention partials hold at once: a whole hold pass's, so its blocks attend side by side.
+    pub fn partRows(d: *const Drafter) usize {
+        return @max(pass_rows, d.config.block);
+    }
+
+    /// The drafter's buffers that every round reads (weights and scratch), for the server's residency set.
+    pub fn buffers(d: *const Drafter, gpa: std.mem.Allocator) ![]mtl.Buffer {
+        return std.mem.concat(gpa, mtl.Buffer, &.{ d.w.buffers(), d.owned.items });
+    }
+
+    pub fn drafter(d: *Drafter) dr.Drafter {
+        return .{ .ptr = d, .vtable = &.{ .taps = tapsFn, .facts = factsFn, .open = openFn, .absorb = absorbFn, .hold = holdFn, .held = heldFn, .release = releaseFn, .chances = chancesFn } };
+    }
+
+    /// Whether holds compute the confidence head: the verify rows follow its chances, else the core's depth rule.
+    pub fn confident(d: *const Drafter) bool {
+        return d.w.confidence != null;
+    }
+
+    fn cast(ptr: *anyopaque) *Drafter {
+        return @ptrCast(@alignCast(ptr));
+    }
+
+    fn tapsFn(ptr: *anyopaque) []const u32 {
+        const d = cast(ptr);
+        return d.config.taps[0..d.config.tap_count];
+    }
+
+    /// Acceptance a depth until a stream has its own: the card's 5.16 tokens a step at block 9 is 0.84 a depth.
+    const prior: [16]f64 = @splat(0.84);
+
+    fn factsFn(ptr: *anyopaque) dr.Facts {
+        const d = cast(ptr);
+        var f: dr.Facts = .{ .depth = d.config.block, .step_ms = d.step_ms, .prior = prior[0..d.config.block], .batched = true, .stream_bytes = d.laneBytes(d.options.capacity), .copy_first = true };
+        f.chances = d.confident();
+        f.hold_costs = d.holds[0..d.holds_len];
+        return f;
+    }
+
+    /// A held chain's chances: the confidence head's running product, or for a fixed window, ones that fall by depth.
+    fn chancesFn(ptr: *anyopaque, s: *Stream, out: []f64) anyerror!bool {
+        const d = cast(ptr);
+        const l = d.lanes.get(s) orelse return false;
+        if (!d.confident()) return false;
+        if (d.pending != null and l.slot != null and l.conf_len > 0) {
+            // the hold still runs: the lane's last settled confidences price it, so the host does not wait on the GPU
+            if (out.len > d.depths[l.slot.?]) return error.DraftHeldFewer;
+            var reach: f64 = 1;
+            for (out, 0..) |*o, j| {
+                reach *= l.conf[@min(j, l.conf_len - 1)];
+                o.* = reach;
+            }
+            return true;
+        }
+        try d.settle();
+        if (out.len > l.held_len) return error.DraftHeldFewer;
+        var reach: f64 = 1;
+        for (out, l.conf[0..out.len]) |*o, p| {
+            reach *= p;
+            o.* = reach;
+        }
+        return true;
+    }
+
+    /// A stream's lane at `capacity` positions: its context keys and values a layer, and its staged rows.
+    pub fn laneBytes(d: *const Drafter, capacity: usize) usize {
+        return @intCast(d.keptBytes(capacity + d.config.block) + stage_rows * d.tapBytes());
+    }
+
+    /// A tapped row's bytes: every tap's hidden row, bf16.
+    pub fn tapBytes(d: *const Drafter) usize {
+        return d.config.tap_count * c.hidden * 2;
+    }
+
+    /// The lane's staged rows as an absorb piece (null: none staged).
+    pub fn stagedPiece(l: *Lane) ?block.Piece {
+        if (l.staged == 0) return null;
+        return .{ .lane = l, .src = .{ .buf = l.mem, .off = l.stage_at }, .rows = l.staged, .p0 = l.end };
+    }
+
+    /// The lane's staged rows absorbed now, in a command buffer of their own.
+    fn flush(d: *Drafter, l: *Lane) !void {
+        const pc = stagedPiece(l) orelse return;
+        const pool = mtl.objc.Pool.push();
+        defer pool.pop();
+        const run = block.begin(d);
+        try block.absorbPass(d, run.e, &.{pc});
+        try block.end(run.cb, run.e);
+        l.end += l.staged;
+        l.staged = 0;
+    }
+
+    fn openFn(ptr: *anyopaque, s: *Stream) anyerror!void {
+        const d = cast(ptr);
+        if (d.lanes.contains(s)) return error.DraftStreamOpen;
+        const want = s.prompt_len + s.max_new + 2 * d.config.block;
+        const l = try d.newLane(@min(d.options.capacity, (want + 63) / 64 * 64));
+        errdefer d.dropLane(l);
+        try d.lanes.put(d.gpa, s, l);
+    }
+
+    /// A lane in one buffer of laneBytes(capacity).
+    pub fn newLane(d: *Drafter, capacity: usize) !*Lane {
+        const l = try d.gpa.create(Lane);
+        errdefer d.gpa.destroy(l);
+        const at: usize = @intCast(d.keptBytes(capacity + d.config.block));
+        l.* = .{ .mem = try d.target.device.buffer(d.laneBytes(capacity), shared), .cap = capacity + d.config.block, .stage_at = at };
+        return l;
+    }
+
+    pub fn dropLane(d: *Drafter, l: *Lane) void {
+        l.mem.deinit();
+        d.gpa.destroy(l);
+    }
+
+    fn releaseFn(ptr: *anyopaque, s: *Stream) void {
+        const d = cast(ptr);
+        d.unpass() catch {};
+        if (d.lanes.fetchRemove(s)) |e| d.dropLane(e.value);
+    }
+
+    fn heldFn(ptr: *anyopaque, streams: []const *Stream, out: []const []u32) anyerror!void {
+        const d = cast(ptr);
+        try d.settle();
+        for (streams, out) |s, o| {
+            const l = d.lanes.get(s) orelse return error.DraftStreamUnknown;
+            if (o.len > l.held_len) return error.DraftHeldFewer;
+            @memcpy(o, l.held[0..o.len]);
+        }
+    }
+
+    /// Bytes a lane's context at `at` takes beside a kept prompt state.
+    pub fn keptBytes(d: *const Drafter, at: usize) u64 {
+        return 2 * @as(u64, d.config.layers) * at * kw * 2;
+    }
+
+    /// Stream `s`'s context copied into `snap` when its lane stands at the snapshot's position (a prompt chunk's end).
+    pub fn keepLane(d: *Drafter, s: *Stream, snap: *snapshot.Snap) !void {
+        const l = d.lanes.get(s) orelse return;
+        try d.settle();
+        try d.flush(l);
+        if (l.end != snap.at) return;
+        const bytes = try d.gpa.alloc(u8, @intCast(d.keptBytes(snap.at)));
+        copyLane(d, l, snap.at, bytes, true);
+        snap.draft = bytes;
+    }
+
+    /// The lane takes the context kept with the state its stream's prompt pass resumed at `start`.
+    fn resumeLane(d: *Drafter, s: *Stream, l: *Lane, start: u64) !void {
+        const saved = s.reuse.saved orelse return error.DraftContextGap;
+        const snap: *const snapshot.Snap = @ptrCast(@alignCast(saved));
+        const bytes = snap.draft orelse return error.DraftContextGap;
+        if (s.cached != start or snap.at != start or l.end != 0 or start + d.config.block > l.cap) return error.DraftContextGap;
+        copyLane(d, l, snap.at, bytes, false);
+        l.end = start;
+    }
+
+    /// Rows [0, at) of every layer's keys and values and `bytes` (`out`: the lane's into bytes), kv head by kv head.
+    fn copyLane(d: *const Drafter, l: *const Lane, at: usize, bytes: []u8, out: bool) void {
+        const n = at * c.head_dim * 2;
+        var off: usize = 0;
+        for (0..d.config.layers) |i| for ([_]block.Ref{ l.kv(i, false), l.kv(i, true) }) |r| for (0..c.kv_heads) |h| {
+            const live = (r.buf.contents() + r.off + h * l.cap * c.head_dim * 2)[0..n];
+            if (out) @memcpy(bytes[off..][0..n], live) else @memcpy(live, bytes[off..][0..n]);
+            off += n;
+        };
+    }
+
+    /// Rows from `start` replace the context there: rows that fit the stage wait on the host for the next hold.
+    fn absorbFn(ptr: *anyopaque, items: []const dr.Absorb) anyerror!void {
+        const d = cast(ptr);
+        try d.settle();
+        const width = d.tapBytes();
+        const pool = mtl.objc.Pool.push();
+        defer pool.pop();
+        var run: ?@TypeOf(block.begin(d)) = null;
+        var pieces: [32]block.Piece = undefined;
+        var count: usize = 0;
+        var rows: usize = 0;
+        for (items) |it| {
+            const l = d.lanes.get(it.stream) orelse return error.DraftStreamUnknown;
+            const f = it.features;
+            if (f.space != .device or f.dtype != .bf16 or f.row_bytes != width or it.rows != null) return error.DraftFeaturesUnsupported;
+            if (it.start > l.end + l.staged) try d.resumeLane(it.stream, l, it.start); // a prompt pass that resumed
+            if (it.start + f.rows + d.config.block > l.cap) return error.DraftContextGap;
+            l.held_len = 0;
+            l.slot = null;
+            const src = mtl.Buffer{ .id = @ptrFromInt(f.buffer) };
+            // rows from `start` replace what was staged past it; rows before the absorbed end go to the GPU now
+            const keep: u32 = if (it.start >= l.end) @intCast(it.start - l.end) else 0;
+            l.staged = @min(l.staged, keep);
+            if (it.start >= l.end and l.staged + f.rows <= stage_rows) {
+                const from = (src.contents() + f.offset)[0 .. f.rows * width];
+                @memcpy((l.mem.contents() + l.stage_at + l.staged * width)[0 .. f.rows * width], from);
+                l.staged += f.rows;
+                continue;
+            }
+            if (run == null) run = block.begin(d);
+            const e = run.?.e;
+            if (stagedPiece(l)) |pc| {
+                if (count == pieces.len or rows + pc.rows > absorb_rows) {
+                    try block.absorbPass(d, e, pieces[0..count]);
+                    count = 0;
+                    rows = 0;
+                }
+                pieces[count] = pc;
+                count += 1;
+                rows += pc.rows;
+            }
+            var at: usize = 0;
+            while (at < f.rows) {
+                if (rows == absorb_rows or count == pieces.len) { // the pass is full: encode it
+                    try block.absorbPass(d, e, pieces[0..count]);
+                    count = 0;
+                    rows = 0;
+                }
+                const n = @min(absorb_rows - rows, f.rows - at);
+                pieces[count] = .{ .lane = l, .src = .{ .buf = src, .off = f.offset + at * width }, .rows = n, .p0 = it.start + at };
+                count += 1;
+                rows += n;
+                at += n;
+            }
+            l.end = it.start + f.rows;
+            l.staged = 0;
+        }
+        const r = run orelse return;
+        // the other lanes' staged rows join the pass: one waited pass a stage's worth of rounds, not one a stream
+        var others = d.lanes.valueIterator();
+        while (others.next()) |lp| {
+            const pc = stagedPiece(lp.*) orelse continue;
+            if (count == pieces.len or rows + pc.rows > absorb_rows) {
+                try block.absorbPass(d, r.e, pieces[0..count]);
+                count = 0;
+                rows = 0;
+            }
+            pieces[count] = pc;
+            count += 1;
+            rows += pc.rows;
+            lp.*.end += lp.*.staged;
+            lp.*.staged = 0;
+        }
+        if (count > 0) try block.absorbPass(d, r.e, pieces[0..count]);
+        try block.end(r.cb, r.e);
+    }
+
+    /// Each stream's chain of `depth` drafts after `pending` at `position`, its block's rows in a pass of pass_rows.
+    fn holdFn(ptr: *anyopaque, items: []const dr.Hold) anyerror!void {
+        const d = cast(ptr);
+        try d.unpass();
+        var at: usize = 0;
+        while (at < items.len) {
+            // as many streams as their blocks' rows fit a pass: each block is as long as the pass's deepest chain
+            var deepest: usize = 0;
+            var end = at;
+            while (end < items.len) : (end += 1) {
+                const rows = @max(deepest, items[end].depth);
+                if ((end - at + 1) * rows > pass_rows) break;
+                deepest = rows;
+            }
+            if (end == at) return error.DraftDepth;
+            var blocks: [pass_rows]block.Block = undefined;
+            const group = items[at..end];
+            at = end;
+            for (group, blocks[0..group.len]) |it, *b| {
+                const l = d.lanes.get(it.stream) orelse return error.DraftStreamUnknown;
+                if (it.depth == 0 or it.depth > d.config.block or it.position == 0) return error.DraftDepth;
+                const anchor = it.position - 1;
+                if (l.end + l.staged != anchor or anchor + d.config.block > l.cap) return error.DraftContextGap;
+                b.* = .{ .lane = l, .pending = it.pending, .anchor = anchor, .depth = it.depth };
+            }
+            if (group.len == items.len) { // one pass: signalled, not waited on
+                d.signalled += 1;
+                d.pending = try block.hold(d, blocks[0..group.len], .{ .event = d.event, .value = d.signalled });
+                for (blocks[0..group.len], 0..) |b, bi| {
+                    d.pass[bi] = b.lane;
+                    d.depths[bi] = b.depth;
+                    b.lane.slot = @intCast(bi);
+                    b.lane.held_len = 0;
+                }
+                d.pass_len = group.len;
+                continue;
+            }
+            _ = try block.hold(d, blocks[0..group.len], null);
+        }
+    }
+
+    /// The signalled hold waited on, its picks read into its lanes' held chains (nothing pending: nothing done).
+    fn settle(d: *Drafter) !void {
+        const cb = d.pending orelse return;
+        d.pending = null;
+        defer cb.release();
+        cb.wait();
+        if (cb.failure()) |msg| {
+            std.log.err("lfm2 dspark: a hold failed on the GPU: {s}", .{msg});
+            return error.DraftGpuFailed;
+        }
+        d.priceHold((cb.gpuEnd() - cb.gpuStart()) * 1000);
+        try block.readPicks(d, d.pass[0..d.pass_len], d.depths[0..d.pass_len]);
+    }
+
+    /// A settled hold's GPU ms against its price: the timed passes at its block counts move a tenth of the way to it.
+    pub fn priceHold(d: *Drafter, ms: f64) void {
+        const timed = d.holds[0..d.holds_len];
+        if (timed.len == 0 or d.pass_len == 0 or !(ms > 0)) return;
+        const deepest = std.mem.max(u32, d.depths[0..d.pass_len]);
+        const priced = lanes.hold_price.holdMs(timed, d.pass_len, deepest);
+        if (!(priced > 0)) return;
+        const step = 1 + 0.1 * (ms / priced - 1);
+        var lo: u32 = 0;
+        var hi: u32 = std.math.maxInt(u32);
+        for (timed) |h| {
+            if (h.streams <= d.pass_len) lo = @max(lo, h.streams);
+            if (h.streams >= d.pass_len) hi = @min(hi, h.streams);
+        }
+        for (timed) |*h| if (h.streams >= lo and h.streams <= hi) {
+            h.ms *= step;
+        };
+    }
+
+    /// The signalled hold settled and its lanes' picks forgotten (a lane may be dropped, or a hold may overwrite).
+    fn unpass(d: *Drafter) !void {
+        defer {
+            for (d.pass[0..d.pass_len]) |l| l.slot = null;
+            d.pass_len = 0;
+        }
+        try d.settle();
+    }
+
+    /// Where stream `s`'s drafts from the last signalled hold lie in the picks, for a verify to copy on the GPU.
+    pub fn device(ptr: *anyopaque, s: *Stream) ?backend.Device {
+        const d = cast(ptr);
+        const l = d.lanes.get(s) orelse return null;
+        const slot = l.slot orelse return null;
+        return .{ .src = d.s.picks, .off = slot * 8, .stride = pass_rows * 2, .wait = .{ .event = d.event, .value = d.signalled } };
+    }
+
+    /// The target's verify reading the held drafts on the device, or as host tokens where it cannot.
+    pub fn heldSource(d: *Drafter) backend.HeldSource {
+        return .{ .ptr = d, .get = device, .host = hostHeld };
+    }
+
+    fn hostHeld(ptr: *anyopaque, s: *Stream, out: []u32) anyerror!void {
+        return heldFn(ptr, &.{s}, &.{out});
+    }
+
+    fn mibOf(bufs: []const mtl.Buffer) f64 {
+        var n: usize = 0;
+        for (bufs) |b| n += b.length();
+        return @as(f64, @floatFromInt(n)) / (1024.0 * 1024.0);
+    }
+
+    /// Holds on empty contexts: the pipelines compiled, then holds timed by blocks and depth (best of three).
+    fn warm(d: *Drafter) !void {
+        var made: [hold_grid[hold_grid.len - 1]]*Lane = undefined;
+        var n: usize = 0;
+        defer for (made[0..n]) |l| d.dropLane(l);
+        while (n < made.len) : (n += 1) made[n] = try d.newLane(64);
+        const l = made[0];
+        var best: [2]f64 = @splat(std.math.floatMax(f64));
+        for (0..4) |i| for ([_]u32{ 1, d.config.block }, &best) |depth, *b| {
+            const t0 = std.Io.Clock.awake.now(d.io);
+            _ = try block.hold(d, &.{.{ .lane = l, .pending = 1, .anchor = 0, .depth = depth }}, null);
+            const ms = @as(f64, @floatFromInt(t0.durationTo(std.Io.Clock.awake.now(d.io)).toNanoseconds())) / 1e6;
+            if (i > 0) b.* = @min(b.*, ms);
+        };
+        d.hold_ms = best[1];
+        d.step_ms = best[1] / @as(f64, @floatFromInt(d.config.block));
+        std.log.info("lfm2 dspark: a 1-draft hold takes {d:.2} ms, a {d}-draft hold {d:.2} ms", .{ best[0], d.config.block, best[1] });
+        std.log.info("lfm2 dspark: weights {d:.1} MiB, scratch {d:.1} MiB, a stream {d} KiB a position and {d} KiB staged", .{ mibOf(d.w.buffers()), mibOf(d.owned.items), d.keptBytes(1) / 1024, stage_rows * d.tapBytes() / 1024 });
+        var blocks: [hold_grid[hold_grid.len - 1]]block.Block = undefined;
+        for (made, &blocks) |lane, *b| b.* = .{ .lane = lane, .pending = 1, .anchor = 0, .depth = 1 };
+        d.holds_len = 0;
+        for (hold_grid) |streams| for (1..@min(d.config.block, pass_rows / streams) + 1) |depth| {
+            for (blocks[0..streams]) |*b| b.depth = @intCast(depth);
+            var ms_best = std.math.floatMax(f64);
+            for (0..4) |i| {
+                const t0 = std.Io.Clock.awake.now(d.io);
+                _ = try block.hold(d, blocks[0..streams], null);
+                const ms = @as(f64, @floatFromInt(t0.durationTo(std.Io.Clock.awake.now(d.io)).toNanoseconds())) / 1e6;
+                if (i > 0) ms_best = @min(ms_best, ms);
+            }
+            d.holds[d.holds_len] = .{ .streams = streams, .depth = @intCast(depth), .ms = ms_best };
+            d.holds_len += 1;
+        };
+    }
+};
+
+test "lfm2 dspark: scratch and warm allocation failures release buffers before their list" {
+    const device = mtl.Device.init() catch return error.SkipZigTest;
+    defer device.deinit();
+    var target: Model = undefined;
+    target.device = device;
+    for ([_]usize{ 1, 3 }) |fail_index| {
+        var failing = std.testing.FailingAllocator.init(std.testing.allocator, .{ .fail_index = fail_index });
+        var d: Drafter = .{
+            .gpa = failing.allocator(),
+            .io = undefined,
+            .target = &target,
+            .config = try dc.Config.parse(std.testing.allocator, dc.stock),
+            .w = undefined,
+            .options = .{ .capacity = 64 },
+            .s = undefined,
+        };
+        try std.testing.expectError(error.OutOfMemory, d.prepare());
+        try std.testing.expect(failing.has_induced_failure);
+        try std.testing.expectEqual(failing.allocated_bytes, failing.freed_bytes);
+    }
+}
diff --git a/zig/src/families/lfm2_moe/dspark_bf16_test.zig b/zig/src/families/lfm2_moe/dspark_bf16_test.zig
new file mode 100644
index 0000000000..293549bde1
--- /dev/null
+++ b/zig/src/families/lfm2_moe/dspark_bf16_test.zig
@@ -0,0 +1,121 @@
+//! The DSpark drafter's bf16 kernels on the GPU against host references: the linears and the Markov scan over bf16 W2.
+const std = @import("std");
+const mtl = @import("metal");
+const quant = @import("dspark_quant.zig");
+const base = @import("dspark_test.zig");
+
+const Args = extern struct { rows: u32, n: u32, k: u32 };
+
+/// y = x W^T through `key` on random bf16 data, each output within a bf16 step of the fp64 product.
+fn linear(comptime key: []const u8, rows: usize, n: usize, k: usize, groups: [2]usize, threads: usize) !void {
+    var r = try base.Rig.init();
+    defer r.deinit();
+    const x = try r.buffer(u16, rows * k);
+    defer x.deinit();
+    const w = try r.buffer(u16, n * k);
+    defer w.deinit();
+    const y = try r.buffer(u16, rows * n);
+    defer y.deinit();
+    base.noise(31, x.slice(u16, rows * k), 2);
+    base.noise(32, w.slice(u16, n * k), 0.5);
+    const cb = r.queue.commandBuffer();
+    const e = cb.compute(.serial);
+    e.setPipeline(r.k.get(key));
+    e.setBuffer(x, 0, 0);
+    e.setBuffer(w, 0, 1);
+    e.setValue(Args{ .rows = @intCast(rows), .n = @intCast(n), .k = @intCast(k) }, 2);
+    e.setBuffer(y, 0, 3);
+    e.dispatchGroups(mtl.Size.of(groups[0], groups[1], 1), mtl.Size.of(threads, 1, 1));
+    e.end();
+    cb.commit();
+    cb.wait();
+    if (cb.failure()) |_| return error.GpuFailed;
+    const xs = x.slice(u16, rows * k);
+    const ws = w.slice(u16, n * k);
+    const ys = y.slice(u16, rows * n);
+    for (0..rows) |i| for (0..n) |j| {
+        var dot: f64 = 0;
+        for (0..k) |t| dot += @as(f64, quant.toF32(xs[i * k + t])) * @as(f64, quant.toF32(ws[j * k + t]));
+        const got: f64 = quant.toF32(ys[i * n + j]);
+        try std.testing.expect(@abs(got - dot) <= @abs(dot) * 0x1p-7 + 1e-3);
+    };
+}
+
+test "lfm2 dspark: the bf16 rows kernel is x W^T for one row, a full 16 and a ragged 19 (two row groups)" {
+    for ([_]usize{ 1, 16, 19 }) |rows| try linear("lfm2_bf16_rows", rows, 100, 288, .{ 13, (rows + 15) / 16 }, 256);
+}
+
+test "lfm2 dspark: the bf16 tile kernel is x W^T for a ragged 70 rows and 100 columns, k a multiple of 32" {
+    try linear("lfm2_bf16_mma", 70, 100, 288, .{ 2, 2 }, 128);
+}
+
+test "lfm2 dspark: the bf16 tile kernel at the drafter's widths" {
+    try linear("lfm2_bf16_mma", 33, 512, 2048, .{ 8, 1 }, 128);
+}
+
+test "lfm2 dspark: a Markov step over bf16 W2 picks the argmax of bf16(base + bf16(W2 . W1[prev])), a NaN row flagged" {
+    var r = try base.Rig.init();
+    defer r.deinit();
+    const rank = 256;
+    const vocab = 1300;
+    const streams = 4;
+    const groups = (vocab + 511) / 512;
+    const w1 = try r.buffer(u16, vocab * rank);
+    defer w1.deinit();
+    base.noise(11, w1.slice(u16, vocab * rank), 1);
+    const w2 = try r.buffer(u16, vocab * rank);
+    defer w2.deinit();
+    base.noise(12, w2.slice(u16, vocab * rank), 0.5);
+    const ids = try r.buffer(u32, 2 * streams);
+    defer ids.deinit();
+    @memcpy(ids.slice(u32, 2 * streams), &[_]u32{ 17, 9, vocab - 1, 9, vocab + 5, 0, 3, 3 });
+    const logits = try r.buffer(u16, streams * 2 * vocab);
+    defer logits.deinit();
+    base.noise(14, logits.slice(u16, streams * 2 * vocab), 4);
+    logits.slice(u16, streams * 2 * vocab)[3 * 2 * vocab + 700] = 0x7fc0;
+    const best = try r.buffer(f32, streams * groups);
+    defer best.deinit();
+    const at = try r.buffer(u32, streams * groups);
+    defer at.deinit();
+    const picks = try r.buffer(u32, 2 * streams);
+    defer picks.deinit();
+    const cb = r.queue.commandBuffer();
+    const e = cb.compute(.serial);
+    e.setPipeline(r.k.get("lfm2_markov_scan_bf16"));
+    for ([_]mtl.Buffer{ logits, w1, w2, ids }, 0..) |b, i| e.setBuffer(b, 0, i);
+    e.setValue([4]u32{ 2 * vocab, rank, vocab, 2 }, 4);
+    for ([_]mtl.Buffer{ best, at }, 5..) |b, i| e.setBuffer(b, 0, i);
+    e.dispatchGroups(mtl.Size.of(groups, streams, 1), mtl.Size.of(256, 1, 1));
+    e.setPipeline(r.k.get("lfm2_markov_pick"));
+    e.setBuffer(best, 0, 0);
+    e.setBuffer(at, 0, 1);
+    e.setValue(@as(u32, groups), 2);
+    e.setBuffer(picks, 0, 3);
+    e.dispatchGroups(mtl.Size.of(streams, 1, 1), mtl.Size.of(256, 1, 1));
+    e.end();
+    cb.commit();
+    cb.wait();
+    const got = picks.slice(u32, 2 * streams);
+    const logit = logits.slice(u16, streams * 2 * vocab);
+    for (0..streams) |s| {
+        if (s == 3) {
+            try std.testing.expectEqual(@as(u32, 1), got[2 * s + 1]);
+            continue;
+        }
+        try std.testing.expectEqual(@as(u32, 0), got[2 * s + 1]);
+        const id = ids.slice(u32, 2 * streams)[2 * s];
+        var top: f64 = -std.math.inf(f64);
+        var mine: f64 = 0;
+        for (0..vocab) |v| {
+            var dot: f64 = 0;
+            for (0..rank) |i| {
+                const e1: f64 = if (id < vocab) quant.toF32(w1.slice(u16, vocab * rank)[id * rank + i]) else 0;
+                dot += @as(f64, quant.toF32(w2.slice(u16, vocab * rank)[v * rank + i])) * e1;
+            }
+            const score: f64 = quant.toF32(quant.toBf16(quant.toF32(logit[s * 2 * vocab + v]) + quant.toF32(quant.toBf16(@floatCast(dot)))));
+            top = @max(top, score);
+            if (v == got[2 * s]) mine = score;
+        }
+        try std.testing.expect(got[2 * s] < vocab and mine >= top - @abs(top) * 0x1p-7);
+    }
+}
diff --git a/zig/src/families/lfm2_moe/dspark_block.zig b/zig/src/families/lfm2_moe/dspark_block.zig
new file mode 100644
index 0000000000..a737582c5e
--- /dev/null
+++ b/zig/src/families/lfm2_moe/dspark_block.zig
@@ -0,0 +1,445 @@
+//! DSpark's passes on the target's queue: context rows into a lane's keys, and a block's rows into Markov drafts.
+const std = @import("std");
+const mtl = @import("metal");
+const c = @import("config.zig");
+const st = @import("state.zig");
+const fwd = @import("forward.zig");
+const tile = @import("../../core/tile_qmm.zig");
+const am = @import("../../core/affine_mm.zig");
+const round = @import("tree_round_gpu");
+const ds = @import("dspark.zig");
+const dw = @import("dspark_weights.zig");
+const Drafter = ds.Drafter;
+const Lane = ds.Lane;
+
+const kw = c.kv_heads * c.head_dim;
+const QkArgs = extern struct { len: u32, cap: u32, eps: f32, log2_theta: f32 };
+const AttnArgs = extern struct { len: u32, cap: u32, scale: f32, subs: u32 };
+/// Partials a query row takes in the scratch (the kernels' QH x CHUNKS x SUBS).
+const part_row = c.query_heads * st.chunks * st.subs;
+
+fn attnArgs(lane: *const Lane, keys: u64) AttnArgs {
+    return .{ .len = @intCast(keys - 1), .cap = @intCast(lane.cap), .scale = 1.0 / @sqrt(@as(f32, c.head_dim)), .subs = st.subs };
+}
+const Pick = round.contract.Pick;
+const Bf16Args = extern struct { rows: u32, n: u32, k: u32 };
+const MarkovArgs = extern struct { stride: u32, rank: u32, vocab: u32, prev_stride: u32 };
+const ConfidenceArgs = extern struct { n: u32, pass: u32, vocab: u32, rank: u32, hidden: u32 };
+/// Tokens a Markov scan threadgroup takes (the kernel's MARKOV_SPAN), and threadgroups a stream's row takes.
+pub const scan_span = 512;
+pub const scan_groups = (c.vocab + scan_span - 1) / scan_span;
+
+/// Rows a drafter projection takes on the scalar twin at most (faster there than the window or tensor units).
+const scalar_rows = 8;
+/// Rows from which the target's head (128,000 outputs) runs on the tensor units, where the GPU has them.
+const head_rows = 5;
+
+/// Rows from which `w` runs on the tensor units: outputs of the hidden width or fewer stay on the twin to its rows.
+fn naxFrom(w: tile.Matrix) usize {
+    if (w.n <= c.hidden) return tile.twin_rows + 1;
+    return if (w.n == c.vocab) head_rows else scalar_rows + 1;
+}
+
+/// A buffer and byte offset.
+pub const Ref = struct { buf: mtl.Buffer, off: usize = 0 };
+
+/// One stream's block in a hold pass: rows [pending, mask x (block - 1)] at positions anchor .. anchor + block - 1.
+pub const Block = struct { lane: *Lane, pending: u32, anchor: u64, depth: u32 };
+
+const Enc = struct {
+    d: *Drafter,
+    e: mtl.ComputeEncoder,
+    bf16_rows_max: usize = 16,
+    conc: bool = false, // a concurrent encoder: each step waits for the writes before it at `sync`
+
+    /// Later dispatches see the writes before this point (a no-op on a serial encoder).
+    fn sync(x: Enc) void {
+        if (x.conc) x.e.barrier();
+    }
+
+    fn pipe(x: Enc, comptime key: []const u8) void {
+        x.e.setPipeline(x.d.target.kernels.get(key));
+    }
+
+    /// y[rows] = x[rows] W^T: the M5's tensor units from naxFrom rows, else the twin (scalar to scalar_rows) or tiles.
+    fn project(x: Enc, w: dw.Linear, in: Ref, out: Ref, rows: usize) !void {
+        return x.projectAll(&.{w}, in, &.{out}, rows);
+    }
+
+    /// y_i[rows] = x[rows] W_i^T on one input and shape: bf16 matrices straight, else one sums pass, products overlap.
+    fn projectAll(x: Enc, lins: []const dw.Linear, in: Ref, outs: []const Ref, rows: usize) !void {
+        if (lins[0] == .bf16) {
+            for (lins, outs) |lin, out| x.bf16(lin.bf16, in, out, rows);
+            return;
+        }
+        var buf: [4]tile.Matrix = undefined;
+        for (lins, 0..) |lin, i| buf[i] = lin.codes;
+        const ws = buf[0..lins.len];
+        const t = &x.d.target.kernels.tiles;
+        const sums = Ref{ .buf = x.d.s.sums };
+        const k = ws[0].k;
+        const nax = x.d.target.kernels.naxPipes(ws[0].bits);
+        if (rows >= naxFrom(ws[0])) if (nax) |p| {
+            am.rowSums(x.e, p, c.group, in, sums, @intCast(rows), @intCast(k));
+            x.sync();
+            for (ws, outs) |w, out| {
+                const q = .{ .w = Ref{ .buf = w.w, .off = w.w_off }, .s = Ref{ .buf = w.scales, .off = w.s_off }, .b = Ref{ .buf = w.biases, .off = w.b_off }, .n = @as(u32, @intCast(w.n)), .k = @as(u32, @intCast(w.k)) };
+                am.dense(x.e, p, in, sums, q, out, @intCast(rows));
+            }
+            return;
+        };
+        if (rows <= tile.twin_rows and x.d.target.kernels.twin) {
+            // beside the tensor units the scalar twin takes every row count it has; elsewhere the window from 9 rows
+            const window: usize = if (nax != null) tile.twin_rows + 1 else scalar_rows + 1;
+            for (ws, outs) |w, out| try tile.encodeTwinFrom(x.e, t, w, in.buf, in.off, out.buf, out.off, rows, window);
+            return;
+        }
+        tile.encodeSums(x.e, t, k, in.buf, in.off, x.d.s.sums, rows);
+        x.sync();
+        for (ws, outs) |w, out| try tile.encode(x.e, t, w, in.buf, in.off, x.d.s.sums, 0, out.buf, out.off, rows);
+    }
+
+    /// y[rows] = x[rows] W^T over the released bf16 matrix: one 16-row pass of W, else 64x64 tiles.
+    fn bf16(x: Enc, m: dw.Bf16, in: Ref, out: Ref, rows: usize) void {
+        const args = Bf16Args{ .rows = @intCast(rows), .n = @intCast(m.n), .k = @intCast(m.k) };
+        const few = rows <= x.bf16_rows_max;
+        if (few) x.pipe("lfm2_bf16_rows") else x.pipe("lfm2_bf16_mma");
+        x.e.setBuffer(in.buf, in.off, 0);
+        x.e.setBuffer(m.w, 0, 1);
+        x.e.setBytes(std.mem.asBytes(&args), 2);
+        x.e.setBuffer(out.buf, out.off, 3);
+        if (few) {
+            x.e.dispatchGroups(mtl.Size.of((m.n + 7) / 8, (rows + 15) / 16, 1), mtl.Size.of(256, 1, 1));
+        } else x.e.dispatchGroups(mtl.Size.of((m.n + 63) / 64, (rows + 63) / 64, 1), mtl.Size.of(128, 1, 1));
+    }
+
+    /// h += r when `add`, then out = norm(h) * gain: LFM2's own norm (the drafter's width and eps are the target's).
+    fn norm(x: Enc, h: mtl.Buffer, r: mtl.Buffer, gain: mtl.Buffer, add: bool, out: mtl.Buffer, rows: usize) void {
+        x.pipe("lfm2_norm");
+        x.e.setBuffer(h, 0, 0);
+        x.e.setBuffer(r, 0, 1);
+        x.e.setBuffer(gain, 0, 2);
+        x.e.setValue(c.eps, 3);
+        x.e.setValue(@as(u32, @intFromBool(add)), 4);
+        x.e.setBuffer(out, 0, 5);
+        x.e.dispatchGroups(mtl.Size.of(rows, 1, 1), mtl.Size.of(c.hidden / 4, 1, 1));
+    }
+
+    /// Rows' queries normed and rotated into `queries`, keys and values into the lane's layer at positions from `len`.
+    fn qk(x: Enc, q: Ref, k: Ref, v: Ref, layer: usize, lane: *const Lane, len: u64, queries: Ref, rows: usize) void {
+        const ly = &x.d.w.layers[layer];
+        x.pipe("lfm2_qk");
+        x.e.setBuffer(q.buf, q.off, 0);
+        x.e.setBuffer(k.buf, k.off, 1);
+        x.e.setBuffer(v.buf, v.off, 2);
+        x.e.setBuffer(ly.q_norm, 0, 3);
+        x.e.setBuffer(ly.k_norm, 0, 4);
+        const args = QkArgs{ .len = @intCast(len), .cap = @intCast(lane.cap), .eps = c.eps, .log2_theta = std.math.log2(x.d.config.theta) };
+        x.e.setBytes(std.mem.asBytes(&args), 5);
+        x.e.setBuffer(queries.buf, queries.off, 6);
+        x.e.setBuffer(lane.mem, lane.kv(layer, false).off, 7);
+        x.e.setBuffer(lane.mem, lane.kv(layer, true).off, 8);
+        x.e.dispatchGroups(mtl.Size.of(c.query_heads + c.kv_heads, rows, 1), mtl.Size.of(32, 1, 1));
+    }
+
+    /// The chunks' partials of query rows [row, row + rows) against the lane's keys, at partial row `part`.
+    fn partials(x: Enc, layer: usize, lane: *const Lane, row: usize, rows: usize, keys: u64, part: usize) void {
+        const s = &x.d.s;
+        const args = attnArgs(lane, keys);
+        const used = (keys + st.chunk_keys - 1) / st.chunk_keys * st.subs;
+        const at = part * part_row;
+        x.pipe("lfm2_attn_block");
+        x.e.setBuffer(s.queries, row * c.hidden * 2, 0);
+        x.e.setBuffer(lane.mem, lane.kv(layer, false).off, 1);
+        x.e.setBuffer(lane.mem, lane.kv(layer, true).off, 2);
+        x.e.setBytes(std.mem.asBytes(&args), 3);
+        x.e.setBuffer(s.pm, at * 4, 4);
+        x.e.setBuffer(s.pl, at * 4, 5);
+        x.e.setBuffer(s.po, at * c.head_dim * 4, 6);
+        x.e.setValue(@as(u32, @intCast(rows)), 7);
+        x.e.dispatchGroups(mtl.Size.of((rows + 7) / 8, c.kv_heads, @intCast(used)), mtl.Size.of(128, 1, 1));
+    }
+
+    /// The partials from partial row `part` merged into the attention's output rows [row, row + rows).
+    fn merge(x: Enc, lane: *const Lane, row: usize, rows: usize, keys: u64, part: usize) void {
+        const s = &x.d.s;
+        const args = attnArgs(lane, keys);
+        const at = part * part_row;
+        x.pipe("lfm2_attn_block_merge");
+        x.e.setBuffer(s.pm, at * 4, 0);
+        x.e.setBuffer(s.pl, at * 4, 1);
+        x.e.setBuffer(s.po, at * c.head_dim * 4, 2);
+        x.e.setBytes(std.mem.asBytes(&args), 3);
+        x.e.setBuffer(s.y, row * c.hidden * 2, 4);
+        x.e.dispatchGroups(mtl.Size.of(c.query_heads, rows, 1), mtl.Size.of(32, 1, 1));
+    }
+};
+
+/// One stream's tapped rows in an absorb pass: `rows` rows at `src`, the context from position `p0`.
+pub const Piece = struct { lane: *Lane, src: Ref, rows: usize, p0: u64 };
+
+/// Each piece's rows into its lane's keys and values (fc, hidden_norm, k, v, k_norm, RoPE) in passes on `e`.
+pub fn absorbPass(d: *Drafter, e: mtl.ComputeEncoder, pieces: []const Piece) !void {
+    return absorbOn(.{ .d = d, .e = e }, pieces);
+}
+
+fn absorbOn(encoder: Enc, pieces: []const Piece) !void {
+    var x = encoder;
+    x.bf16_rows_max = 32; // preserve the context cache's original projection arithmetic
+    const d = x.d;
+    const s = &d.s;
+    var rows: usize = 0;
+    for (pieces) |pc| {
+        try x.project(d.w.fc, pc.src, .{ .buf = s.fcx, .off = rows * c.hidden * 2 }, pc.rows);
+        x.sync(); // the pieces' projections share the sums scratch
+        rows += pc.rows;
+    }
+    if (rows == 0 or rows > ds.absorb_rows) return error.DraftContextGap;
+    x.norm(s.fcx, s.fcx, d.w.hidden_norm, false, s.fcx, rows); // in place: a thread reads its values first
+    x.sync();
+    for (0..d.config.layers) |i| {
+        const ly = &d.w.layers[i];
+        try x.projectAll(&.{ ly.k, ly.v }, .{ .buf = s.fcx }, &.{ .{ .buf = s.k }, .{ .buf = s.v } }, rows);
+        x.sync();
+        var at: usize = 0;
+        for (pieces) |pc| {
+            const q = Ref{ .buf = s.fcx, .off = at * c.hidden * 2 };
+            x.qk(q, .{ .buf = s.k, .off = at * kw * 2 }, .{ .buf = s.v, .off = at * kw * 2 }, i, pc.lane, pc.p0, .{ .buf = s.dump }, pc.rows);
+            at += pc.rows;
+        }
+        x.sync();
+    }
+}
+
+/// A command buffer for absorb passes, and its wait.
+pub fn begin(d: *Drafter) struct { cb: mtl.CommandBuffer, e: mtl.ComputeEncoder } {
+    const cb = d.target.queue.commandBuffer();
+    return .{ .cb = cb, .e = cb.compute(.serial) };
+}
+
+pub fn end(cb: mtl.CommandBuffer, e: mtl.ComputeEncoder) !void {
+    e.end();
+    cb.commit();
+    cb.wait();
+    if (cb.failure()) |msg| {
+        std.log.err("lfm2 dspark: command buffer failed: {s}", .{msg});
+        return error.GpuFailed;
+    }
+}
+
+/// Layer `layer`'s q, k, v and every block's attention (a lone block's last layer: `out` rows), on a concurrent `x`.
+fn attendBlocks(x: Enc, layer: usize, blocks: []const Block, n: u32, rows: usize, out: usize) !void {
+    const s = &x.d.s;
+    const ly = &x.d.w.layers[layer];
+    // the three projections, every block's keys, then waves of as many blocks as the partials hold at once
+    try x.projectAll(&.{ ly.q, ly.k, ly.v }, .{ .buf = s.x }, &.{ .{ .buf = s.q }, .{ .buf = s.k }, .{ .buf = s.v } }, rows);
+    x.sync();
+    for (blocks, 0..) |b, bi| {
+        const at = bi * n;
+        x.qk(.{ .buf = s.q, .off = at * c.hidden * 2 }, .{ .buf = s.k, .off = at * kw * 2 }, .{ .buf = s.v, .off = at * kw * 2 }, layer, b.lane, b.anchor, .{ .buf = s.queries, .off = at * c.hidden * 2 }, n);
+    }
+    x.sync();
+    const each = if (blocks.len == 1) out else n;
+    const wave = @max(1, x.d.partRows() / n);
+    var first: usize = 0;
+    while (first < blocks.len) : (first += wave) {
+        const last = @min(blocks.len, first + wave);
+        for (blocks[first..last], first..) |b, bi| x.partials(layer, b.lane, bi * n, each, b.anchor + n, (bi - first) * n);
+        x.sync();
+        for (blocks[first..last], first..) |b, bi| x.merge(b.lane, bi * n, each, b.anchor + n, (bi - first) * n);
+        x.sync();
+    }
+}
+
+/// A GPU event a hold signals instead of being waited on, and the value it sets.
+pub const Signal = struct { event: mtl.Event, value: u64 };
+
+/// The blocks' drafts (backbone, then Markov chain) into the lanes' held chains; with `signal`, left for readPicks.
+pub fn hold(d: *Drafter, blocks: []const Block, signal: ?Signal) !?mtl.CommandBuffer {
+    const pool = mtl.objc.Pool.push();
+    defer pool.pop();
+    const s = &d.s;
+    var depth: u32 = 0;
+    for (blocks) |b| depth = @max(depth, b.depth);
+    // a block of the deepest chain's rows, at most the 9 the drafter was trained on
+    const n: u32 = depth;
+    const rows = blocks.len * n;
+    if (rows == 0 or rows > ds.pass_rows) return error.DraftTooManyStreams;
+    const ids = s.ids.slice(u32, ds.pass_rows);
+    for (0..blocks.len) |i| {
+        ids[i * n] = blocks[i].pending;
+        @memset(ids[i * n + 1 ..][0 .. n - 1], d.config.mask);
+    }
+    const steps = depth;
+    // past the last layer's attention a lone block carries only the rows its chain reads; several keep them all
+    const tail = if (blocks.len == 1) steps else rows;
+    const cb = d.target.queue.commandBuffer();
+    // one concurrent encoder: independent dispatches overlap, each dependent step waits at a barrier
+    const x = Enc{ .d = d, .e = cb.compute(.concurrent), .conc = true };
+    // the blocks' staged context rows first, in the same command buffer
+    var staged: [ds.pass_rows]Piece = undefined;
+    var count: usize = 0;
+    var held: usize = 0;
+    for (blocks) |b| if (ds.Drafter.stagedPiece(b.lane)) |pc| {
+        if (held + pc.rows > ds.absorb_rows) {
+            try absorbOn(x, staged[0..count]);
+            count = 0;
+            held = 0;
+        }
+        staged[count] = pc;
+        count += 1;
+        held += pc.rows;
+    };
+    if (count > 0) try absorbOn(x, staged[0..count]);
+    for (blocks) |b| {
+        b.lane.end += b.lane.staged;
+        b.lane.staged = 0;
+    }
+    const t = d.target;
+    const emb = t.weights.embedding;
+    x.e.setPipeline(t.kernels.embed(emb.bits));
+    x.e.setBuffer(s.ids, 0, 0);
+    x.e.setBuffer(emb.w, emb.w_off, 1);
+    x.e.setBuffer(emb.scales, emb.s_off, 2);
+    x.e.setBuffer(emb.biases, emb.b_off, 3);
+    x.e.setBuffer(s.h, 0, 4);
+    const units = c.hidden / @as(usize, if (emb.bits == 6) 4 else 8 / emb.bits);
+    x.e.dispatchThreads(mtl.Size.of(units, rows, 1), mtl.Size.of(256, 1, 1));
+    x.sync();
+    for (0..d.config.layers) |i| {
+        const ly = &d.w.layers[i];
+        const out = if (i + 1 == d.config.layers) tail else rows;
+        x.norm(s.h, s.r, ly.input_norm, i > 0, s.x, rows);
+        x.sync();
+        try attendBlocks(x, i, blocks, n, rows, out);
+        try x.project(ly.o, .{ .buf = s.y }, .{ .buf = s.r }, out);
+        x.sync();
+        x.norm(s.h, s.r, ly.post_norm, true, s.x, out);
+        x.sync();
+        try x.projectAll(&.{ ly.gate, ly.up }, .{ .buf = s.x }, &.{ .{ .buf = s.gate }, .{ .buf = s.up } }, out);
+        x.sync();
+        x.pipe("lfm2_swiglu");
+        x.e.setBuffer(s.gate, 0, 0);
+        x.e.setBuffer(s.up, 0, 1);
+        x.e.setBuffer(s.act, 0, 2);
+        x.e.setValue(@as(u32, @intCast(out * d.config.intermediate)), 3);
+        x.e.dispatchThreads(mtl.Size.of(out * d.config.intermediate / 8, 1, 1), mtl.Size.of(256, 1, 1));
+        x.sync();
+        try x.project(ly.down, .{ .buf = s.act }, .{ .buf = s.r }, out);
+        x.sync();
+    }
+    x.norm(s.h, s.r, d.w.norm, true, s.x, tail);
+    x.sync();
+    try x.project(.{ .codes = fwd.matrix(emb) }, .{ .buf = s.x }, .{ .buf = s.logits }, tail);
+    x.sync();
+    try markov(x, blocks.len, n, steps);
+    if (d.confident()) confidence(x, blocks.len, n, steps);
+    const e = x.e;
+    if (signal) |sg| { // committed unwaited, the command buffer returned retained
+        e.end();
+        cb.signalEvent(sg.event, sg.value);
+        const kept = cb.retain();
+        cb.commit();
+        return kept;
+    }
+    try end(cb, e);
+    const picks = s.picks.slice(Pick, d.config.block * ds.pass_rows);
+    for (blocks, 0..) |b, bi| {
+        for (b.lane.held[0..steps], 0..) |*h, i| {
+            const p = picks[i * ds.pass_rows + bi];
+            if (p.nonfinite != 0 or p.token >= c.vocab) return error.DraftNonfinite;
+            h.* = p.token;
+        }
+        b.lane.held_len = b.depth;
+    }
+    for (blocks, 0..) |b, bi| readConfidence(d, b.lane, b.depth, bi);
+    return null;
+}
+
+/// Lane `l`'s drafts' chances from slot `bi` of the last hold's logits: sigmoid(logit + bias); none: left as they are.
+fn readConfidence(d: *Drafter, l: *Lane, depth: u32, bi: usize) void {
+    if (!d.confident()) return;
+    const logits = d.s.conf.slice(f32, d.config.block * ds.pass_rows);
+    for (l.conf[0..depth], 0..) |*p, i| p.* = 1 / (1 + @exp(-(logits[i * ds.pass_rows + bi] + d.w.confidence_bias)));
+    l.conf_len = depth;
+}
+
+/// A finished hold's picks into the lanes' held chains; a nonfinite or invalid pick is refused, as when synchronous.
+pub fn readPicks(d: *Drafter, lanes: []const *Lane, depths: []const u32) !void {
+    const picks = d.s.picks.slice(Pick, d.config.block * ds.pass_rows);
+    var chains: [ds.pass_rows][]u32 = undefined;
+    for (lanes, chains[0..lanes.len]) |l, *ch| ch.* = &l.held;
+    try copyPicks(picks, chains[0..lanes.len], depths);
+    for (lanes, depths, 0..) |l, depth, bi| {
+        l.held_len = depth;
+        readConfidence(d, l, depth, bi);
+    }
+}
+
+/// Step i of block bi is picks[i * ds.pass_rows + bi]: each block's first `depth` picks into its chain.
+pub fn copyPicks(picks: []const Pick, chains: []const []u32, depths: []const u32) !void {
+    for (chains, depths, 0..) |chain, depth, bi| {
+        for (chain[0..depth], 0..) |*h, i| {
+            const p = picks[i * ds.pass_rows + bi];
+            if (p.nonfinite != 0 or p.token >= c.vocab) return error.DraftNonfinite;
+            h.* = p.token;
+        }
+    }
+}
+
+/// Each stream's draft i confidence logit (the final norm's row i, W1 of the token before draft i), for readConfidence.
+fn confidence(x: Enc, streams: usize, n: u32, depth: u32) void {
+    const d = x.d;
+    const e = x.e;
+    x.pipe("lfm2_dspark_confidence");
+    e.setBuffer(d.s.x, 0, 0);
+    e.setBuffer(d.w.w1, 0, 1);
+    e.setBuffer(d.s.ids, 0, 2);
+    e.setBuffer(d.s.picks, 0, 3);
+    e.setBuffer(d.w.confidence.?, 0, 4);
+    const args = ConfidenceArgs{ .n = n, .pass = ds.pass_rows, .vocab = c.vocab, .rank = d.config.rank, .hidden = c.hidden };
+    e.setBytes(std.mem.asBytes(&args), 5);
+    e.setBuffer(d.s.conf, 0, 6);
+    e.dispatchGroups(mtl.Size.of(depth, streams, 1), mtl.Size.of(256, 1, 1));
+}
+
+/// Step i of each stream: its row i's logits plus W2 W1[previous draft] (the pending token first), then the argmax.
+fn markov(x: Enc, streams: usize, n: u32, depth: u32) !void {
+    const d = x.d;
+    const s = &d.s;
+    const e = x.e;
+    for (0..depth) |i| {
+        // step i's previous token: the pending one (each block's first id), then step i - 1's pick
+        switch (d.w.w2) {
+            .codes => x.pipe("lfm2_markov_scan"),
+            .bf16 => x.pipe("lfm2_markov_scan_bf16"),
+        }
+        e.setBuffer(s.logits, i * c.vocab * 2, 0);
+        e.setBuffer(d.w.w1, 0, 1);
+        e.setBuffer(switch (d.w.w2) {
+            .codes => |m| m.w,
+            .bf16 => |m| m.w,
+        }, switch (d.w.w2) {
+            .codes => |m| m.w_off,
+            .bf16 => 0,
+        }, 2);
+        if (i == 0) e.setBuffer(s.ids, 0, 3) else e.setBuffer(s.picks, (i - 1) * ds.pass_rows * @sizeOf(Pick), 3);
+        const args = MarkovArgs{ .stride = n * c.vocab, .rank = d.config.rank, .vocab = c.vocab, .prev_stride = if (i == 0) n else @sizeOf(Pick) / 4 };
+        e.setBytes(std.mem.asBytes(&args), 4);
+        e.setBuffer(s.best, 0, 5);
+        e.setBuffer(s.at, 0, 6);
+        if (d.w.w2 == .codes) {
+            e.setBuffer(d.w.w2.codes.scales, d.w.w2.codes.s_off, 7);
+            e.setBuffer(d.w.w2.codes.biases, d.w.w2.codes.b_off, 8);
+        }
+        e.dispatchGroups(mtl.Size.of(scan_groups, streams, 1), mtl.Size.of(256, 1, 1));
+        x.sync();
+        x.pipe("lfm2_markov_pick");
+        e.setBuffer(s.best, 0, 0);
+        e.setBuffer(s.at, 0, 1);
+        e.setValue(@as(u32, scan_groups), 2);
+        e.setBuffer(s.picks, i * ds.pass_rows * @sizeOf(Pick), 3);
+        e.dispatchGroups(mtl.Size.of(streams, 1, 1), mtl.Size.of(256, 1, 1));
+        x.sync();
+    }
+}
diff --git a/zig/src/families/lfm2_moe/dspark_config.zig b/zig/src/families/lfm2_moe/dspark_config.zig
new file mode 100644
index 0000000000..68acc6d30d
--- /dev/null
+++ b/zig/src/families/lfm2_moe/dspark_config.zig
@@ -0,0 +1,142 @@
+//! LiquidAI's DSpark drafter for LFM2.5-24B-A2B: its config admitted, any other shape refused with its reason.
+const std = @import("std");
+const c = @import("config.zig");
+
+/// The geometry the drafter's kernels take: the target's attention shape, five taps at most eight layers.
+pub const Config = struct {
+    taps: [8]u32 = @splat(0),
+    tap_count: u32,
+    layers: u32,
+    intermediate: u32,
+    /// Rows a block takes: the pending token and block - 1 mask tokens, one draft a row.
+    block: u32,
+    mask: u32,
+    rank: u32,
+    theta: f32,
+
+    pub fn read(gpa: std.mem.Allocator, io: std.Io, dir: []const u8) !Config {
+        const path = try std.fs.path.join(gpa, &.{ dir, "config.json" });
+        defer gpa.free(path);
+        const bytes = try std.Io.Dir.cwd().readFileAlloc(io, path, gpa, .limited(1 << 20));
+        defer gpa.free(bytes);
+        return parse(gpa, bytes);
+    }
+
+    pub fn parse(gpa: std.mem.Allocator, bytes: []const u8) !Config {
+        var parsed = try std.json.parseFromSlice(std.json.Value, gpa, bytes, .{});
+        defer parsed.deinit();
+        const o = if (parsed.value == .object) parsed.value.object else return error.BadDraftConfig;
+        const archs = o.get("architectures") orelse return error.BadDraftConfig;
+        if (archs != .array or archs.array.items.len != 1 or archs.array.items[0] != .string) return error.BadDraftConfig;
+        if (!std.mem.eql(u8, archs.array.items[0].string, "Lfm2DSparkDraftModel")) return error.NotLfmDSpark;
+        const d = if (o.get("dflash_config")) |v| (if (v == .object) v.object else return error.BadDraftConfig) else return error.BadDraftConfig;
+        var out: Config = .{
+            .tap_count = 0,
+            .layers = try small(o, "num_hidden_layers"),
+            .intermediate = try small(o, "intermediate_size"),
+            .block = try small(o, "block_size"),
+            .mask = try small(d, "mask_token_id"),
+            .rank = try small(o, "markov_rank"),
+            .theta = @floatCast(try number(o, "rope_theta")),
+        };
+        // the target's widths: the drafter shares its embedding, head and attention kernels
+        if (try small(o, "hidden_size") != c.hidden or try small(o, "vocab_size") != c.vocab) return error.DraftForAnotherTarget;
+        if (try small(d, "num_target_layers") != c.layers) return error.DraftForAnotherTarget;
+        const heads = try small(o, "num_attention_heads");
+        const kv = try small(o, "num_key_value_heads");
+        if (heads != c.query_heads or kv != c.kv_heads or try small(o, "head_dim") != c.head_dim) return error.UnsupportedDraftShape;
+        if (@as(f32, @floatCast(try number(o, "rms_norm_eps"))) != c.eps) return error.UnsupportedDraftShape;
+        const taps = d.get("target_layer_ids") orelse return error.BadDraftConfig;
+        if (taps != .array or taps.array.items.len == 0 or taps.array.items.len > out.taps.len) return error.BadDraftConfig;
+        for (taps.array.items, 0..) |t, i| {
+            if (t != .integer or t.integer < 0) return error.BadDraftConfig;
+            if (t.integer >= c.layers) return error.DraftForAnotherTarget;
+            out.taps[i] = @intCast(t.integer);
+        }
+        out.tap_count = @intCast(taps.array.items.len);
+        try kinds(o, out.layers);
+        // the block's MLP is the fixed SiLU gate
+        const act = o.get("hidden_act") orelse return error.BadDraftConfig;
+        if (act != .string or !std.mem.eql(u8, act.string, "silu")) return error.UnsupportedDraftActivation;
+        // the vendored defaults decide the block: non-causal attention, interleaved RoPE, a plain Markov head
+        if (o.get("is_causal") != null) return error.UnsupportedDraftMask;
+        const neox = o.get("rope_is_neox_style") orelse return error.BadDraftConfig;
+        if (neox != .bool or neox.bool) return error.UnsupportedDraftRope;
+        const head = o.get("markov_head_type") orelse return error.BadDraftConfig;
+        if (head != .string or !std.mem.eql(u8, head.string, "vanilla")) return error.UnsupportedMarkovHead;
+        if (o.get("sample_from_anchor")) |v| if (v != .bool or !v.bool) return error.UnsupportedDraftAnchor;
+        if (out.layers == 0 or out.layers > 8 or out.block < 2 or out.block > 16) return error.UnsupportedDraftShape;
+        if (out.intermediate == 0 or out.intermediate % 64 != 0 or out.rank == 0 or out.rank > 256 or out.rank % 64 != 0) return error.UnsupportedDraftShape;
+        if (out.mask >= c.vocab or !std.math.isFinite(out.theta) or !(out.theta > 0)) return error.BadDraftConfig;
+        return out;
+    }
+};
+
+/// Every layer full attention (the block's mask has no sliding window).
+fn kinds(o: std.json.ObjectMap, layers: u32) !void {
+    const v = o.get("layer_types") orelse return;
+    if (v != .array or v.array.items.len != layers) return error.BadDraftConfig;
+    for (v.array.items) |k| if (k != .string or !std.mem.eql(u8, k.string, "full_attention")) return error.UnsupportedDraftMask;
+}
+
+fn small(o: std.json.ObjectMap, key: []const u8) !u32 {
+    const v = o.get(key) orelse return error.BadDraftConfig;
+    if (v != .integer or v.integer < 0 or v.integer > std.math.maxInt(u32)) return error.BadDraftConfig;
+    return @intCast(v.integer);
+}
+
+fn number(o: std.json.ObjectMap, key: []const u8) !f64 {
+    const v = o.get(key) orelse return error.BadDraftConfig;
+    return switch (v) {
+        .integer => |i| @floatFromInt(i),
+        .float => |f| f,
+        else => error.BadDraftConfig,
+    };
+}
+
+/// LiquidAI/LFM2.5-24B-A2B-DSpark's config.json at e052e5b1dd10, as released.
+pub const stock =
+    \\{"architectures":["Lfm2DSparkDraftModel"],"model_type":"qwen3","dtype":"bfloat16","hidden_size":2048,
+    \\"num_hidden_layers":5,"num_attention_heads":32,"num_key_value_heads":8,"head_dim":64,"intermediate_size":6144,
+    \\"hidden_act":"silu","rms_norm_eps":1e-05,"vocab_size":128000,"rope_theta":10000000.0,
+    \\"max_position_embeddings":131072,"layer_types":["full_attention","full_attention","full_attention",
+    \\"full_attention","full_attention"],"block_size":9,"dflash_config":{"mask_token_id":125017,
+    \\"target_layer_ids":[2,10,18,26,34],"num_target_layers":40},"markov_rank":256,"rope_is_neox_style":false,
+    \\"enable_confidence_head":true,"markov_head_type":"vanilla"}
+;
+
+fn edited(from: []const u8, to: []const u8) !Config {
+    const a = std.testing.allocator;
+    const text = try std.mem.replaceOwned(u8, a, stock, from, to);
+    defer a.free(text);
+    return Config.parse(a, text);
+}
+
+test "lfm2 dspark: the released config is admitted with its taps, block, mask token and Markov rank" {
+    const cfg = try Config.parse(std.testing.allocator, stock);
+    try std.testing.expectEqualSlices(u32, &.{ 2, 10, 18, 26, 34 }, cfg.taps[0..cfg.tap_count]);
+    try std.testing.expectEqual(@as(u32, 5), cfg.layers);
+    try std.testing.expectEqual(@as(u32, 9), cfg.block);
+    try std.testing.expectEqual(@as(u32, 125017), cfg.mask);
+    try std.testing.expectEqual(@as(u32, 256), cfg.rank);
+    try std.testing.expectEqual(@as(u32, 6144), cfg.intermediate);
+    try std.testing.expectEqual(@as(f32, 1e7), cfg.theta);
+}
+
+test "lfm2 dspark: other drafters and shapes are refused with their reason" {
+    try std.testing.expectError(error.NotLfmDSpark, edited("Lfm2DSparkDraftModel", "DFlashDraftModel"));
+    try std.testing.expectError(error.DraftForAnotherTarget, edited("\"hidden_size\":2048", "\"hidden_size\":4096"));
+    try std.testing.expectError(error.DraftForAnotherTarget, edited("\"num_target_layers\":40", "\"num_target_layers\":24"));
+    try std.testing.expectError(error.DraftForAnotherTarget, edited("26,34]", "26,44]"));
+    try std.testing.expectError(error.UnsupportedDraftShape, edited("\"head_dim\":64", "\"head_dim\":128"));
+    try std.testing.expectError(error.UnsupportedDraftActivation, edited("\"silu\"", "\"gelu\""));
+    try std.testing.expectError(error.UnsupportedDraftRope, edited("\"rope_is_neox_style\":false", "\"rope_is_neox_style\":true"));
+    try std.testing.expectError(error.UnsupportedMarkovHead, edited("\"vanilla\"", "\"gated\""));
+    try std.testing.expectError(error.UnsupportedDraftMask, edited("\"full_attention\"]", "\"sliding_attention\"]"));
+    try std.testing.expectError(error.UnsupportedDraftMask, edited("\"block_size\"", "\"is_causal\":true,\"block_size\""));
+    try std.testing.expectError(error.UnsupportedDraftAnchor, edited("\"block_size\"", "\"sample_from_anchor\":false,\"block_size\""));
+    try std.testing.expectError(error.UnsupportedDraftShape, edited("\"block_size\":9", "\"block_size\":17"));
+    try std.testing.expectError(error.UnsupportedDraftShape, edited("\"markov_rank\":256", "\"markov_rank\":512"));
+    try std.testing.expectError(error.BadDraftConfig, edited("10000000.0", "1e100"));
+    try std.testing.expectError(error.BadDraftConfig, edited("\"mask_token_id\":125017", "\"mask_token_id\":128000"));
+}
diff --git a/zig/src/families/lfm2_moe/dspark_quant.zig b/zig/src/families/lfm2_moe/dspark_quant.zig
new file mode 100644
index 0000000000..a34b52dd20
--- /dev/null
+++ b/zig/src/families/lfm2_moe/dspark_quant.zig
@@ -0,0 +1,118 @@
+//! BF16 drafter rows quantized at load to MLX's affine codes in groups of 64, the layout core/tile_qmm reads.
+const std = @import("std");
+
+/// MLX's affine codes of 64 bf16 values at `bits`: bias the larger edge, scale |edge| / round(|edge| / step).
+pub fn group(x: []const u16, bits: u8, codes: []u8, scale: *u16, bias: *u16) void {
+    var lo: f32 = std.math.inf(f32);
+    var hi: f32 = -std.math.inf(f32);
+    for (x) |v| {
+        lo = @min(lo, toF32(v));
+        hi = @max(hi, toF32(v));
+    }
+    const bins: f32 = @floatFromInt((@as(u32, 1) << @intCast(bits)) - 1);
+    const step = @max(hi - lo, 1e-7) / bins;
+    const from_min = @abs(lo) > @abs(hi);
+    const edge = if (from_min) lo else hi;
+    const q0 = @round(@abs(edge) / step);
+    const s_f: f32 = if (q0 == 0) step else (if (from_min) @abs(edge) else -@abs(edge)) / q0;
+    scale.* = toBf16(s_f);
+    bias.* = toBf16(if (q0 == 0) lo else edge);
+    const s = toF32(scale.*);
+    const b = toF32(bias.*);
+    @memset(codes, 0);
+    for (x, 0..) |v, i| {
+        const q: u8 = @intFromFloat(std.math.clamp(@round((toF32(v) - b) / s), 0, bins));
+        if (bits == 8) codes[i] = q else codes[i / 2] |= q << @intCast((i % 2) * 4);
+    }
+}
+
+pub fn toF32(v: u16) f32 {
+    return @bitCast(@as(u32, v) << 16);
+}
+
+/// Round to nearest even, as MLX casts.
+pub fn toBf16(f: f32) u16 {
+    const b: u32 = @bitCast(f);
+    if ((b & 0x7f80_0000) == 0x7f80_0000) return @truncate(b >> 16);
+    return @truncate((b + 0x7fff + ((b >> 16) & 1)) >> 16);
+}
+
+/// A matrix's codes [n][k * bits / 8], scales and biases [n][k / 64], each written by one thread's rows.
+pub const Job = struct {
+    src: []const u16,
+    k: usize,
+    bits: u8,
+    codes: []u8,
+    scales: []u16,
+    biases: []u16,
+    fn run(j: Job, from: usize, to: usize) void {
+        const groups = j.k / 64;
+        const per = 64 * @as(usize, j.bits) / 8;
+        for (from..to) |r| for (0..groups) |g| {
+            const at = r * groups + g;
+            group(j.src[r * j.k + g * 64 ..][0..64], j.bits, j.codes[at * per ..][0..per], &j.scales[at], &j.biases[at]);
+        };
+    }
+
+    /// The job over its rows on every CPU (at most 16 threads).
+    pub fn all(j: Job, gpa: std.mem.Allocator, rows: usize) !void {
+        const threads = @min(std.Thread.getCpuCount() catch 1, 16);
+        const per = (rows + threads - 1) / threads;
+        const handles = try gpa.alloc(std.Thread, threads);
+        defer gpa.free(handles);
+        var spawned: usize = 0;
+        defer for (handles[0..spawned]) |h| h.join();
+        var at: usize = 0;
+        while (at < rows) : (at += per) {
+            handles[spawned] = try std.Thread.spawn(.{}, run, .{ j, at, @min(rows, at + per) });
+            spawned += 1;
+        }
+    }
+};
+
+/// Head `h`'s interleaved RoPE pairs (2i, 2i + 1) as half-split pairs (i, i + dim / 2): row h * dim + j's source.
+pub fn halfSplit(row: usize, dim: usize) usize {
+    const h = row / dim;
+    const j = row % dim;
+    const half = dim / 2;
+    return h * dim + if (j < half) 2 * j else 2 * (j - half) + 1;
+}
+
+test "lfm2 dspark: 4- and 8-bit codes keep the larger edge exact, as MLX quantizes" {
+    var x: [64]u16 = undefined;
+    for (&x, 0..) |*v, i| v.* = toBf16(@as(f32, @floatFromInt(i)) * 0.125 - 2.0);
+    for ([_]u8{ 4, 8 }) |bits| {
+        var codes: [64]u8 = undefined;
+        var s: u16 = undefined;
+        var b: u16 = undefined;
+        group(&x, bits, codes[0 .. 64 * @as(usize, bits) / 8], &s, &b);
+        try std.testing.expect(toF32(s) < 0 and toF32(b) == 5.875); // the max is the edge: codes descend from it
+        const last: u8 = if (bits == 8) codes[63] else codes[31] >> 4;
+        try std.testing.expectEqual(@as(u8, 0), last);
+        for (x, 0..) |v, i| {
+            const q: u8 = if (bits == 8) codes[i] else (codes[i / 2] >> @intCast((i % 2) * 4)) & 0xf;
+            const back = toF32(s) * @as(f32, @floatFromInt(q)) + toF32(b);
+            try std.testing.expect(@abs(back - toF32(v)) <= @abs(toF32(s)) * 0.51);
+        }
+    }
+}
+
+test "lfm2 dspark: half-split rows rotated by the half-split rule equal interleaved pairs rotated, row for row" {
+    const dim = 64;
+    var x: [2 * dim]f32 = undefined;
+    for (&x, 0..) |*v, i| v.* = @sin(@as(f32, @floatFromInt(i)) * 0.37) * 3;
+    var moved: [2 * dim]f32 = undefined;
+    for (&moved, 0..) |*v, r| v.* = x[halfSplit(r, dim)];
+    const pos: f32 = 1234;
+    for (0..2) |h| for (0..dim / 2) |i| {
+        const angle = pos * std.math.pow(f32, 1e7, -@as(f32, @floatFromInt(i)) / (dim / 2));
+        const cs = @cos(angle);
+        const sn = @sin(angle);
+        const a = x[h * dim + 2 * i];
+        const b = x[h * dim + 2 * i + 1];
+        const l = moved[h * dim + i];
+        const r = moved[h * dim + i + dim / 2];
+        try std.testing.expectEqual(a * cs - b * sn, l * cs - r * sn);
+        try std.testing.expectEqual(a * sn + b * cs, l * sn + r * cs);
+    };
+}
diff --git a/zig/src/families/lfm2_moe/dspark_test.zig b/zig/src/families/lfm2_moe/dspark_test.zig
new file mode 100644
index 0000000000..043a590353
--- /dev/null
+++ b/zig/src/families/lfm2_moe/dspark_test.zig
@@ -0,0 +1,272 @@
+//! The DSpark drafter's kernels on the GPU against host references: taps, the Markov step, half-split RoPE.
+const std = @import("std");
+const mtl = @import("metal");
+const c = @import("config.zig");
+const kernels = @import("kernels.zig");
+const quant = @import("dspark_quant.zig");
+const block = @import("dspark_block.zig");
+const Pick = @import("tree_round_gpu").contract.Pick;
+const ds = @import("dspark.zig");
+const lanes = @import("lanes");
+
+const shared = mtl.ResourceOptions.shared;
+
+pub const Rig = struct {
+    device: mtl.Device,
+    queue: mtl.Queue,
+    k: kernels.Kernels,
+
+    pub fn init() !Rig {
+        const device = mtl.Device.init() catch return error.SkipZigTest;
+        errdefer device.deinit();
+        const queue = try device.queue();
+        errdefer queue.deinit();
+        return .{ .device = device, .queue = queue, .k = try kernels.load(device) };
+    }
+
+    pub fn deinit(r: *Rig) void {
+        r.k.deinit();
+        r.queue.deinit();
+        r.device.deinit();
+    }
+
+    pub fn buffer(r: *Rig, comptime T: type, n: usize) !mtl.Buffer {
+        const b = try r.device.buffer(n * @sizeOf(T), shared);
+        @memset(b.slice(u8, n * @sizeOf(T)), 0);
+        return b;
+    }
+
+    fn run(r: *Rig, comptime key: []const u8, bufs: []const mtl.Buffer, value: anytype, at: usize, grid: [2]usize) !void {
+        const cb = r.queue.commandBuffer();
+        const e = cb.compute(.serial);
+        e.setPipeline(r.k.get(key));
+        for (bufs, 0..) |b, i| e.setBuffer(b, 0, if (i >= at) i + 1 else i);
+        e.setValue(value, at);
+        e.dispatchThreads(mtl.Size.of(grid[0], grid[1], 1), mtl.Size.of(@min(grid[0], 256), 1, 1));
+        e.end();
+        cb.commit();
+        cb.wait();
+        if (cb.failure()) |_| return error.GpuFailed;
+    }
+};
+
+pub fn noise(seed: u64, out: []u16, scale: f32) void {
+    var prng = std.Random.DefaultPrng.init(seed);
+    for (out) |*v| v.* = quant.toBf16((prng.random().float(f32) * 2 - 1) * scale);
+}
+
+test "lfm2 dspark: the tap kernel copies each row's hidden values into its tap's columns, the rest untouched" {
+    var r = try Rig.init();
+    defer r.deinit();
+    const rows = 5;
+    const taps = 3;
+    const h = try r.buffer(u16, rows * c.hidden);
+    defer h.deinit();
+    const out = try r.buffer(u16, rows * taps * c.hidden);
+    defer out.deinit();
+    noise(7, h.slice(u16, rows * c.hidden), 4);
+    try r.run("lfm2_tap", &.{ h, out }, [2]u32{ taps * c.hidden, c.hidden }, 2, .{ c.hidden / 8, rows });
+    const want = h.slice(u16, rows * c.hidden);
+    const got = out.slice(u16, rows * taps * c.hidden);
+    for (0..rows) |row| {
+        try std.testing.expectEqualSlices(u16, want[row * c.hidden ..][0..c.hidden], got[(row * taps + 1) * c.hidden ..][0..c.hidden]);
+        for (got[row * taps * c.hidden ..][0..c.hidden]) |v| try std.testing.expectEqual(@as(u16, 0), v);
+        for (got[(row * taps + 2) * c.hidden ..][0..c.hidden]) |v| try std.testing.expectEqual(@as(u16, 0), v);
+    }
+}
+
+test "lfm2 dspark: a Markov step picks the argmax of bf16(base + bf16(W2 . W1[prev])) over every threadgroup" {
+    var r = try Rig.init();
+    defer r.deinit();
+    const rank = 256;
+    const vocab = 1300; // three scan threadgroups, the last one short
+    const streams = 4;
+    const groups = (vocab + 511) / 512;
+    const w1 = try r.buffer(u16, vocab * rank);
+    defer w1.deinit();
+    noise(11, w1.slice(u16, vocab * rank), 1);
+    const codes = try r.buffer(u8, vocab * rank);
+    defer codes.deinit();
+    for (codes.slice(u8, vocab * rank), 0..) |*q, i| q.* = @truncate(i *% 2654435761 >> 7);
+    const sc = try r.buffer(u16, vocab * rank / 64);
+    defer sc.deinit();
+    const bi = try r.buffer(u16, vocab * rank / 64);
+    defer bi.deinit();
+    noise(12, sc.slice(u16, vocab * rank / 64), 0.01);
+    noise(13, bi.slice(u16, vocab * rank / 64), 0.5);
+    // a token every second word (the picks' layout): inside W1, its last row, past it (a zero row), and a NaN row
+    const ids = try r.buffer(u32, 2 * streams);
+    defer ids.deinit();
+    @memcpy(ids.slice(u32, 2 * streams), &[_]u32{ 17, 9, vocab - 1, 9, vocab + 5, 0, 3, 3 });
+    const logits = try r.buffer(u16, streams * 2 * vocab);
+    defer logits.deinit();
+    noise(14, logits.slice(u16, streams * 2 * vocab), 4);
+    logits.slice(u16, streams * 2 * vocab)[3 * 2 * vocab + 700] = 0x7fc0;
+    const best = try r.buffer(f32, streams * groups);
+    defer best.deinit();
+    const at = try r.buffer(u32, streams * groups);
+    defer at.deinit();
+    const picks = try r.buffer(u32, 2 * streams);
+    defer picks.deinit();
+    const cb = r.queue.commandBuffer();
+    const e = cb.compute(.serial);
+    e.setPipeline(r.k.get("lfm2_markov_scan"));
+    for ([_]mtl.Buffer{ logits, w1, codes, ids }, 0..) |b, i| e.setBuffer(b, 0, i);
+    e.setValue([4]u32{ 2 * vocab, rank, vocab, 2 }, 4);
+    for ([_]mtl.Buffer{ best, at, sc, bi }, 5..) |b, i| e.setBuffer(b, 0, i);
+    e.dispatchGroups(mtl.Size.of(groups, streams, 1), mtl.Size.of(256, 1, 1));
+    e.setPipeline(r.k.get("lfm2_markov_pick"));
+    e.setBuffer(best, 0, 0);
+    e.setBuffer(at, 0, 1);
+    e.setValue(@as(u32, groups), 2);
+    e.setBuffer(picks, 0, 3);
+    e.dispatchGroups(mtl.Size.of(streams, 1, 1), mtl.Size.of(256, 1, 1));
+    e.end();
+    cb.commit();
+    cb.wait();
+    const got = picks.slice(u32, 2 * streams);
+    const base = logits.slice(u16, streams * 2 * vocab);
+    const id_list = ids.slice(u32, 2 * streams);
+    for (0..streams) |s| {
+        if (s == 3) { // the planted NaN: flagged
+            try std.testing.expectEqual(@as(u32, 1), got[2 * s + 1]);
+            continue;
+        }
+        try std.testing.expectEqual(@as(u32, 0), got[2 * s + 1]);
+        const id = id_list[2 * s];
+        var top: f64 = -std.math.inf(f64);
+        var mine: f64 = 0;
+        for (0..vocab) |v| {
+            var dot: f64 = 0;
+            for (0..rank) |i| {
+                const g = (v * rank + i) / 64;
+                const w = @as(f64, quant.toF32(sc.slice(u16, vocab * rank / 64)[g])) * @as(f64, @floatFromInt(codes.slice(u8, vocab * rank)[v * rank + i])) + quant.toF32(bi.slice(u16, vocab * rank / 64)[g]);
+                dot += w * (if (id < vocab) quant.toF32(w1.slice(u16, vocab * rank)[id * rank + i]) else 0);
+            }
+            const score: f64 = quant.toF32(quant.toBf16(quant.toF32(base[s * 2 * vocab + v]) + quant.toF32(quant.toBf16(@floatCast(dot)))));
+            top = @max(top, score);
+            if (v == got[2 * s]) mine = score;
+        }
+        // the pick is the best score, or within two bf16 steps of it where fp32 sums round apart
+        try std.testing.expect(got[2 * s] < vocab and mine >= top - @abs(top) * 0x1p-7);
+    }
+}
+
+test "lfm2 dspark: lfm2_qk on half-split rows and gains gives interleaved RoPE's keys, reordered" {
+    var r = try Rig.init();
+    defer r.deinit();
+    const hd = c.head_dim;
+    const pos: u32 = 777;
+    const theta: f32 = 1e7;
+    var k_il: [c.kv_heads * hd]u16 = undefined;
+    var gain_il: [hd]u16 = undefined;
+    noise(21, &k_il, 2);
+    noise(22, &gain_il, 1.5);
+    const q = try r.buffer(u16, c.query_heads * hd);
+    defer q.deinit();
+    const k = try r.buffer(u16, c.kv_heads * hd);
+    defer k.deinit();
+    const v = try r.buffer(u16, c.kv_heads * hd);
+    defer v.deinit();
+    const qn = try r.buffer(u16, hd);
+    defer qn.deinit();
+    const kn = try r.buffer(u16, hd);
+    defer kn.deinit();
+    for (k.slice(u16, c.kv_heads * hd), 0..) |*x, i| x.* = k_il[quant.halfSplit(i, hd)];
+    for (kn.slice(u16, hd), 0..) |*x, i| x.* = gain_il[quant.halfSplit(i, hd)];
+    @memset(qn.slice(u16, hd), quant.toBf16(1));
+    const cap = 1024;
+    const queries = try r.buffer(u16, c.query_heads * hd);
+    defer queries.deinit();
+    const keys = try r.buffer(u16, c.kv_heads * cap * hd);
+    defer keys.deinit();
+    const values = try r.buffer(u16, c.kv_heads * cap * hd);
+    defer values.deinit();
+    const Args = extern struct { len: u32, cap: u32, eps: f32, log2_theta: f32 };
+    const cb = r.queue.commandBuffer();
+    const e = cb.compute(.serial);
+    e.setPipeline(r.k.get("lfm2_qk"));
+    for ([_]mtl.Buffer{ q, k, v, qn, kn }, 0..) |b, i| e.setBuffer(b, 0, i);
+    const args = Args{ .len = pos, .cap = cap, .eps = c.eps, .log2_theta = std.math.log2(theta) };
+    e.setBytes(std.mem.asBytes(&args), 5);
+    for ([_]mtl.Buffer{ queries, keys, values }, 6..) |b, i| e.setBuffer(b, 0, i);
+    e.dispatchGroups(mtl.Size.of(c.query_heads + c.kv_heads, 1, 1), mtl.Size.of(32, 1, 1));
+    e.end();
+    cb.commit();
+    cb.wait();
+    const got = keys.slice(u16, c.kv_heads * cap * hd);
+    for (0..c.kv_heads) |h| {
+        var ss: f32 = 0;
+        for (0..hd) |i| ss += quant.toF32(k_il[h * hd + i]) * quant.toF32(k_il[h * hd + i]);
+        const inv = 1 / @sqrt(ss / hd + c.eps);
+        for (0..hd / 2) |i| {
+            const angle = @as(f32, pos) * std.math.pow(f32, theta, -@as(f32, @floatFromInt(i)) / (hd / 2));
+            const a = quant.toF32(k_il[h * hd + 2 * i]) * inv * quant.toF32(gain_il[2 * i]);
+            const b = quant.toF32(k_il[h * hd + 2 * i + 1]) * inv * quant.toF32(gain_il[2 * i + 1]);
+            const want = [2]f32{ a * @cos(angle) - b * @sin(angle), a * @sin(angle) + b * @cos(angle) };
+            const at = (h * cap + pos) * hd;
+            const have = [2]f32{ quant.toF32(got[at + i]), quant.toF32(got[at + i + hd / 2]) };
+            for (want, have) |w, x| try std.testing.expect(@abs(w - x) <= 0.02 * @max(1, @abs(w)));
+        }
+    }
+}
+test "lfm2 dspark: a settled hold moves the timed passes at its block counts a tenth of the way to its GPU ms" {
+    var d: ds.Drafter = undefined;
+    const grid = [_]lanes.hold_price.HoldCost{ .{ .streams = 1, .depth = 1, .ms = 1 }, .{ .streams = 4, .depth = 1, .ms = 2 }, .{ .streams = 4, .depth = 4, .ms = 4 }, .{ .streams = 8, .depth = 1, .ms = 3 } };
+    @memcpy(d.holds[0..grid.len], &grid);
+    d.holds_len = grid.len;
+    d.pass_len = 4;
+    d.depths[0..4].* = .{ 1, 1, 1, 1 };
+    d.priceHold(4); // priced 2 ms: the 4-block passes rise by a tenth of the doubling
+    try std.testing.expectApproxEqAbs(@as(f64, 2.2), d.holds[1].ms, 1e-12);
+    try std.testing.expectApproxEqAbs(@as(f64, 4.4), d.holds[2].ms, 1e-12);
+    try std.testing.expectEqual(@as(f64, 1), d.holds[0].ms);
+    try std.testing.expectEqual(@as(f64, 3), d.holds[3].ms);
+    d.pass_len = 6; // between 4 and 8 blocks: both move
+    d.depths[0..6].* = .{ 1, 1, 1, 1, 1, 1 };
+    d.priceHold(0);
+    try std.testing.expectEqual(@as(f64, 2.2), d.holds[1].ms); // no GPU time: nothing learned
+    d.priceHold(2.6 * 2);
+    try std.testing.expect(d.holds[1].ms > 2.2 and d.holds[3].ms > 3 and d.holds[0].ms == 1);
+}
+
+/// lfm2_draft_ids on one pick (token, nonfinite flag) at a stride of 4 words: the id it wrote and the bad flag.
+fn draftIds(r: *Rig, pick: Pick) ![2]u32 {
+    const picks = try r.buffer(u32, 4);
+    defer picks.deinit();
+    const ids = try r.buffer(u32, 1);
+    defer ids.deinit();
+    const bad = try r.buffer(u32, 1);
+    defer bad.deinit();
+    picks.slice(u32, 4)[0] = pick.token;
+    picks.slice(u32, 4)[1] = pick.nonfinite;
+    try r.run("lfm2_draft_ids", &.{ picks, ids, bad }, [4]u32{ 4, 1, c.vocab, 0 }, 1, .{ 1, 1 });
+    return .{ ids.slice(u32, 1)[0], bad.slice(u32, 1)[0] };
+}
+
+test "lfm2 dspark: held ids carry a flagged or invalid pick as token 0 and the bad flag, a good pick untouched" {
+    var r = try Rig.init();
+    defer r.deinit();
+    try std.testing.expectEqual([2]u32{ 5, 0 }, try draftIds(&r, .{ .token = 5 }));
+    try std.testing.expectEqual([2]u32{ c.vocab - 1, 0 }, try draftIds(&r, .{ .token = c.vocab - 1 }));
+    for ([_]u32{ 1, 2, 4, 7 }) |kind| try std.testing.expectEqual([2]u32{ 0, 1 }, try draftIds(&r, .{ .token = 9, .nonfinite = kind }));
+    try std.testing.expectEqual([2]u32{ 0, 1 }, try draftIds(&r, .{ .token = std.math.maxInt(u32) }));
+    try std.testing.expectEqual([2]u32{ 0, 1 }, try draftIds(&r, .{ .token = c.vocab }));
+}
+
+test "lfm2 dspark: a settled hold refuses a NaN, infinity or invalid pick as the synchronous path does" {
+    var picks: [4 * ds.pass_rows]Pick = @splat(.{ .token = 3 });
+    var a: [4]u32 = undefined;
+    var b: [4]u32 = undefined;
+    const chains = [_][]u32{ &a, &b };
+    try block.copyPicks(&picks, &chains, &.{ 2, 2 });
+    try std.testing.expectEqualSlices(u32, &.{ 3, 3 }, a[0..2]);
+    const bad = [_]Pick{ .{ .token = 3, .nonfinite = 1 }, .{ .token = 3, .nonfinite = 2 }, .{ .token = 3, .nonfinite = 4 }, .{ .token = std.math.maxInt(u32) }, .{ .token = c.vocab } };
+    for (bad) |p| {
+        picks[ds.pass_rows + 1] = p; // the second block's second step
+        try std.testing.expectError(error.DraftNonfinite, block.copyPicks(&picks, &chains, &.{ 2, 2 }));
+        picks[ds.pass_rows + 1] = .{ .token = 3 };
+    }
+    picks[3 * ds.pass_rows] = .{ .nonfinite = 1 }; // a step past the block's depth is not read
+    try block.copyPicks(&picks, &chains, &.{ 2, 2 });
+}
diff --git a/zig/src/families/lfm2_moe/dspark_weights.zig b/zig/src/families/lfm2_moe/dspark_weights.zig
new file mode 100644
index 0000000000..9d87dd6eed
--- /dev/null
+++ b/zig/src/families/lfm2_moe/dspark_weights.zig
@@ -0,0 +1,178 @@
+//! The DSpark drafter's weights: the released bf16 linears as stored, or on request quantized to 8-bit affine codes.
+const std = @import("std");
+const mtl = @import("metal");
+const c = @import("config.zig");
+const dc = @import("dspark_config.zig");
+const quant = @import("dspark_quant.zig");
+const ckpt = @import("../../core/checkpoint_metal.zig");
+const shards = @import("../../core/checkpoint.zig");
+const tile = @import("../../core/tile_qmm.zig");
+
+const shared = mtl.ResourceOptions.shared | mtl.ResourceOptions.untracked;
+
+/// An [n, k] bf16 matrix as released (rows only reordered for half-split RoPE where the checkpoint is read).
+pub const Bf16 = struct { w: mtl.Buffer, n: usize, k: usize };
+
+/// A linear: bf16 as stored (bits 0), or MLX affine codes at the loader's width.
+pub const Linear = union(enum) { bf16: Bf16, codes: tile.Matrix };
+
+/// A bf16 vector in its own buffer (norm gains; RoPE-paired ones in the half-split order the kernels rotate).
+pub const Vector = mtl.Buffer;
+
+pub const Layer = struct {
+    q: Linear,
+    k: Linear,
+    v: Linear,
+    o: Linear,
+    gate: Linear,
+    up: Linear,
+    down: Linear,
+    input_norm: Vector,
+    post_norm: Vector,
+    q_norm: Vector,
+    k_norm: Vector,
+};
+
+pub const Weights = struct {
+    fc: Linear,
+    hidden_norm: Vector,
+    norm: Vector,
+    layers: [8]Layer,
+    /// The Markov head: W1 [vocab, rank] bf16 as stored (rows gathered by token), W2 [vocab, rank] as the linears.
+    w1: mtl.Buffer,
+    w2: Linear,
+    /// The confidence head: its [hidden + rank] bf16 weights and fp32 bias (null: the checkpoint has none).
+    confidence: ?mtl.Buffer = null,
+    confidence_bias: f32 = 0,
+    owned: std.ArrayList(mtl.Buffer) = .empty,
+
+    pub fn deinit(w: *Weights, gpa: std.mem.Allocator) void {
+        for (w.owned.items) |b| b.deinit();
+        w.owned.deinit(gpa);
+    }
+
+    /// Every buffer the weights hold, for a residency set.
+    pub fn buffers(w: *const Weights) []const mtl.Buffer {
+        return w.owned.items;
+    }
+};
+
+const Loader = struct {
+    gpa: std.mem.Allocator,
+    device: mtl.Device,
+    check: *const ckpt.Checkpoint,
+    stage: *ckpt.Stage, // a matrix read from the file, one at a time, into one reused buffer
+    owned: *std.ArrayList(mtl.Buffer),
+    bits: u8,
+
+    fn buffer(l: Loader, bytes: usize) !mtl.Buffer {
+        const b = try l.device.buffer(bytes, shared);
+        errdefer b.deinit();
+        try l.owned.append(l.gpa, b);
+        return b;
+    }
+
+    /// A vector as loaded, or a matrix read into the stage (valid until the next matrix), of `shape` in bf16.
+    fn tensor(l: Loader, name: []const u8, shape: []const usize) !ckpt.Tensor {
+        l.stage.reset();
+        if (shape.len == 2) try l.stage.reserve(l.check, &.{name});
+        const t = if (shape.len == 2) try l.stage.read(l.check, name) else try l.check.get(name);
+        if (t.dtype != .bf16 or t.rank != shape.len or !std.mem.eql(usize, t.shape[0..t.rank], shape)) {
+            std.log.err("{s}: unexpected DSpark tensor dtype or shape", .{name});
+            return error.BadDraftWeight;
+        }
+        return t;
+    }
+
+    /// A bf16 vector copied out, its pairs reordered for half-split RoPE when `paired`.
+    fn vector(l: Loader, name: []const u8, len: usize, paired: bool) !Vector {
+        const src = (try l.tensor(name, &.{len})).host(u16);
+        const b = try l.buffer(len * 2);
+        const dst = b.slice(u16, len);
+        for (dst, 0..) |*v, i| v.* = src[if (paired) quant.halfSplit(i, len) else i];
+        return b;
+    }
+
+    /// An [n, k] bf16 matrix as it is or as affine codes; rows reordered for half-split RoPE when `paired`.
+    fn matrix(l: Loader, name: []const u8, n: usize, k: usize, paired: bool) !Linear {
+        const t = try l.tensor(name, &.{ n, k });
+        var rows = t.host(u16);
+        var moved: ?[]u16 = null;
+        defer if (moved) |m| l.gpa.free(m);
+        if (paired) {
+            const m = try l.gpa.alloc(u16, n * k);
+            moved = m;
+            for (0..n) |r| @memcpy(m[r * k ..][0..k], rows[quant.halfSplit(r, c.head_dim) * k ..][0..k]);
+            rows = m;
+        }
+        if (l.bits == 0) {
+            const b = try l.buffer(n * k * 2);
+            @memcpy(b.slice(u16, n * k), rows);
+            return .{ .bf16 = .{ .w = b, .n = n, .k = k } };
+        }
+        const codes = try l.buffer(n * k * l.bits / 8);
+        const scales = try l.buffer(n * k / 64 * 2);
+        const biases = try l.buffer(n * k / 64 * 2);
+        const job: quant.Job = .{ .src = rows, .k = k, .bits = l.bits, .codes = codes.slice(u8, n * k * l.bits / 8), .scales = scales.slice(u16, n * k / 64), .biases = biases.slice(u16, n * k / 64) };
+        try job.all(l.gpa, n);
+        return .{ .codes = .{ .w = codes, .scales = scales, .biases = biases, .n = n, .k = k, .bits = l.bits } };
+    }
+};
+
+fn part(buf: []u8, layer: usize, name: []const u8) ![]const u8 {
+    return std.fmt.bufPrint(buf, "layers.{d}.{s}.weight", .{ layer, name });
+}
+
+/// Matrices stay in the file until the loader reads them; vectors load with the header.
+fn matrices(_: []const u8, rank: usize) bool {
+    return rank == 2;
+}
+
+/// The checkpoint read as released (`bits` 0) or quantized to 8-bit codes, a matrix at a time; buffers freed after.
+pub fn load(gpa: std.mem.Allocator, device: mtl.Device, io: std.Io, dir: []const u8, cfg: *const dc.Config, bits: u8) !Weights {
+    if (bits != 0 and bits != 8) return error.UnsupportedDraftBits;
+    var check = ckpt.Checkpoint.init(gpa);
+    defer check.deinit();
+    var stage: ckpt.Stage = .{ .device = device };
+    defer stage.deinit();
+    const files = try shards.shardFiles(gpa, io, dir);
+    defer shards.freeShardFiles(gpa, files);
+    for (files) |path| try check.addFileSplit(device, path, "", null, matrices);
+    var w: Weights = undefined;
+    w.owned = .empty;
+    errdefer w.deinit(gpa);
+    const l: Loader = .{ .gpa = gpa, .device = device, .check = &check, .stage = &stage, .owned = &w.owned, .bits = bits };
+    const qw = c.query_heads * c.head_dim;
+    const kw = c.kv_heads * c.head_dim;
+    w.fc = try l.matrix("fc.weight", c.hidden, cfg.tap_count * c.hidden, false);
+    w.hidden_norm = try l.vector("hidden_norm.weight", c.hidden, false);
+    w.norm = try l.vector("norm.weight", c.hidden, false);
+    var name: [128]u8 = undefined;
+    for (w.layers[0..cfg.layers], 0..) |*ly, i| {
+        ly.q = try l.matrix(try part(&name, i, "self_attn.q_proj"), qw, c.hidden, true);
+        ly.k = try l.matrix(try part(&name, i, "self_attn.k_proj"), kw, c.hidden, true);
+        ly.v = try l.matrix(try part(&name, i, "self_attn.v_proj"), kw, c.hidden, false);
+        ly.o = try l.matrix(try part(&name, i, "self_attn.o_proj"), c.hidden, qw, false);
+        ly.gate = try l.matrix(try part(&name, i, "mlp.gate_proj"), cfg.intermediate, c.hidden, false);
+        ly.up = try l.matrix(try part(&name, i, "mlp.up_proj"), cfg.intermediate, c.hidden, false);
+        ly.down = try l.matrix(try part(&name, i, "mlp.down_proj"), c.hidden, cfg.intermediate, false);
+        ly.input_norm = try l.vector(try part(&name, i, "input_layernorm"), c.hidden, false);
+        ly.post_norm = try l.vector(try part(&name, i, "post_attention_layernorm"), c.hidden, false);
+        ly.q_norm = try l.vector(try part(&name, i, "self_attn.q_norm"), c.head_dim, true);
+        ly.k_norm = try l.vector(try part(&name, i, "self_attn.k_norm"), c.head_dim, true);
+    }
+    const w1 = (try l.tensor("markov_head.markov_w1.weight", &.{ c.vocab, cfg.rank })).host(u16);
+    w.w1 = try l.buffer(c.vocab * cfg.rank * 2);
+    @memcpy(w.w1.slice(u16, c.vocab * cfg.rank), w1);
+    w.w2 = try l.matrix("markov_head.markov_w2.weight", c.vocab, cfg.rank, false);
+    w.confidence = null;
+    w.confidence_bias = 0;
+    if (check.has("confidence_head.proj.weight")) {
+        const width = c.hidden + cfg.rank; // the final norm's row, then W1 of the token before the draft
+        const proj = (try l.tensor("confidence_head.proj.weight", &.{ 1, width })).host(u16);
+        w.confidence = try l.buffer(width * 2);
+        @memcpy(w.confidence.?.slice(u16, width), proj);
+        w.confidence_bias = quant.toF32((try l.tensor("confidence_head.proj.bias", &.{1})).host(u16)[0]);
+    }
+    return w;
+}
diff --git a/zig/src/families/lfm2_moe/forward.zig b/zig/src/families/lfm2_moe/forward.zig
index 212b5978bc..51408e2fd4 100644
--- a/zig/src/families/lfm2_moe/forward.zig
+++ b/zig/src/families/lfm2_moe/forward.zig
@@ -118,7 +118,17 @@ pub fn matrix(w: row.Weights) tile.Matrix {
     return .{ .w = w.w, .w_off = w.w_off, .scales = w.scales, .s_off = w.s_off, .biases = w.biases, .b_off = w.b_off, .n = w.n, .k = w.k, .bits = w.bits };
 }
 
+/// A window's held drafts on the device: `count` tokens at `src` + `off`, `stride` words apart, into ids from `row`.
+pub const Held = struct { row: usize, src: Buffer, off: usize, stride: u32, count: u32 };
+/// A GPU event the forward waits on before it reads held drafts, and the value it waits for.
+pub const Wait = struct { event: mtl.Event, value: u64 };
+
 pub fn run(m: *Model, s: *st.Scratch, segments: []const Segment, tokens: []const u32, record: bool, head: Head) !void {
+    return runHeld(m, s, segments, tokens, record, head, &.{}, null);
+}
+
+/// `run` with held drafts copied into the rows' ids on the GPU first (after `wait`): their host ids are ignored.
+pub fn runHeld(m: *Model, s: *st.Scratch, segments: []const Segment, tokens: []const u32, record: bool, head: Head, held: []const Held, wait: ?Wait) !void {
     if (tokens.len == 0 or tokens.len > s.rows or (record and tokens.len > st.batch_rows)) return error.LfmRowsExceeded;
     var total: usize = 0;
     for (segments) |seg| {
@@ -131,10 +141,20 @@ pub fn run(m: *Model, s: *st.Scratch, segments: []const Segment, tokens: []const
     const pool = mtl.objc.Pool.push();
     defer pool.pop();
     const cb = m.queue.commandBuffer();
+    if (wait) |w| cb.waitForEvent(w.event, w.value);
     const prompt = (!record and head == .last) or total >= tile_rows;
     const e = cb.compute(.serial);
     const plan = if (segs.batched(record, segments.len)) segs.prepare(e, s, segments) else null;
     const enc = Encoder{ .e = e, .m = m, .s = s, .prompt = prompt, .record = record, .plan = plan };
+    if (held.len > 0) @memset(s.bad.contents()[0..4], 0);
+    for (held) |h| {
+        enc.pipe("lfm2_draft_ids");
+        e.setBuffer(h.src, h.off, 0);
+        e.setValue([4]u32{ h.stride, h.count, c.vocab, 0 }, 1);
+        e.setBuffer(s.ids, h.row * 4, 2);
+        e.setBuffer(s.bad, 0, 3);
+        enc.threads(.{ h.count, 1, 1 }, .{ 32, 1, 1 });
+    }
     const embedding = m.weights.embedding;
     e.setPipeline(m.kernels.embed(embedding.bits));
     e.setBuffer(s.ids, 0, 0);
@@ -146,6 +166,7 @@ pub fn run(m: *Model, s: *st.Scratch, segments: []const Segment, tokens: []const
     for (m.weights.blocks, 0..) |block, i| {
         enc.norm(s, block.operator_norm, i == 0, total, combine);
         combine = false;
+        if (i > 0) tap(enc, s, i - 1, total);
         switch (block.mixer) {
             .conv => |cv| conv(enc, s, cv, i, segments, total),
             .attention => |a| attention(enc, s, a, &m.config, segments, i, total),
@@ -162,6 +183,7 @@ pub fn run(m: *Model, s: *st.Scratch, segments: []const Segment, tokens: []const
         }
     }
     enc.norm(s, m.weights.norm, false, total, combine);
+    tap(enc, s, c.layers - 1, total);
     if (head == .all) {
         enc.projection(embedding, s.x, 0, s.logits, 0, total);
         enc.pipe("lfm2_argmax");
@@ -178,6 +200,7 @@ pub fn run(m: *Model, s: *st.Scratch, segments: []const Segment, tokens: []const
         std.debug.print("LFM2 forward: {s}\n", .{msg});
         return error.GpuFailed;
     }
+    if (held.len > 0 and std.mem.readInt(u32, s.bad.contents()[0..4], .little) != 0) return error.DraftNonfinite;
     var base: usize = 0;
     for (segments) |seg| {
         const logit_row = if (head == .all) base + seg.rows - 1 else 0;
@@ -187,6 +210,18 @@ pub fn run(m: *Model, s: *st.Scratch, segments: []const Segment, tokens: []const
     }
 }
 
+/// Layer `layer`'s output rows (h, just summed by the next norm) into each tap of it, when a drafter reads them.
+fn tap(enc: Encoder, s: *st.Scratch, layer: usize, total: usize) void {
+    const taps = s.taps orelse return;
+    for (taps.layers[0..taps.count], 0..) |l, t| if (l == layer) {
+        enc.pipe("lfm2_tap");
+        enc.e.setBuffer(s.h, 0, 0);
+        enc.e.setBuffer(taps.buf, 0, 1);
+        enc.e.setValue([2]u32{ taps.count * c.hidden, @intCast(t * c.hidden) }, 2);
+        enc.threads(.{ c.hidden / 8, total, 1 }, .{ 256, 1, 1 });
+    };
+}
+
 fn conv(enc: Encoder, s: *st.Scratch, cv: wts.Conv, layer: usize, segments: []const Segment, total: usize) void {
     const e = enc.e;
     enc.projection(cv.in, s.x, 0, s.bcx, 0, total);
diff --git a/zig/src/families/lfm2_moe/kernels.zig b/zig/src/families/lfm2_moe/kernels.zig
index aa1e798fc0..c83c9a0b4a 100644
--- a/zig/src/families/lfm2_moe/kernels.zig
+++ b/zig/src/families/lfm2_moe/kernels.zig
@@ -16,6 +16,8 @@ const names = [_][:0]const u8{
     "lfm2_attn_mma",
     "lfm2_attn_mma_r2",
     "lfm2_attn_merge",
+    "lfm2_attn_block",
+    "lfm2_attn_block_merge",
     "lfm2_route_logits",
     "lfm2_route_select",
     "lfm2_swiglu",
@@ -27,6 +29,14 @@ const names = [_][:0]const u8{
     "lfm2_qk_segs",
     "lfm2_attn_segs",
     "lfm2_attn_merge_segs",
+    "lfm2_tap",
+    "lfm2_markov_scan",
+    "lfm2_markov_scan_bf16",
+    "lfm2_bf16_rows",
+    "lfm2_bf16_mma",
+    "lfm2_markov_pick",
+    "lfm2_draft_ids",
+    "lfm2_dspark_confidence",
 };
 
 pub const Kernels = struct {
diff --git a/zig/src/families/lfm2_moe/lfm2_moe.zig b/zig/src/families/lfm2_moe/lfm2_moe.zig
index 97f9cbd5d8..8f861e31b4 100644
--- a/zig/src/families/lfm2_moe/lfm2_moe.zig
+++ b/zig/src/families/lfm2_moe/lfm2_moe.zig
@@ -7,3 +7,7 @@ pub const state = @import("state.zig");
 pub const forward = @import("forward.zig");
 pub const backend = @import("backend.zig");
 pub const snapshot = @import("snapshot.zig");
+pub const dspark = @import("dspark.zig");
+pub const dspark_config = @import("dspark_config.zig");
+pub const dspark_block = @import("dspark_block.zig");
+pub const dspark_quant = @import("dspark_quant.zig");
diff --git a/zig/src/families/lfm2_moe/snapshot.zig b/zig/src/families/lfm2_moe/snapshot.zig
index d1c1a8b3ae..d7289331b7 100644
--- a/zig/src/families/lfm2_moe/snapshot.zig
+++ b/zig/src/families/lfm2_moe/snapshot.zig
@@ -4,7 +4,7 @@ const c = @import("config.zig");
 const st = @import("state.zig");
 
 /// One state: conv states by conv layer, then keys and values [kv head][at][head dim] by attention layer.
-pub const Snap = struct { at: u32, bytes: []u8 };
+pub const Snap = struct { at: u32, bytes: []u8, draft: ?[]u8 = null };
 
 /// A row's keys or values for every kv head of one attention layer.
 const row_bytes = c.kv_heads * c.head_dim * 2;
@@ -56,6 +56,7 @@ pub fn restore(cache: *st.Cache, snap: *const Snap) !void {
 }
 
 pub fn drop(gpa: std.mem.Allocator, snap: *Snap) void {
+    if (snap.draft) |d| gpa.free(d); // the drafter's context at `at`, when one was kept with the state
     gpa.free(snap.bytes);
     gpa.destroy(snap);
 }
diff --git a/zig/src/families/lfm2_moe/state.zig b/zig/src/families/lfm2_moe/state.zig
index 3242d8bf26..883f670fbe 100644
--- a/zig/src/families/lfm2_moe/state.zig
+++ b/zig/src/families/lfm2_moe/state.zig
@@ -51,6 +51,12 @@ pub const Storage = struct {
 };
 
 pub const Attention = struct { keys: mtl.Buffer, values: mtl.Buffer };
+/// Layers a drafter reads at most (each layer's output, hidden wide).
+pub const max_taps = 8;
+/// The drafter's layers in its order and every forward row's outputs of them, [rows][count][hidden] bf16.
+pub const Taps = struct { layers: [max_taps]u32 = @splat(0), count: u32 = 0, buf: mtl.Buffer };
+/// Where a stream's latest tapped rows sit in the scratch: cache rows [start, start + rows) from scratch row `row`.
+pub const TapRows = struct { start: usize, row: usize, rows: usize, gen: u64 };
 pub const Mixer = union(enum) { conv: mtl.Buffer, attention: Attention };
 
 pub const Cache = struct {
@@ -60,6 +66,9 @@ pub const Cache = struct {
     last: ?struct { start: usize, base: usize, rows: usize } = null,
     blocks: [c.layers]Mixer,
     logits: mtl.Buffer,
+    /// The stream's latest tapped rows in the scratch, and its prompt's last row's taps (kept for the first draft).
+    tap: ?TapRows = null,
+    last_tap: ?mtl.Buffer = null,
 
     pub fn init(gpa: std.mem.Allocator, device: mtl.Device, attention: *const [c.layers]bool, capacity: usize) !Cache {
         var out: Cache = .{ .memory = .{ .gpa = gpa, .device = device }, .capacity = capacity, .blocks = undefined, .logits = undefined };
@@ -110,6 +119,7 @@ pub const Scratch = struct {
     memory: Storage,
     rows: usize,
     ids: mtl.Buffer,
+    bad: mtl.Buffer, // set by lfm2_draft_ids when a held pick is flagged nonfinite or past the vocabulary
     h: mtl.Buffer,
     x: mtl.Buffer,
     r: mtl.Buffer,
@@ -148,6 +158,8 @@ pub const Scratch = struct {
     segs: mtl.Buffer,
     rowseg: mtl.Buffer,
     tiles: mtl.Buffer,
+    /// A drafter's taps of every row, once the backend is told its layers (null: none kept).
+    taps: ?Taps = null,
 
     pub fn init(gpa: std.mem.Allocator, device: mtl.Device, attention: *const [c.layers]bool, rows: usize) !Scratch {
         var out: Scratch = undefined;
@@ -155,9 +167,11 @@ pub const Scratch = struct {
         errdefer out.memory.deinit();
         out.rows = rows;
         out.snapshots = @splat(null);
+        out.taps = null;
         const mem = &out.memory;
         const slots = rows * c.topk;
         out.ids = try mem.alloc(rows * 4);
+        out.bad = try mem.alloc(4);
         inline for (.{ "h", "x", "r", "y", "q" }) |name| @field(out, name) = try mem.alloc(rows * c.hidden * 2);
         out.queries = try mem.alloc((rows + attn_rows) * c.hidden * 2); // a prompt attention tile reads attn_rows from its first
         out.bcx = try mem.alloc(rows * 3 * c.hidden * 2);
diff --git a/zig/src/native/cuda_options.zig b/zig/src/native/cuda_options.zig
index d6a6eefe28..0c07152bdb 100644
--- a/zig/src/native/cuda_options.zig
+++ b/zig/src/native/cuda_options.zig
@@ -36,6 +36,10 @@ pub fn set(comptime F: type, o: api.Open, opts: *F.Options, problem: *[]const u8
             return false;
         };
     }
+    if (o.drafter_bits_given and o.drafter_bits == 8) {
+        problem.* = "--drafter-bits 8: only LFM2.5-24B-A2B's Metal DSpark drafter takes it; this family takes 0 (bf16) or 4";
+        return false;
+    }
     if (comptime @hasField(F.Options, "drafter")) opts.drafter = o.drafter;
     if (comptime @hasField(F.Options, "drafter_bits")) opts.drafter_bits = o.drafter_bits;
     if (@hasField(F.Options, "kv8")) opts.kv8 = o.kv8;
diff --git a/zig/src/native/draft_sources_metal_test.zig b/zig/src/native/draft_sources_metal_test.zig
index 2bd5851477..0c295d80f4 100644
--- a/zig/src/native/draft_sources_metal_test.zig
+++ b/zig/src/native/draft_sources_metal_test.zig
@@ -20,6 +20,7 @@ test "draft sources: Metal Qwen2B and LFM2 MoE follow qualified verification wid
     q.options.streams = 2;
     l.options.streams = 2;
     l.timed = 0;
+    l.shared_timed = 0;
     for ([_]u32{ 1, 16 }) |width| {
         q.width = width;
         l.width = width;
diff --git a/zig/src/native/lfm2_moe.zig b/zig/src/native/lfm2_moe.zig
index 5340d807de..3734c41a3c 100644
--- a/zig/src/native/lfm2_moe.zig
+++ b/zig/src/native/lfm2_moe.zig
@@ -1,4 +1,4 @@
-//! LFM2-MoE served by the existing lane host and scheduler.
+//! LFM2-MoE served by the existing lane host and scheduler, with LiquidAI's DSpark drafter from --drafter.
 const std = @import("std");
 const mtl = @import("metal");
 const api = @import("engine_api");
@@ -8,11 +8,16 @@ const lanes = tf.lanes;
 const cache_fit = @import("cache_fit.zig");
 const metal_admit = @import("metal_admit.zig");
 
+/// --drafter loads LiquidAI's DSpark drafter (LiquidAI/LFM2.5-24B-A2B-DSpark) in front of the engine.
+pub const takes_drafter = true;
+
 const Host = struct {
     resident: ?mtl.resident.Resident = null,
     gpa: std.mem.Allocator,
     model: *q.Model,
     metal: *q.backend.Metal,
+    draft: ?*q.dspark.Drafter = null,
+    wrap: ?lanes.drafted.Drafted = null,
     warm: mtl.keepalive.Target = undefined, // the model's queue, for the lane host's idle ticker
     config: lanes.Config,
     clock: lanes.backend.WallClock,
@@ -25,7 +30,9 @@ const Host = struct {
         h.host.stop();
         if (h.cache) |*store| store.deinit();
         h.core.deinit();
+        if (h.wrap) |*w| w.deinit();
         mtl.resident.streams.drop(h);
+        if (h.draft) |d| d.deinit();
         h.config.deinit(h.gpa);
         h.metal.deinit();
         h.model.deinit();
@@ -35,6 +42,13 @@ const Host = struct {
 
 const cannot = "the native LFM2 engine cannot load this checkpoint ({s})";
 
+/// A refused open's backend, model and host, freed before it reports why.
+fn release(h: *Host) void {
+    h.metal.deinit();
+    h.model.deinit();
+    h.gpa.destroy(h);
+}
+
 pub fn open(a: std.mem.Allocator, gpa: std.mem.Allocator, io: std.Io, o: api.Open, problem: *[]const u8) !?api.Opened {
     const pool = mtl.objc.Pool.push();
     defer pool.pop();
@@ -65,18 +79,49 @@ pub fn open(a: std.mem.Allocator, gpa: std.mem.Allocator, io: std.Io, o: api.Ope
     const chunk = 2048;
     h.metal = try q.backend.Metal.init(gpa, model, .{ .capacity = window, .chunk = chunk, .streams = @max(o.lanes, 2) });
     errdefer h.metal.deinit();
-    const per_stream = q.state.cacheBytes(&model.config.attention, window);
+    h.draft = null;
+    h.wrap = null;
+    if (if (o.drafts) o.drafter else null) |dir| {
+        if (h.metal.width == 1) {
+            problem.* = "--drafter: LFM2 wider lanes failed the local exactness check; drafts require verified wider lanes";
+            release(h);
+            return null;
+        }
+        const bits: u8 = if (o.drafter_bits_given) o.drafter_bits else 0;
+        if (bits != 0 and bits != 8) {
+            problem.* = "--drafter-bits: the LFM2 DSpark drafter takes 0 (bf16 as released, the default) or 8 (8-bit codes quantized at load)";
+            release(h);
+            return null;
+        }
+        h.draft = q.dspark.Drafter.init(gpa, io, model, dir, .{ .capacity = window, .bits = bits }) catch |err| {
+            problem.* = try std.fmt.allocPrint(a, "the native LFM2 drafter cannot load {s} ({s}): it takes LiquidAI/LFM2.5-24B-A2B-DSpark", .{ dir, @errorName(err) });
+            release(h);
+            return null;
+        };
+    }
+    errdefer if (h.draft) |d| d.deinit();
+    // a stream's caches, and its drafter lane when one drafts
+    const per_stream = q.state.cacheBytes(&model.config.attention, window) + if (h.draft) |d| d.laneBytes(window) else 0;
     const served = try metal_admit.streams(a, "lfm2", per_stream, metal_admit.room(model.device), o, window, problem) orelse {
-        h.metal.deinit();
-        model.deinit();
-        gpa.destroy(h);
+        if (h.draft) |d| d.deinit();
+        release(h);
         return null;
     };
     h.metal.options.streams = @max(served, 2);
-    h.config = try lanes.Config.init(gpa, h.metal.facts(), q.state.window_rows, q.state.window_rows - 1);
+    if (h.draft) |d| {
+        h.wrap = try lanes.drafted.Drafted.init(gpa, h.metal.backend(), d.drafter());
+        // the verify copies the drafts on the GPU after the unwaited hold
+        h.metal.held_source = d.heldSource();
+        h.wrap.?.held_on_target = true;
+    }
+    errdefer if (h.wrap) |*w| w.deinit();
+    var facts = if (h.wrap) |*w| w.facts(h.metal.facts()) else h.metal.facts();
+    // a drafting stream prices its copy windows by its own copies: on distinct prompts they keep breaking
+    if (h.wrap != null) facts.own_copy_rates = true;
+    h.config = try lanes.Config.init(gpa, facts, q.state.window_rows, q.state.window_rows - 1);
     errdefer h.config.deinit(gpa);
     h.clock = .{ .io = io };
-    h.core = lanes.Engine.init(gpa, &h.config, h.metal.backend(), h.clock.clock());
+    h.core = lanes.Engine.init(gpa, &h.config, if (h.wrap) |*w| w.backend() else h.metal.backend(), h.clock.clock());
     errdefer h.core.deinit();
     h.host = api.LaneHost.init(gpa, io, &h.core, .{ .lanes = served, .context_window = @intCast(window), .prefill_step = chunk, .structures = true });
     h.cache = null;
@@ -97,8 +142,8 @@ pub fn open(a: std.mem.Allocator, gpa: std.mem.Allocator, io: std.Io, o: api.Ope
     if (plan.budget_bytes > 0) {
         const S = q.backend.Snaps;
         h.cache = api.prompt_cache.Store.init(gpa, .{
-            .ptr = h.metal,
-            .vtable = &.{ .bytes = S.bytes, .save = S.save, .restore = S.restore, .drop = S.drop },
+            .ptr = h,
+            .vtable = &.{ .bytes = Snaps.bytes, .save = Snaps.save, .restore = S.restore, .drop = Snaps.drop },
         }, .{ .chunk = chunk }, plan.budget_bytes);
         h.host.cache = &h.cache.?;
         h.host.info_.prompt_cache = true;
@@ -106,7 +151,40 @@ pub fn open(a: std.mem.Allocator, gpa: std.mem.Allocator, io: std.Io, o: api.Ope
     errdefer if (h.cache) |*store| store.deinit();
     try mtl.resident.streams.hold(h, io, "lfm2 moe");
     errdefer mtl.resident.streams.drop(h);
+    if (h.draft) |d| if (h.resident) |*r| {
+        const held = try d.buffers(gpa);
+        defer gpa.free(held);
+        r.add(held);
+    };
     h.host.keepalive_target = .{ .ctx = &h.warm, .tick = mtl.keepalive.Target.tick };
     try h.host.start();
+    if (h.draft) |d| {
+        const mode = if (d.options.bits == 8) "8-bit codes quantized at load (--drafter-bits 8), not the released bf16" else "bf16 matrices as released";
+        std.log.info("lfm2: DSpark drafts from --drafter, {d} a round at most, {s}", .{ d.config.block, mode });
+    }
     return .{ .engine = h.host.engine(), .close = Host.close, .ctx = h };
 }
+
+/// The prompt cache's copies of a stream: the target's state at a mark (backend.zig), and the drafter's context there.
+const Snaps = struct {
+    const S = q.backend.Snaps;
+    fn host(ptr: *anyopaque) *Host {
+        return @ptrCast(@alignCast(ptr));
+    }
+    fn bytes(ptr: *anyopaque, at: u32) u64 {
+        const h = host(ptr);
+        return S.bytes(h.metal, at) + if (h.draft) |d| d.keptBytes(at) else 0;
+    }
+    fn save(ptr: *anyopaque, owner: ?*anyopaque, at: u32) anyerror!*anyopaque {
+        const h = host(ptr);
+        const saved = try S.save(h.metal, owner, at);
+        if (h.draft) |d| d.keepLane(@ptrCast(@alignCast(owner.?)), @ptrCast(@alignCast(saved))) catch |err| {
+            S.drop(h.metal, saved);
+            return err;
+        };
+        return saved;
+    }
+    fn drop(ptr: *anyopaque, saved: *anyopaque) void {
+        S.drop(host(ptr).metal, saved);
+    }
+};
diff --git a/zig/src/native/metal.zig b/zig/src/native/metal.zig
index 1391c64f86..fbad2ae996 100644
--- a/zig/src/native/metal.zig
+++ b/zig/src/native/metal.zig
@@ -176,8 +176,8 @@ pub fn open(a: Allocator, gpa: Allocator, io: std.Io, o: api.Open, problem: *[]c
         problem.* = why;
         return null;
     }
-    if (o.drafter != null and !dense and !isGemma4(o.model_type)) {
-        problem.* = "--drafter is supported for Qwen3.8-27B-class checkpoints (qwen3_5 with its own output head) and Gemma 4 dense";
+    if (o.drafter != null and !dense and !isGemma4(o.model_type) and !std.mem.eql(u8, o.model_type, "lfm2_moe")) {
+        problem.* = "--drafter is supported for Qwen3.8-27B-class checkpoints (qwen3_5 with its own output head), Gemma 4 dense and LFM2.5-24B-A2B";
         return null;
     }
     if (dense) return openQwen27(a, gpa, io, o, problem);
diff --git a/zig/src/server/cli.zig b/zig/src/server/cli.zig
index 87914e0042..5f26ed3472 100644
--- a/zig/src/server/cli.zig
+++ b/zig/src/server/cli.zig
@@ -100,7 +100,7 @@ pub const flags = [_]Flag{
     .{ .name = "--slide", .kind = .store_true, .native = true },
     .{ .name = "--slide-graph", .native = true },
     .{ .name = "--drafter", .native = true },
-    .{ .name = "--drafter-bits", .choices = &.{ "0", "4" }, .native = true },
+    .{ .name = "--drafter-bits", .choices = &.{ "0", "4", "8" }, .native = true },
     .{ .name = "--record", .native = true },
     .{ .name = "--kv-cache", .choices = &.{ "bf16", "fp8" }, .native = true },
     .{ .name = "--prompt-precision", .choices = &.{ "bf16", "int8" }, .native = true },
@@ -152,7 +152,6 @@ pub const flags = [_]Flag{
     // the native server's own: Cortheon's reasoning program and server-run web research for every chat request
     .{ .name = "--cortheon", .kind = .store_true, .native = true },
 };
-
 /// The variables this binary honours as the Python engine does, then the CUDA build's or the Metal build's.
 pub const env = [_][]const u8{ "TENSORFOLD_API_KEY", "TENSORFOLD_NO_LIVE", "TENSORFOLD_SEED_SALT", "TENSORFOLD_REQUEST_LOG", "TENSORFOLD_NO_UPDATE_CHECK", "HF_HOME", "HF_HUB_CACHE", "HF_HUB_OFFLINE", "BRAVE_SEARCH_API_KEY" } ++
     (if (cuda_build) [_][]const u8{ "TF_CUDA_DEVICE", "TF_CUDA_SEGMENTS", "TENSORFOLD_CUDA_KERNELS", "TENSORFOLD_MEMORY_RESERVE_GIB", "TENSORFOLD_CUDA_MEMORY_LIMIT_GB", "TENSORFOLD_P2P_DIAGNOSTICS", "TENSORFOLD_P2P_PROBE" } else [_][]const u8{}) ++
@@ -217,7 +216,7 @@ pub const Args = struct {
     compact_memory: ?[]const u8 = null,
     drafter: ?[]const u8 = null,
     drafter_name: ?[]const u8 = null, // retained before hub resolution for the engine's serving line
-    drafter_bits: u8 = 4,
+    drafter_bits: ?u8 = null, // null: not given (a family without its own default takes 4)
     record: ?[]const u8 = null, // drafter training rows written under this folder
     kv_cache: []const u8 = "bf16", // fp8: e4m3 attention caches with a scale a row, about twice the context
     prompt_precision: []const u8 = "bf16", // int8: prompt matmuls quantize their inputs to int8 a 64-input group
@@ -548,7 +547,8 @@ pub fn request(a: Allocator, dir: []const u8, model_type: []const u8, args: Args
         .drafts = !args.no_drafts,
         .drafter = args.drafter,
         .drafter_name = args.drafter_name orelse args.drafter,
-        .drafter_bits = args.drafter_bits,
+        .drafter_bits = args.drafter_bits orelse 4,
+        .drafter_bits_given = args.drafter_bits != null,
         .record = args.record,
         .kv8 = std.mem.eql(u8, args.kv_cache, "fp8"),
         .prompt_int8 = std.mem.eql(u8, args.prompt_precision, "int8"),
diff --git a/zig/src/server/cli_test.zig b/zig/src/server/cli_test.zig
index ca4455cf16..123e4dfe10 100644
--- a/zig/src/server/cli_test.zig
+++ b/zig/src/server/cli_test.zig
@@ -163,8 +163,10 @@ test "parse and capabilities share the table" {
     try std.testing.expectEqual(@as(usize, 2), args.api_key.len);
     try std.testing.expect(!args.thinking);
     try std.testing.expectEqualStrings("x", (try parse(a, &.{ "m", "--drafter", "x" }, &u)).drafter.?);
-    try std.testing.expectEqual(@as(u8, 0), (try parse(a, &.{ "m", "--drafter-bits", "0" }, &u)).drafter_bits);
-    try std.testing.expectError(error.Usage, parse(a, &.{ "m", "--drafter-bits", "8" }, &u));
+    try std.testing.expectEqual(@as(?u8, 0), (try parse(a, &.{ "m", "--drafter-bits", "0" }, &u)).drafter_bits);
+    try std.testing.expectEqual(@as(?u8, 8), (try parse(a, &.{ "m", "--drafter-bits", "8" }, &u)).drafter_bits);
+    try std.testing.expectEqual(@as(?u8, null), (try parse(a, &.{ "m", "--drafter", "x" }, &u)).drafter_bits);
+    try std.testing.expectError(error.Usage, parse(a, &.{ "m", "--drafter-bits", "3" }, &u));
     try std.testing.expectEqualStrings("/r", (try parse(a, &.{ "m", "--record", "/r" }, &u)).record.?);
     try std.testing.expectEqualStrings("fp8", (try parse(a, &.{ "m", "--kv-cache", "fp8" }, &u)).kv_cache);
     try std.testing.expectError(error.Usage, parse(a, &.{ "m", "--kv-cache", "int4" }, &u));
diff --git a/zig/src/server/main.zig b/zig/src/server/main.zig
index 7ab94683aa..ab48bd608a 100644
--- a/zig/src/server/main.zig
+++ b/zig/src/server/main.zig
@@ -26,7 +26,7 @@ const usage_line = "usage: tensorfold serve [-h] [--host HOST] [--port PORT] [--
     " [--thinking | --no-thinking] [--reasoning-effort {low,medium,high,xhigh}]" ++
     " [--thinking-budget THINKING_BUDGET] [--thinking-reserve THINKING_RESERVE] [--loop-guard] [--loop-guard-stop] [--no-drafts]" ++
     " [--drafter DRAFTER]" ++
-    " [--drafter-bits {0,4}] [--record RECORD] [--keep-warm SECONDS] [--idle-unload SECONDS]" ++
+    " [--drafter-bits {0,4,8}] [--record RECORD] [--keep-warm SECONDS] [--idle-unload SECONDS]" ++
     " [--silence-floor-dbfs DBFS] [--silence-seconds SECONDS]" ++
     " [--silence-onset-s SECONDS] [--silence-onset-voiced-s SECONDS]" ++
     " [--silence-mid-s SECONDS] [--silence-mid-min-voiced-s SECONDS] [--silence-redraws N]" ++
diff --git a/zig/src/tensorfold.zig b/zig/src/tensorfold.zig
index 4fa4fbe147..cd9d82bc08 100644
--- a/zig/src/tensorfold.zig
+++ b/zig/src/tensorfold.zig
@@ -88,6 +88,10 @@ test {
     _ = @import("families/lfm2_moe/config.zig");
     _ = @import("families/lfm2_moe/backend.zig");
     _ = @import("families/lfm2_moe/state.zig");
+    _ = @import("families/lfm2_moe/dspark_config.zig");
+    _ = @import("families/lfm2_moe/dspark_quant.zig");
+    _ = @import("families/lfm2_moe/dspark_test.zig");
+    _ = @import("families/lfm2_moe/dspark_bf16_test.zig");
 }
 
 pub const lane_projection = @import("core/lane_projection.zig");
diff --git a/zig/tests/contract/metal_lfm2_attn.zig b/zig/tests/contract/metal_lfm2_attn.zig
new file mode 100644
index 0000000000..60fa6939ae
--- /dev/null
+++ b/zig/tests/contract/metal_lfm2_attn.zig
@@ -0,0 +1,172 @@
+//! LFM2's block attention (lfm2_attn_block, then lfm2_attn_block_merge): every row of a drafter's block sees all keys.
+const std = @import("std");
+const mtl = @import("metal");
+const contract = @import("contract");
+const sources = @import("kernel_sources");
+const c = contract.spec;
+const g = contract.gates;
+const rig_ = @import("rig.zig");
+const controls = @import("metal_lfm2_controls.zig");
+
+const qh = 32;
+const kvh = 8;
+const hd = 64;
+const subs = 8; // the drafter's sub-spans a 4,096-key chunk (state.subs)
+const chunks = 32;
+const chunk_keys = 4096;
+pub const name = "metal lfm2 block attention";
+
+/// rows: a block's rows; k: the keys every row sees (a context and the block past it).
+const shapes = [_]c.Shape{ .{ .rows = 1, .n = qh * hd, .k = 9 }, .{ .rows = 3, .n = qh * hd, .k = 700 }, .{ .rows = 9, .n = qh * hd, .k = 4500 } };
+
+fn depth(s: c.Shape) usize {
+    return s.k;
+}
+
+pub fn spec() c.Spec {
+    return .{ .name = name, .accum = .none, .depth = depth, .out = .bf16, .served = &shapes, .nan = .{ .stated = "a NaN key of a kv head makes its query heads' outputs NaN, the others stay finite" }, .sums = .{ .f16 = 0, .bf16 = 0, .why = "the check bounds each output by its bf16 probabilities' rounding, not a sum's bits" } };
+}
+
+fn value(i: usize, seed: u64, scale: f32) u16 {
+    const h: u64 = (@as(u64, i) *% 0x9e3779b97f4a7c15 +% seed *% 0xbf58476d1ce4e5b9) >> 40;
+    return c.toBf16((@as(f32, @floatFromInt(h % 2048)) / 1024 - 1) * scale);
+}
+
+pub const Probe = struct {
+    a: std.mem.Allocator,
+    rig: rig_.Rig,
+    mutation: controls.Mutation,
+    pipes: [2]mtl.Pipeline,
+    shape: c.Shape = undefined,
+    cap: usize = 0,
+    nan: bool = false,
+    q: []u16 = &.{},
+    k: []u16 = &.{},
+    v: []u16 = &.{},
+    args: [5]rig_.Ref = undefined,
+    y: rig_.Ref = undefined,
+
+    pub fn init(a: std.mem.Allocator, device: mtl.Device, queue: mtl.Queue, mutation: controls.Mutation) !Probe {
+        const text = try controls.source(a, mutation);
+        defer if (mutation != .none) a.free(text);
+        const first = try rig_.pipeline(device, text, "lfm2_attn_block");
+        errdefer first.deinit();
+        return .{ .a = a, .rig = .{ .a = a, .device = device, .queue = queue }, .pipes = .{ first, try rig_.pipeline(device, text, "lfm2_attn_block_merge") }, .mutation = mutation };
+    }
+
+    fn drop(p: *Probe) void {
+        inline for (.{ "q", "k", "v" }) |f| {
+            p.a.free(@field(p, f));
+            @field(p, f) = &.{};
+        }
+        p.rig.reset();
+    }
+
+    pub fn deinit(p: *Probe) void {
+        p.drop();
+        p.rig.deinit();
+        for (p.pipes) |x| x.deinit();
+    }
+
+    const vt = g.hooks(Probe);
+    pub fn kernel(p: *Probe) g.Kernel {
+        var s = spec();
+        if (p.mutation != .none) s.name = p.mutation.name();
+        return .{ .ctx = p, .vt = &vt, .spec = s, .control = p.mutation.gate() };
+    }
+
+    pub fn prepare(p: *Probe, s: c.Shape, f: g.Fill, seed: u64) !bool {
+        if (s.n != qh * hd or s.rows == 0 or s.rows > 16 or s.k < s.rows or s.k > chunks * chunk_keys) return false;
+        p.drop();
+        p.shape = s;
+        p.nan = f == .nonfinite;
+        p.cap = (s.k + 63) / 64 * 64 + 32; // keys past `k` hold finite values, as a lane's cache does
+        const padded = (s.rows + 7) / 8 * 8 + 8; // the kernel reads a tile's 8 rows whatever its row count
+        p.q = try p.a.alloc(u16, padded * qh * hd);
+        p.k = try p.a.alloc(u16, kvh * p.cap * hd);
+        p.v = try p.a.alloc(u16, kvh * p.cap * hd);
+        for (p.q, 0..) |*x, i| x.* = value(i, seed, 1);
+        for (p.k, 0..) |*x, i| x.* = value(i, seed +% 1, if (f == .stress) 4 else 1);
+        for (p.v, 0..) |*x, i| x.* = value(i, seed +% 2, 2);
+        if (p.nan) p.k[(0 * p.cap + s.k / 2) * hd + 5] = 0x7fc0; // kv head 0, a visible key
+        p.args[0] = try p.rig.input(std.mem.sliceAsBytes(p.q));
+        p.args[1] = try p.rig.input(std.mem.sliceAsBytes(p.k));
+        p.args[2] = try p.rig.input(std.mem.sliceAsBytes(p.v));
+        const Args = extern struct { len: u32, cap: u32, scale: f32, subs: u32 };
+        const args = Args{ .len = @intCast(s.k - 1), .cap = @intCast(p.cap), .scale = 1.0 / @sqrt(@as(f32, hd)), .subs = subs };
+        p.args[3] = try p.rig.input(std.mem.asBytes(&args));
+        const n: u32 = @intCast(s.rows);
+        p.args[4] = try p.rig.input(std.mem.asBytes(&n));
+        p.y = try p.rig.output(p.count() * 2);
+        return true;
+    }
+
+    pub fn count(p: *Probe) usize {
+        return p.shape.rows * qh * hd;
+    }
+
+    pub fn run(p: *Probe) !void {
+        const rows = p.shape.rows;
+        const partials = @max(rows, 8) * subs * qh * chunks;
+        const pm = try p.rig.scratch(partials * 4);
+        const pl = try p.rig.scratch(partials * 4);
+        const po = try p.rig.scratch(partials * hd * 4);
+        const pass = p.rig.begin();
+        const e = pass.e;
+        e.setPipeline(p.pipes[0]);
+        for (p.args[0..4], 0..) |r, i| e.setBuffer(r.buf, r.off, i);
+        for ([_]rig_.Ref{ pm, pl, po, p.args[4] }, 4..) |r, i| e.setBuffer(r.buf, r.off, i);
+        const used = (p.shape.k + chunk_keys - 1) / chunk_keys * subs;
+        e.dispatchGroups(mtl.Size.of((rows + 7) / 8, kvh, used), mtl.Size.of(128, 1, 1));
+        e.setPipeline(p.pipes[1]);
+        for ([_]rig_.Ref{ pm, pl, po, p.args[3], p.y }, 0..) |r, i| e.setBuffer(r.buf, r.off, i);
+        e.dispatchGroups(mtl.Size.of(qh, rows, 1), mtl.Size.of(32, 1, 1));
+        try p.rig.finish(pass);
+    }
+
+    pub fn reference(_: *Probe, want: []f64, mag: []f64) !void {
+        @memset(want, 0); // the check computes its own references
+        @memset(mag, 0);
+    }
+
+    /// Every output against float64 attention: within 2^-7 of its values' largest magnitude and 2^-8 of itself.
+    pub fn check(p: *Probe, _: g.Gate) !?[]const u8 {
+        const s = p.shape;
+        const out = std.mem.bytesAsSlice(u16, p.rig.bytes(p.y, p.count() * 2));
+        const w = try p.a.alloc(f64, s.k);
+        defer p.a.free(w);
+        for (0..s.rows) |r| for (0..qh) |h| {
+            const kv = h / (qh / kvh);
+            const nan_head = p.nan and kv == 0;
+            var top: f64 = -std.math.inf(f64);
+            for (0..s.k) |j| {
+                var dot: f64 = 0;
+                for (0..hd) |d| dot += c.fromBf16(p.q[(r * qh + h) * hd + d]) * c.fromBf16(p.k[(kv * p.cap + j) * hd + d]);
+                w[j] = dot / @sqrt(@as(f64, hd));
+                top = @max(top, w[j]);
+            }
+            var sum: f64 = 0;
+            for (w) |*x| {
+                x.* = @exp(x.* - top);
+                sum += x.*;
+            }
+            for (0..hd) |d| {
+                var o: f64 = 0;
+                var big: f64 = 0;
+                for (0..s.k) |j| {
+                    const vv: f64 = c.fromBf16(p.v[(kv * p.cap + j) * hd + d]);
+                    o += w[j] / sum * vv;
+                    big = @max(big, @abs(vv));
+                }
+                const got: f64 = c.fromBf16(out[(r * qh + h) * hd + d]);
+                if (nan_head) {
+                    if (!std.math.isNan(got)) return "a head behind a NaN key gave a number";
+                    continue;
+                }
+                if (!std.math.isFinite(got)) return "a finite head gave a non-finite output";
+                if (@abs(got - o) > big * 0x1p-7 + @abs(o) * 0x1p-8) return "an output is past its float64 bound";
+            }
+        };
+        return null;
+    }
+};
diff --git a/zig/tests/contract/metal_lfm2_bf16.zig b/zig/tests/contract/metal_lfm2_bf16.zig
new file mode 100644
index 0000000000..fcbe718243
--- /dev/null
+++ b/zig/tests/contract/metal_lfm2_bf16.zig
@@ -0,0 +1,135 @@
+//! LFM2's DSpark bf16 linears under gates 1-4: x W^T with bf16 inputs and fp32 sums, few rows or 64x64 tiles.
+const std = @import("std");
+const mtl = @import("metal");
+const contract = @import("contract");
+const rig_ = @import("rig.zig");
+const controls = @import("metal_lfm2_controls.zig");
+
+const c = contract.spec;
+const g = contract.gates;
+const Dense = contract.dense.Dense;
+
+pub const Which = enum { rows, tile };
+const names = [_][]const u8{ "metal lfm2 bf16 rows", "metal lfm2 bf16 tile" };
+
+/// The drafter's matrices: q and o (2,048 from 2,048), k and v (512), gate and up (6,144), down (2,048 from 6,144).
+const rows_served = [_]c.Shape{
+    .{ .rows = 1, .n = 2048, .k = 2048 },  .{ .rows = 9, .n = 512, .k = 2048 },   .{ .rows = 16, .n = 6144, .k = 2048 },
+    .{ .rows = 32, .n = 2048, .k = 6144 }, .{ .rows = 4, .n = 2048, .k = 10240 },
+};
+/// Shared holds past 16 rows, and a cold prompt's absorb up to 2,048 rows a pass.
+const tile_served = [_]c.Shape{
+    .{ .rows = 17, .n = 2048, .k = 2048 },    .{ .rows = 18, .n = 512, .k = 2048 },
+    .{ .rows = 24, .n = 6144, .k = 2048 },    .{ .rows = 32, .n = 2048, .k = 6144 },
+    .{ .rows = 33, .n = 2048, .k = 2048 },    .{ .rows = 128, .n = 512, .k = 2048 },
+    .{ .rows = 2048, .n = 2048, .k = 10240 }, .{ .rows = 70, .n = 6144, .k = 2048 },
+};
+
+/// A lane's k / 32 fp32 fmas in turn, then the simdgroup's five-level sum.
+fn rowsDepth(s: c.Shape) usize {
+    return s.k / 32 + 8;
+}
+
+/// One 8-wide MMA step a k step of 8, accumulating in fp32.
+fn tileDepth(s: c.Shape) usize {
+    return s.k / 8 + 8;
+}
+
+pub fn spec(w: Which) c.Spec {
+    return switch (w) {
+        // rows in groups of 16, a column a simdgroup (any n), k in 256-wide lane steps of 8
+        .rows => .{ .name = names[0], .accum = .f32, .depth = rowsDepth, .out = .bf16, .tiles = .{ .{ .size = 16 }, .{ .size = 8 }, .{ .size = 256, .step = 8, .min = 8 } }, .served = &rows_served },
+        .tile => .{ .name = names[1], .accum = .f32, .depth = tileDepth, .out = .bf16, .tiles = .{ .{ .size = 64 }, .{ .size = 64 }, .{ .size = 32, .step = 32, .min = 32 } }, .served = &tile_served },
+    };
+}
+
+const Args = extern struct { rows: u32, n: u32, k: u32 };
+
+pub const Probe = struct {
+    a: std.mem.Allocator,
+    rig: rig_.Rig,
+    which: Which,
+    mutation: controls.Mutation,
+    pipe: mtl.Pipeline,
+    d: ?Dense = null,
+    x: rig_.Ref = undefined,
+    w: rig_.Ref = undefined,
+    out: rig_.Ref = undefined,
+
+    pub fn init(a: std.mem.Allocator, device: mtl.Device, queue: mtl.Queue, w: Which, mutation: controls.Mutation) !Probe {
+        const text = try controls.source(a, mutation);
+        defer if (mutation != .none) a.free(text);
+        const key: []const u8 = if (w == .rows) "lfm2_bf16_rows" else "lfm2_bf16_mma";
+        return .{ .a = a, .rig = .{ .a = a, .device = device, .queue = queue }, .which = w, .mutation = mutation, .pipe = try rig_.pipeline(device, text, key) };
+    }
+
+    pub fn deinit(p: *Probe) void {
+        if (p.d) |d| d.deinit();
+        p.rig.deinit();
+        p.pipe.deinit();
+    }
+
+    const vt = g.hooks(Probe);
+    pub fn kernel(p: *Probe) g.Kernel {
+        var s = spec(p.which);
+        if (p.mutation != .none) s.name = p.mutation.name();
+        return .{ .spec = s, .ctx = p, .vt = &vt, .control = p.mutation.gate() };
+    }
+
+    pub fn prepare(p: *Probe, shape: c.Shape, fill: g.Fill, seed: u64) !bool {
+        if (shape.rows == 0 or shape.n == 0 or shape.k == 0) return false;
+        if (p.which == .rows and (shape.k % 8 != 0 or shape.rows > 32)) return false;
+        if (p.which == .tile and shape.k % 32 != 0) return false;
+        if (p.d) |d| d.deinit();
+        p.d = null;
+        p.rig.reset();
+        const d = try Dense.init(p.a, shape, 1);
+        p.d = d;
+        d.fillX(fill, seed, 2);
+        // W as bf16 bits in [-1, 1), or gate 4's mirrored integers whose halves cancel (partials under 2^24)
+        const bits = try p.a.alloc(u16, shape.n * shape.k);
+        defer p.a.free(bits);
+        var prng = std.Random.DefaultPrng.init(seed ^ 0x6d);
+        const rng = prng.random();
+        const k = shape.k;
+        for (bits) |*b| b.* = c.toBf16(if (fill == .stress) 0 else rng.float(f32) * 2 - 1);
+        if (fill == .stress) for (0..shape.n) |j| for (0..k / 2) |i| {
+            const v: f32 = @floatFromInt(1 + rng.uintLessThan(u32, 7));
+            bits[j * k + i] = c.toBf16(v);
+            bits[j * k + k / 2 + i] = c.toBf16(-v);
+        };
+        for (d.w, bits) |*wv, b| wv.* = c.fromBf16(b);
+        p.x = try p.rig.input(std.mem.sliceAsBytes(d.x));
+        p.w = try p.rig.input(std.mem.sliceAsBytes(bits));
+        p.out = try p.rig.output(d.outputs() * c.size(spec(p.which).out));
+        return true;
+    }
+
+    pub fn run(p: *Probe) !void {
+        const d = p.d.?;
+        const pass = p.rig.begin();
+        const e = pass.e;
+        e.setPipeline(p.pipe);
+        e.setBuffer(p.x.buf, p.x.off, 0);
+        e.setBuffer(p.w.buf, p.w.off, 1);
+        const args = Args{ .rows = @intCast(d.shape.rows), .n = @intCast(d.shape.n), .k = @intCast(d.shape.k) };
+        e.setBytes(std.mem.asBytes(&args), 2);
+        e.setBuffer(p.out.buf, p.out.off, 3);
+        if (p.which == .rows) {
+            e.dispatchGroups(mtl.Size.of((d.shape.n + 7) / 8, (d.shape.rows + 15) / 16, 1), mtl.Size.of(256, 1, 1));
+        } else e.dispatchGroups(mtl.Size.of((d.shape.n + 63) / 64, (d.shape.rows + 63) / 64, 1), mtl.Size.of(128, 1, 1));
+        try p.rig.finish(pass);
+    }
+
+    pub fn count(p: *Probe) usize {
+        return p.d.?.outputs();
+    }
+
+    pub fn reference(p: *Probe, want: []f64, mag: []f64) !void {
+        return p.d.?.reference(want, mag);
+    }
+
+    pub fn simulate(p: *Probe, acc: c.Accum, order: g.Order, out: []f64) !void {
+        return p.d.?.simulate(acc, order, out);
+    }
+};
diff --git a/zig/tests/contract/metal_lfm2_confidence.zig b/zig/tests/contract/metal_lfm2_confidence.zig
new file mode 100644
index 0000000000..ebf74ea5f2
--- /dev/null
+++ b/zig/tests/contract/metal_lfm2_confidence.zig
@@ -0,0 +1,110 @@
+//! LFM2's DSpark confidence logit (lfm2_dspark_confidence): a dot of a row and a W1 row with the head's 2,304 weights.
+const std = @import("std");
+const mtl = @import("metal");
+const contract = @import("contract");
+const sources = @import("kernel_sources");
+const c = contract.spec;
+const g = contract.gates;
+const rows = contract.rows;
+const rig_ = @import("rig.zig");
+const controls = @import("metal_lfm2_controls.zig");
+
+const hidden = 2048;
+const rank = 256;
+pub const name = "metal lfm2 dspark confidence";
+
+/// rows: one stream's drafts (row i reads the block's row i and the W1 row of the token before draft i).
+const shapes = [_]c.Shape{ .{ .rows = 1, .n = 1, .k = hidden + rank }, .{ .rows = 4, .n = 1, .k = hidden + rank }, .{ .rows = 9, .n = 1, .k = hidden + rank } };
+
+/// A thread's chain over every 256th input, a 32-way simd_sum tree, then the eight simdgroups' partials in order.
+fn depth(s: c.Shape) usize {
+    return (s.k + 255) / 256 + 5 + 8;
+}
+
+pub fn spec() c.Spec {
+    return .{ .name = name, .accum = .f32, .depth = depth, .out = .f32, .served = &shapes };
+}
+
+pub const Probe = struct {
+    a: std.mem.Allocator,
+    rig: rig_.Rig,
+    pipe: mtl.Pipeline,
+    mutation: controls.Mutation,
+    r: ?rows.Rows = null,
+    args: [6]rig_.Ref = undefined, // x, W1 rows, ids, picks, the head's weights, the shape
+    out: rig_.Ref = undefined,
+
+    pub fn init(a: std.mem.Allocator, device: mtl.Device, queue: mtl.Queue, mutation: controls.Mutation) !Probe {
+        const text = try controls.source(a, mutation);
+        defer if (mutation != .none) a.free(text);
+        return .{ .a = a, .rig = .{ .a = a, .device = device, .queue = queue }, .pipe = try rig_.pipeline(device, text, "lfm2_dspark_confidence"), .mutation = mutation };
+    }
+
+    pub fn deinit(p: *Probe) void {
+        if (p.r) |r| r.deinit();
+        p.rig.deinit();
+        p.pipe.deinit();
+    }
+
+    const vt = g.hooks(Probe);
+    pub fn kernel(p: *Probe) g.Kernel {
+        var s = spec();
+        if (p.mutation != .none) s.name = p.mutation.name();
+        return .{ .ctx = p, .vt = &vt, .spec = s, .control = p.mutation.gate() };
+    }
+
+    /// Row i's first 2,048 inputs as the block's row i, its last 256 as W1 row i: the token before draft i is i.
+    pub fn prepare(p: *Probe, s: c.Shape, f: g.Fill, seed: u64) !bool {
+        if (s.k != hidden + rank or s.rows == 0 or s.rows > 16) return false;
+        if (p.r) |r| r.deinit();
+        p.r = null;
+        p.rig.reset();
+        const r = try rows.Rows.init(p.a, .dot, s);
+        p.r = r;
+        r.fill(f, seed);
+        const x = try p.a.alloc(u16, s.rows * hidden);
+        defer p.a.free(x);
+        const w1 = try p.a.alloc(u16, s.rows * rank);
+        defer p.a.free(w1);
+        for (0..s.rows) |i| {
+            @memcpy(x[i * hidden ..][0..hidden], r.x[i * s.k ..][0..hidden]);
+            @memcpy(w1[i * rank ..][0..rank], r.x[i * s.k + hidden ..][0..rank]);
+        }
+        // the block's pending id is token 0; the pick before draft i (i > 0) is token i, a flag word after each
+        var picks: [32]u32 = @splat(0xdead);
+        for (1..s.rows) |i| picks[2 * (i - 1)] = @intCast(i);
+        const ids = [1]u32{0};
+        const args = [5]u32{ @intCast(s.rows), 1, @intCast(s.rows), rank, hidden };
+        p.args[0] = try p.rig.input(std.mem.sliceAsBytes(x));
+        p.args[1] = try p.rig.input(std.mem.sliceAsBytes(w1));
+        p.args[2] = try p.rig.input(std.mem.asBytes(&ids));
+        p.args[3] = try p.rig.input(std.mem.asBytes(&picks));
+        p.args[4] = try p.rig.input(std.mem.sliceAsBytes(r.w));
+        p.args[5] = try p.rig.input(std.mem.asBytes(&args));
+        p.out = try p.rig.output(s.rows * 4);
+        return true;
+    }
+
+    pub fn run(p: *Probe) !void {
+        const n = p.r.?.shape.rows;
+        const pass = p.rig.begin();
+        const e = pass.e;
+        e.setPipeline(p.pipe);
+        for (p.args, 0..) |ref, i| e.setBuffer(ref.buf, ref.off, i);
+        e.setBuffer(p.out.buf, p.out.off, 6);
+        e.dispatchGroups(mtl.Size.of(n, 1, 1), mtl.Size.of(256, 1, 1));
+        try p.rig.finish(pass);
+    }
+
+    pub fn count(p: *Probe) usize {
+        return p.r.?.outputs();
+    }
+
+    pub fn reference(p: *Probe, want: []f64, mag: []f64) !void {
+        return p.r.?.reference(want, mag);
+    }
+
+    pub fn simulate(p: *Probe, acc: c.Accum, order: g.Order, out: []f64) !void {
+        return p.r.?.simulate(acc, order, out);
+    }
+};
diff --git a/zig/tests/contract/metal_lfm2_controls.zig b/zig/tests/contract/metal_lfm2_controls.zig
index 655a97d4fc..bd8a890529 100644
--- a/zig/tests/contract/metal_lfm2_controls.zig
+++ b/zig/tests/contract/metal_lfm2_controls.zig
@@ -9,6 +9,19 @@ pub const Mutation = enum {
     argmax_no_flag,
     conv_first_state,
     attention_first_cache,
+    tap_packed_rows,
+    tap_clobbers_column,
+    markov_nan_dropped,
+    markov_first_prev,
+    draft_ids_unzeroed,
+    block_attention_causal,
+    confidence_no_w1,
+    markov_bf16_nan_dropped,
+    markov_bf16_first_prev,
+    bf16_rows_short_k,
+    bf16_rows_last_row,
+    bf16_tile_untransposed,
+    bf16_tile_last_column,
 
     pub fn name(m: Mutation) []const u8 {
         return switch (m) {
@@ -17,6 +30,19 @@ pub const Mutation = enum {
             .argmax_no_flag => "control: metal lfm2 argmax, a nonfinite logit is not flagged",
             .conv_first_state => "control: metal lfm2 stream conv, every stream reads the first stream's state",
             .attention_first_cache => "control: metal lfm2 stream attention, every stream writes the first stream's cache",
+            .tap_packed_rows => "control: metal lfm2 tap copy, rows packed at the hidden size, not the taps' row",
+            .tap_clobbers_column => "control: metal lfm2 tap copy, a column of another tap is overwritten",
+            .markov_nan_dropped => "control: metal lfm2 markov step, a NaN score is not flagged",
+            .markov_first_prev => "control: metal lfm2 markov step, every stream reads the first stream's previous token",
+            .draft_ids_unzeroed => "control: metal lfm2 draft ids, a pick past the vocabulary keeps its token",
+            .confidence_no_w1 => "control: metal lfm2 dspark confidence, the previous token's W1 row is not added",
+            .block_attention_causal => "control: metal lfm2 block attention, a row misses the last key",
+            .markov_bf16_nan_dropped => "control: metal lfm2 markov step bf16, a NaN score is not flagged",
+            .markov_bf16_first_prev => "control: metal lfm2 markov step bf16, every stream reads the first stream's previous token",
+            .bf16_rows_short_k => "control: metal lfm2 bf16 rows, a lane skips every second step of k",
+            .bf16_rows_last_row => "control: metal lfm2 bf16 rows, a group's last row is not computed",
+            .bf16_tile_untransposed => "control: metal lfm2 bf16 tile, W's tile is read untransposed",
+            .bf16_tile_last_column => "control: metal lfm2 bf16 tile, the last column is not written",
         };
     }
 
@@ -24,7 +50,7 @@ pub const Mutation = enum {
     pub fn gate(m: Mutation) ?contract.gates.Gate {
         return switch (m) {
             .none => null,
-            .argmax_no_flag => .nonfinite,
+            .argmax_no_flag, .markov_nan_dropped, .markov_bf16_nan_dropped => .nonfinite,
             else => .shapes,
         };
     }
@@ -38,6 +64,19 @@ pub const Mutation = enum {
             .argmax_no_flag => .{ .from = "if (!isfinite(f)) bad = 1;", .to = "if (false) bad = 1;" },
             .conv_first_state => .{ .from = "lfm2_conv_row(bcx + size_t(s.base) * 3 * D, s.conv,", .to = "lfm2_conv_row(bcx + size_t(s.base) * 3 * D, segs[0].conv," },
             .attention_first_cache => .{ .from = "queries + b * QH * HD, s.keys, s.values,", .to = "queries + b * QH * HD, segs[0].keys, segs[0].values," },
+            .tap_packed_rows => .{ .from = "(taps + size_t(i.y) * at.x + at.y))[i.x]", .to = "(taps + size_t(i.y) * D + at.y))[i.x]" },
+            .markov_nan_dropped => .{ .from = "nan = nan || isnan(sc);", .to = "nan = false;" },
+            .markov_first_prev => .{ .from = "id = prev[size_t(s) * p.prev_stride];", .to = "id = prev[0];" },
+            .draft_ids_unzeroed => .{ .from = "ids[i] = ok ? token : 0u;", .to = "ids[i] = token;" },
+            .confidence_no_w1 => .{ .from = "if (id < p.vocab)\n    for (uint k = t; k < p.rank", .to = "if (false)\n    for (uint k = t; k < p.rank" },
+            .block_attention_causal => .{ .from = "count[b] = FULL ? p.len + 1 :", .to = "count[b] = FULL ? p.len :" },
+            .markov_bf16_nan_dropped => .{ .from = "nan = nan || isnan(sc);", .to = "nan = false;" },
+            .markov_bf16_first_prev => .{ .from = "id = prev[size_t(s) * p.prev_stride];", .to = "id = prev[0];" },
+            .bf16_rows_short_k => .{ .from = "for (uint i = 8 * lane; i < p.k; i += 256) {", .to = "for (uint i = 8 * lane; i < p.k; i += 512) {" },
+            .bf16_rows_last_row => .{ .from = "if (r >= rows) break;", .to = "if (r + 1 >= rows) break;" },
+            .bf16_tile_untransposed => .{ .from = "32, ulong2(0, 0), true);", .to = "32, ulong2(0, 0), false);" },
+            .bf16_tile_last_column => .{ .from = "if (row < p.rows && col < p.n) y[", .to = "if (row < p.rows && col + 1 < p.n) y[" },
+            .tap_clobbers_column => .{ .from = "[i.x] = from[i.x];\n}\n", .to = "[i.x] = from[i.x];\n  *(device bfloat*)(taps + size_t(i.y) * at.x) = 0;\n}\n" },
         };
     }
 };
diff --git a/zig/tests/contract/metal_lfm2_dspark.zig b/zig/tests/contract/metal_lfm2_dspark.zig
new file mode 100644
index 0000000000..04b7fc489a
--- /dev/null
+++ b/zig/tests/contract/metal_lfm2_dspark.zig
@@ -0,0 +1,264 @@
+//! LFM2's DSpark kernels: the Markov step (scan then pick), and held drafts into a verify's ids.
+const std = @import("std");
+const mtl = @import("metal");
+const contract = @import("contract");
+const sources = @import("kernel_sources");
+const c = contract.spec;
+const g = contract.gates;
+const rig_ = @import("rig.zig");
+const controls = @import("metal_lfm2_controls.zig");
+
+pub const Which = enum { markov_step, draft_ids, markov_step_bf16 };
+const rank = 256;
+const vocab = 128000;
+const span = 512; // tokens a scan threadgroup takes (the kernel's MARKOV_SPAN)
+const groups = (vocab + span - 1) / span;
+const table = 1000; // W1's rows in the check: ids are inside it or past the vocabulary (a zero row)
+const names = [_][]const u8{ "metal lfm2 markov step", "metal lfm2 draft ids", "metal lfm2 markov step bf16" };
+const stride = 64; // words between a stream's picks: a hold pass's 32 blocks, a token and a flag each
+
+const ids_shapes = [_]c.Shape{ .{ .rows = 1, .n = 1, .k = 1 }, .{ .rows = 4, .n = 1, .k = 1 }, .{ .rows = 15, .n = 1, .k = 1 } };
+const step_shapes = [_]c.Shape{ .{ .rows = 1, .n = vocab, .k = rank }, .{ .rows = 4, .n = vocab, .k = rank }, .{ .rows = 9, .n = vocab, .k = rank } };
+
+fn none(_: c.Shape) usize {
+    return 0;
+}
+
+fn depth(_: c.Shape) usize {
+    return rank;
+}
+
+pub fn spec(w: Which) c.Spec {
+    return switch (w) {
+        .draft_ids => .{ .name = names[1], .accum = .none, .depth = none, .out = .raw, .served = &ids_shapes, .sums = .{ .f16 = 0, .bf16 = 0, .why = "a copy moves tokens: no sums" } },
+        .markov_step, .markov_step_bf16 => .{ .name = if (w == .markov_step) names[0] else names[2], .accum = .none, .depth = depth, .out = .raw, .served = &step_shapes, .nan = .{ .stated = "a row with a NaN score is flagged nonfinite" }, .sums = .{ .f16 = 0, .bf16 = 0, .why = "picks are tokens: the check bounds each pick's score by gamma(256), not sum bits" } },
+    };
+}
+
+/// A bf16 value for element `i` over signs and binades; the nonfinite fill plants NaN and infinities.
+fn value(i: usize, seed: u64, fill: g.Fill) u16 {
+    if (fill == .nonfinite) switch ((@as(u64, i) *% 2654435761 +% seed) % 9973) {
+        0 => return 0x7fc0,
+        1 => return 0x7f80,
+        2 => return 0xff80,
+        else => {},
+    };
+    const h: u64 = (@as(u64, i) *% 0x9e3779b97f4a7c15 +% seed *% 0xbf58476d1ce4e5b9) >> 40;
+    const mant: f32 = @as(f32, @floatFromInt(h % 1024)) / 1024 + 1;
+    const exp: i32 = @as(i32, @intCast((h >> 10) % 8)) - 4;
+    const v = std.math.ldexp(mant, exp) * @as(f32, if (((h >> 15) & 1) == 0) 1 else -1);
+    return c.toBf16(v);
+}
+
+pub const Probe = struct {
+    a: std.mem.Allocator,
+    rig: rig_.Rig,
+    which: Which,
+    mutation: controls.Mutation,
+    pipes: [2]mtl.Pipeline,
+    rows: usize = 0,
+    src: []u16 = &.{}, // the base logits rows
+    w1: []u16 = &.{},
+    codes: []u8 = &.{},
+    scales: []u16 = &.{},
+    biases: []u16 = &.{},
+    w2: []u16 = &.{}, // the bf16 step's W2
+    ids: []u32 = &.{},
+    args: [8]rig_.Ref = undefined,
+    y: rig_.Ref = undefined,
+    bad: rig_.Ref = undefined, // draft_ids: the flag word it sets for a flagged or invalid pick, zeroed each run
+
+    pub fn init(a: std.mem.Allocator, device: mtl.Device, queue: mtl.Queue, w: Which, mutation: controls.Mutation) !Probe {
+        const text = try controls.source(a, mutation);
+        defer if (mutation != .none) a.free(text);
+        const kernels: [2][:0]const u8 = switch (w) {
+            .markov_step => .{ "lfm2_markov_scan", "lfm2_markov_pick" },
+            .markov_step_bf16 => .{ "lfm2_markov_scan_bf16", "lfm2_markov_pick" },
+            .draft_ids => .{ "lfm2_draft_ids", "lfm2_draft_ids" },
+        };
+        const first = try rig_.pipeline(device, text, kernels[0]);
+        errdefer first.deinit();
+        const second = try rig_.pipeline(device, text, kernels[1]);
+        return .{ .a = a, .rig = .{ .a = a, .device = device, .queue = queue }, .which = w, .mutation = mutation, .pipes = .{ first, second } };
+    }
+
+    fn drop(p: *Probe) void {
+        inline for (.{ "src", "w1", "codes", "scales", "biases", "w2", "ids" }) |f| {
+            p.a.free(@field(p, f));
+            @field(p, f) = &.{};
+        }
+        p.rig.reset();
+    }
+
+    pub fn deinit(p: *Probe) void {
+        p.drop();
+        p.rig.deinit();
+        for (p.pipes) |x| x.deinit();
+    }
+
+    const vt = g.hooks(Probe);
+    pub fn kernel(p: *Probe) g.Kernel {
+        var s = spec(p.which);
+        if (p.mutation != .none) s.name = p.mutation.name();
+        return .{ .ctx = p, .vt = &vt, .spec = s, .control = p.mutation.gate() };
+    }
+
+    fn fill(out: []u16, seed: u64, f: g.Fill) void {
+        for (out, 0..) |*v, i| v.* = value(i, seed, f);
+    }
+
+    pub fn prepare(p: *Probe, s: c.Shape, f: g.Fill, seed: u64) !bool {
+        p.drop();
+        p.rows = s.rows;
+        if (p.which == .draft_ids) { // picks a stride apart: tokens inside the vocabulary, its last, and past it
+            if (s.n != 1 or s.rows == 0 or s.rows > 16) return false;
+            p.ids = try p.a.alloc(u32, s.rows * stride);
+            for (p.ids, 0..) |*id, i| id.* = switch ((i / stride) % 3) {
+                0 => @intCast((@as(u64, i) * 7919 + seed) % vocab),
+                1 => vocab - 1,
+                else => vocab + @as(u32, @intCast(i % 5)),
+            };
+            // the flag word after each pick: zero, but planted nonzero on the last of every four streams
+            for (0..s.rows) |r| p.ids[r * stride + 1] = if (r % 4 == 3) 1 else 0;
+            p.args[0] = try p.rig.input(std.mem.sliceAsBytes(p.ids));
+            const at = [4]u32{ stride, @intCast(s.rows), vocab, 0 };
+            p.args[1] = try p.rig.input(std.mem.asBytes(&at));
+            p.y = try p.rig.output(p.count());
+            return true;
+        }
+        if (s.n != vocab or s.k != rank or s.rows == 0) return false;
+        // each stream's step row sits a block (two rows here) apart, as a hold's rows of one step do
+        p.src = try p.a.alloc(u16, 2 * s.rows * vocab);
+        fill(p.src, seed, f);
+        p.w1 = try p.a.alloc(u16, table * rank);
+        fill(p.w1, seed +% 5, .random);
+        p.codes = try p.a.alloc(u8, vocab * rank);
+        for (p.codes, 0..) |*q, i| q.* = @truncate((@as(u64, i) *% 2654435761 +% seed) >> 11);
+        p.scales = try p.a.alloc(u16, vocab * rank / 64);
+        p.biases = try p.a.alloc(u16, vocab * rank / 64);
+        for (p.scales, p.biases, 0..) |*sc, *bi, i| {
+            sc.* = c.toBf16(@as(f32, @floatFromInt(i % 7 + 1)) / 4096);
+            bi.* = c.toBf16(@as(f32, @floatFromInt(i % 5)) / 64 - 0.03);
+        }
+        if (p.which == .markov_step_bf16) {
+            p.w2 = try p.a.alloc(u16, vocab * rank);
+            fill(p.w2, seed +% 9, .random);
+        }
+        // the previous token every second word (the picks' layout): inside W1, its last row, or past the vocabulary
+        p.ids = try p.a.alloc(u32, 2 * s.rows);
+        for (p.ids, 0..) |*id, i| id.* = if (i % 2 == 1) 0xdead else switch ((i / 2) % 3) {
+            0 => @intCast((@as(u64, i) * 37 + seed) % table),
+            1 => table - 1,
+            else => vocab + @as(u32, @intCast(i)),
+        };
+        p.args[0] = try p.rig.input(std.mem.sliceAsBytes(p.src));
+        p.args[1] = try p.rig.input(std.mem.sliceAsBytes(p.w1));
+        p.args[2] = if (p.which == .markov_step_bf16) try p.rig.input(std.mem.sliceAsBytes(p.w2)) else try p.rig.input(p.codes);
+        p.args[3] = try p.rig.input(std.mem.sliceAsBytes(p.ids));
+        const args = [4]u32{ 2 * vocab, rank, vocab, 2 };
+        p.args[4] = try p.rig.input(std.mem.asBytes(&args));
+        p.args[5] = try p.rig.input(std.mem.sliceAsBytes(p.scales));
+        p.args[6] = try p.rig.input(std.mem.sliceAsBytes(p.biases));
+        const n: u32 = groups;
+        p.args[7] = try p.rig.input(std.mem.asBytes(&n));
+        p.y = try p.rig.output(p.count());
+        return true;
+    }
+
+    pub fn count(p: *Probe) usize {
+        return switch (p.which) {
+            .markov_step, .markov_step_bf16 => p.rows * 8,
+            .draft_ids => p.rows * 4,
+        };
+    }
+
+    pub fn run(p: *Probe) !void {
+        const pass = p.rig.begin();
+        const e = pass.e;
+        if (p.which == .draft_ids) {
+            e.setPipeline(p.pipes[0]);
+            e.setBuffer(p.args[0].buf, p.args[0].off, 0);
+            e.setBuffer(p.args[1].buf, p.args[1].off, 1);
+            e.setBuffer(p.y.buf, p.y.off, 2);
+            p.bad = try p.rig.scratch(4);
+            @memset(p.rig.bytes(p.bad, 4), 0);
+            e.setBuffer(p.bad.buf, p.bad.off, 3);
+            e.dispatchThreads(mtl.Size.of(p.rows, 1, 1), mtl.Size.of(32, 1, 1));
+            return p.rig.finish(pass);
+        }
+        const best = try p.rig.scratch(p.rows * groups * 4);
+        const at = try p.rig.scratch(p.rows * groups * 4);
+        e.setPipeline(p.pipes[0]);
+        for (p.args[0..5], 0..) |r, i| e.setBuffer(r.buf, r.off, i);
+        e.setBuffer(best.buf, best.off, 5);
+        e.setBuffer(at.buf, at.off, 6);
+        if (p.which == .markov_step) {
+            e.setBuffer(p.args[5].buf, p.args[5].off, 7);
+            e.setBuffer(p.args[6].buf, p.args[6].off, 8);
+        }
+        e.dispatchGroups(mtl.Size.of(groups, p.rows, 1), mtl.Size.of(256, 1, 1));
+        e.setPipeline(p.pipes[1]);
+        e.setBuffer(best.buf, best.off, 0);
+        e.setBuffer(at.buf, at.off, 1);
+        e.setBuffer(p.args[7].buf, p.args[7].off, 2);
+        e.setBuffer(p.y.buf, p.y.off, 3);
+        e.dispatchGroups(mtl.Size.of(p.rows, 1, 1), mtl.Size.of(256, 1, 1));
+        try p.rig.finish(pass);
+    }
+
+    pub fn reference(_: *Probe, want: []f64, mag: []f64) !void {
+        @memset(mag, 0);
+        @memset(want, 0); // the step and the ids check themselves (check)
+    }
+
+    /// Each stream's pick against float64 scores with the kernel's bf16 roundings: the best, but for near ties.
+    pub fn check(p: *Probe, _: g.Gate) !?[]const u8 {
+        const out = p.rig.bytes(p.y, p.count());
+        if (p.which == .draft_ids) { // exact: each stream's first pick, or 0 for a token past the vocabulary or a flag
+            var any = false;
+            for (0..p.rows) |r| {
+                const token = p.ids[r * stride];
+                const ok = token < vocab and p.ids[r * stride + 1] == 0;
+                any = any or !ok;
+                if (std.mem.readInt(u32, out[4 * r ..][0..4], .little) != (if (ok) token else 0)) return "an id differs from its pick";
+            }
+            const raised = std.mem.readInt(u32, p.rig.bytes(p.bad, 4)[0..4], .little);
+            if ((raised != 0) != any) return "the bad flag does not follow the flagged and invalid picks";
+            return null;
+        }
+        for (0..p.rows) |s| {
+            const token = std.mem.readInt(u32, out[8 * s ..][0..4], .little);
+            const flag = std.mem.readInt(u32, out[8 * s + 4 ..][0..4], .little);
+            const id = p.ids[2 * s];
+            var top: f64 = -std.math.inf(f64);
+            var mine: ?f64 = null;
+            var nan = false;
+            var bound: f64 = 0;
+            for (0..vocab) |v| {
+                var dot: f64 = 0;
+                var size: f64 = 0;
+                if (id < table) for (0..rank) |i| {
+                    const k = (v * rank + i) / 64;
+                    const w: f64 = if (p.which == .markov_step_bf16) c.fromBf16(p.w2[v * rank + i]) else @as(f64, c.fromBf16(p.scales[k])) * @as(f64, @floatFromInt(p.codes[v * rank + i])) + c.fromBf16(p.biases[k]);
+                    dot += w * c.fromBf16(p.w1[id * rank + i]);
+                    size += @abs(w * c.fromBf16(p.w1[id * rank + i]));
+                };
+                const base: f32 = c.fromBf16(p.src[2 * s * vocab + v]);
+                const score: f64 = c.fromBf16(c.toBf16(base + c.fromBf16(c.toBf16(@floatCast(dot)))));
+                if (std.math.isNan(score)) nan = true;
+                if (score > top) top = score;
+                if (v == token) mine = score;
+                // two bf16 steps of the score and the fp32 sum's own error
+                bound = @max(bound, @abs(score) * 0x1p-7 + c.gamma(rank, 0x1p-24) * size);
+            }
+            if (nan) {
+                if (flag != 1) return "a row with a NaN score is not flagged";
+                continue;
+            }
+            if (flag != 0) return "a finite row is flagged nonfinite";
+            const got = mine orelse return "the pick is past the vocabulary";
+            if (got < top - bound) return "the pick's score is below the row's best by more than its bound";
+        }
+        return null;
+    }
+};
diff --git a/zig/tests/contract/metal_lfm2_tap.zig b/zig/tests/contract/metal_lfm2_tap.zig
new file mode 100644
index 0000000000..021baffc9e
--- /dev/null
+++ b/zig/tests/contract/metal_lfm2_tap.zig
@@ -0,0 +1,137 @@
+//! LFM2's tap copy for an external drafter (lfm2_tap): a layer's rows into their tap's columns, the others kept.
+const std = @import("std");
+const mtl = @import("metal");
+const contract = @import("contract");
+const sources = @import("kernel_sources");
+const c = contract.spec;
+const g = contract.gates;
+const rig_ = @import("rig.zig");
+const controls = @import("metal_lfm2_controls.zig");
+
+const hidden = 2048;
+const taps = 5;
+pub const name = "metal lfm2 tap copy";
+
+/// rows: one decode row, a verify window, a shared round's 32 and a 2,048-row prompt chunk.
+const shapes = [_]c.Shape{ .{ .rows = 1, .n = taps * hidden, .k = 1 }, .{ .rows = 10, .n = taps * hidden, .k = 1 }, .{ .rows = 32, .n = taps * hidden, .k = 1 }, .{ .rows = 2048, .n = taps * hidden, .k = 1 } };
+
+fn none(_: c.Shape) usize {
+    return 0;
+}
+
+pub fn spec() c.Spec {
+    return .{ .name = name, .accum = .none, .depth = none, .out = .bf16, .served = &shapes, .sums = .{ .f16 = 0, .bf16 = 0, .why = "a copy moves values: no sums" } };
+}
+
+/// A bf16 value for element `i` over signs and binades; the nonfinite fill plants NaN and infinities.
+fn value(i: usize, seed: u64, fill: g.Fill) u16 {
+    if (fill == .nonfinite) switch ((@as(u64, i) *% 2654435761 +% seed) % 9973) {
+        0 => return 0x7fc0,
+        1 => return 0x7f80,
+        2 => return 0xff80,
+        else => {},
+    };
+    const h: u64 = (@as(u64, i) *% 0x9e3779b97f4a7c15 +% seed *% 0xbf58476d1ce4e5b9) >> 40;
+    const mant: f32 = @as(f32, @floatFromInt(h % 1024)) / 1024 + 1;
+    const exp: i32 = @as(i32, @intCast((h >> 10) % 8)) - 4;
+    const v = std.math.ldexp(mant, exp) * @as(f32, if (((h >> 15) & 1) == 0) 1 else -1);
+    return c.toBf16(v);
+}
+
+pub const Probe = struct {
+    a: std.mem.Allocator,
+    rig: rig_.Rig,
+    pipe: mtl.Pipeline,
+    mutation: controls.Mutation,
+    rows: usize = 0,
+    src: []u16 = &.{}, // H rows
+    prior: []u16 = &.{}, // the taps rows as the call finds them (the other taps' columns must stay)
+    args: [2]rig_.Ref = undefined,
+    y: rig_.Ref = undefined,
+
+    pub fn init(a: std.mem.Allocator, device: mtl.Device, queue: mtl.Queue, mutation: controls.Mutation) !Probe {
+        const text = try controls.source(a, mutation);
+        defer if (mutation != .none) a.free(text);
+        return .{ .a = a, .rig = .{ .a = a, .device = device, .queue = queue }, .pipe = try rig_.pipeline(device, text, "lfm2_tap"), .mutation = mutation };
+    }
+
+    fn drop(p: *Probe) void {
+        p.a.free(p.src);
+        p.a.free(p.prior);
+        p.src = &.{};
+        p.prior = &.{};
+        p.rig.reset();
+    }
+
+    pub fn deinit(p: *Probe) void {
+        p.drop();
+        p.rig.deinit();
+        p.pipe.deinit();
+    }
+
+    const vt = g.hooks(Probe);
+    pub fn kernel(p: *Probe) g.Kernel {
+        var s = spec();
+        if (p.mutation != .none) s.name = p.mutation.name();
+        return .{ .ctx = p, .vt = &vt, .spec = s, .control = p.mutation.gate() };
+    }
+
+    fn fill(out: []u16, seed: u64, f: g.Fill) void {
+        for (out, 0..) |*v, i| v.* = value(i, seed, f);
+    }
+
+    pub fn prepare(p: *Probe, s: c.Shape, f: g.Fill, seed: u64) !bool {
+        p.drop();
+        if (s.n != taps * hidden or s.rows == 0) return false;
+        p.rows = s.rows;
+        p.src = try p.a.alloc(u16, s.rows * hidden);
+        fill(p.src, seed, f);
+        p.prior = try p.a.alloc(u16, s.rows * taps * hidden);
+        fill(p.prior, seed +% 3, .random);
+        p.args[0] = try p.rig.input(std.mem.sliceAsBytes(p.src));
+        const at = [2]u32{ taps * hidden, 2 * hidden }; // the third tap's columns
+        p.args[1] = try p.rig.input(std.mem.asBytes(&at));
+        p.y = try p.rig.output(p.count() * 2);
+        return true;
+    }
+
+    pub fn count(p: *Probe) usize {
+        return p.rows * taps * hidden;
+    }
+
+    pub fn run(p: *Probe) !void {
+        @memcpy(p.rig.bytes(p.y, p.count() * 2), std.mem.sliceAsBytes(p.prior));
+        const pass = p.rig.begin();
+        const e = pass.e;
+        e.setPipeline(p.pipe);
+        e.setBuffer(p.args[0].buf, p.args[0].off, 0);
+        e.setBuffer(p.y.buf, p.y.off, 1);
+        e.setBuffer(p.args[1].buf, p.args[1].off, 2);
+        e.dispatchThreads(mtl.Size.of(hidden / 8, p.rows, 1), mtl.Size.of(256, 1, 1));
+        return p.rig.finish(pass);
+    }
+
+    pub fn reference(p: *Probe, want: []f64, mag: []f64) !void {
+        for (want, mag, p.prior) |*w, *m, v| { // the other taps' columns keep what the call found
+            w.* = c.fromBf16(v);
+            m.* = @abs(w.*);
+        }
+        for (0..p.rows) |r| for (0..hidden) |i| {
+            const v = c.fromBf16(p.src[r * hidden + i]);
+            want[r * taps * hidden + 2 * hidden + i] = v;
+            mag[r * taps * hidden + 2 * hidden + i] = @abs(v);
+        };
+    }
+
+    /// The copy is exact: the third tap's columns hold H's bits, the others what the call found.
+    pub fn check(p: *Probe, _: g.Gate) !?[]const u8 {
+        const out = std.mem.bytesAsSlice(u16, p.rig.bytes(p.y, p.count() * 2));
+        for (out, p.prior, 0..) |got, before, i| {
+            const r = i / (taps * hidden);
+            const col = i % (taps * hidden);
+            const want = if (col >= 2 * hidden and col < 3 * hidden) p.src[r * hidden + col - 2 * hidden] else before;
+            if (got != want) return "an output differs from the copy's bits";
+        }
+        return null;
+    }
+};
diff --git a/zig/tests/contract/metal_main.zig b/zig/tests/contract/metal_main.zig
index 46801e171c..52a0d205c3 100644
--- a/zig/tests/contract/metal_main.zig
+++ b/zig/tests/contract/metal_main.zig
@@ -27,6 +27,11 @@ const gemma_mixed = @import("metal_gemma4_mixed.zig");
 const lfm2_argmax = @import("metal_lfm2_argmax.zig");
 const lfm2_streams = @import("metal_lfm2_streams.zig");
 const lfm2_controls = @import("metal_lfm2_controls.zig");
+const lfm2_tap = @import("metal_lfm2_tap.zig");
+const lfm2_dspark = @import("metal_lfm2_dspark.zig");
+const lfm2_bf16 = @import("metal_lfm2_bf16.zig");
+const lfm2_attn = @import("metal_lfm2_attn.zig");
+const lfm2_conf = @import("metal_lfm2_confidence.zig");
 const g = contract.gates;
 const usage = "usage: tf-kernel-contract [--only TEXT] [--no-gates] [--no-limits] [--offline DIR] [--seed N] [--repro] [--rotary-long] [--rotary-accuracy FILE]";
 
@@ -191,6 +196,101 @@ pub fn main(init: std.process.Init) !u8 {
             try kernels.append(a, p.kernel());
         }
     }
+    var tap_list: std.ArrayList(*lfm2_tap.Probe) = .empty;
+    defer {
+        for (tap_list.items) |p| {
+            p.deinit();
+            a.destroy(p);
+        }
+        tap_list.deinit(a);
+    }
+    for ([_]lfm2_controls.Mutation{ .none, .tap_packed_rows, .tap_clobbers_column }) |m| {
+        if (!wanted(o, if (m == .none) lfm2_tap.name else m.name())) continue;
+        const p = try a.create(lfm2_tap.Probe);
+        errdefer a.destroy(p);
+        p.* = try lfm2_tap.Probe.init(a, device, queue, m);
+        try tap_list.append(a, p);
+        try kernels.append(a, p.kernel());
+    }
+    var drafter_list: std.ArrayList(*lfm2_dspark.Probe) = .empty;
+    var block_list: std.ArrayList(*lfm2_attn.Probe) = .empty;
+    var bf16_list: std.ArrayList(*lfm2_bf16.Probe) = .empty;
+    defer {
+        for (drafter_list.items) |p| {
+            p.deinit();
+            a.destroy(p);
+        }
+        for (block_list.items) |p| {
+            p.deinit();
+            a.destroy(p);
+        }
+        for (bf16_list.items) |p| {
+            p.deinit();
+            a.destroy(p);
+        }
+        drafter_list.deinit(a);
+        block_list.deinit(a);
+        bf16_list.deinit(a);
+    }
+    for (std.enums.values(lfm2_controls.Mutation)) |m| {
+        const drafter_which: ?lfm2_dspark.Which = switch (m) {
+            .markov_nan_dropped, .markov_first_prev => .markov_step,
+            .markov_bf16_nan_dropped, .markov_bf16_first_prev => .markov_step_bf16,
+            .draft_ids_unzeroed => .draft_ids,
+            else => null,
+        };
+        if (m == .none or drafter_which != null) {
+            for (std.enums.values(lfm2_dspark.Which)) |w| {
+                if (m != .none and w != drafter_which.?) continue;
+                if (!wanted(o, if (m == .none) lfm2_dspark.spec(w).name else m.name())) continue;
+                const p = try a.create(lfm2_dspark.Probe);
+                errdefer a.destroy(p);
+                p.* = try lfm2_dspark.Probe.init(a, device, queue, w, m);
+                try drafter_list.append(a, p);
+                try kernels.append(a, p.kernel());
+            }
+        }
+        const bf16_which: ?lfm2_bf16.Which = switch (m) {
+            .bf16_rows_short_k, .bf16_rows_last_row => .rows,
+            .bf16_tile_untransposed, .bf16_tile_last_column => .tile,
+            else => null,
+        };
+        if (m == .none or bf16_which != null) {
+            for (std.enums.values(lfm2_bf16.Which)) |w| {
+                if (m != .none and w != bf16_which.?) continue;
+                if (!wanted(o, if (m == .none) lfm2_bf16.spec(w).name else m.name())) continue;
+                const p = try a.create(lfm2_bf16.Probe);
+                errdefer a.destroy(p);
+                p.* = try lfm2_bf16.Probe.init(a, device, queue, w, m);
+                try bf16_list.append(a, p);
+                try kernels.append(a, p.kernel());
+            }
+        }
+        if (m == .none or m == .block_attention_causal) {
+            if (!wanted(o, if (m == .none) lfm2_attn.name else m.name())) continue;
+            const p = try a.create(lfm2_attn.Probe);
+            errdefer a.destroy(p);
+            p.* = try lfm2_attn.Probe.init(a, device, queue, m);
+            try block_list.append(a, p);
+            try kernels.append(a, p.kernel());
+        }
+    }
+    var conf_list: std.ArrayList(*lfm2_conf.Probe) = .empty;
+    defer {
+        for (conf_list.items) |p| {
+            p.deinit();
+            a.destroy(p);
+        }
+        conf_list.deinit(a);
+    }
+    for ([_]lfm2_controls.Mutation{ .none, .confidence_no_w1 }) |m| {
+        if (!wanted(o, if (m == .none) lfm2_conf.name else m.name())) continue;
+        const p = try a.create(lfm2_conf.Probe);
+        errdefer a.destroy(p);
+        p.* = try lfm2_conf.Probe.init(a, device, queue, m);
+        try conf_list.append(a, p);
+        try kernels.append(a, p.kernel());
+    }
     var rows_list: std.ArrayList(*rows_k.Row) = .empty;
     var proj_list: std.ArrayList(*affine_k.Proj) = .empty;
     defer for (rows_list.items) |r| r.deinit();
diff --git a/zig/tests/lfm2_dspark.zig b/zig/tests/lfm2_dspark.zig
new file mode 100644
index 0000000000..4fb630fb13
--- /dev/null
+++ b/zig/tests/lfm2_dspark.zig
@@ -0,0 +1,398 @@
+//! LFM2's DSpark drafter on the GPU against an fp32 host reference of the released model, on the real weights.
+const std = @import("std");
+const mtl = @import("metal");
+const tf = @import("tensorfold");
+const q = tf.lfm2_moe;
+const c = q.config;
+const st = q.state;
+const ck = tf.checkpoint;
+const quant = q.dspark_quant;
+
+const hd = c.head_dim;
+const kw = c.kv_heads * hd;
+const qw = c.query_heads * hd;
+
+/// The drafter's tensors as fp32 on the host, in the checkpoint's own layout (interleaved RoPE pairs).
+const Ref = struct {
+    gpa: std.mem.Allocator,
+    check: ck.Checkpoint,
+    cfg: q.dspark_config.Config,
+
+    fn get(r: *const Ref, name: []const u8) ![]f32 {
+        const t = try r.check.get(name);
+        const src = t.host(u16);
+        const out = try r.gpa.alloc(f32, src.len);
+        for (out, src) |*o, v| o.* = quant.toF32(v);
+        return out;
+    }
+
+    fn layer(r: *const Ref, buf: []u8, i: usize, part: []const u8) ![]f32 {
+        return r.get(try std.fmt.bufPrint(buf, "layers.{d}.{s}.weight", .{ i, part }));
+    }
+};
+
+/// y[n] = W[n, k] x[k] for each of `rows` rows, on every core.
+fn matmul(gpa: std.mem.Allocator, w: []const f32, x: []const f32, y: []f32, n: usize, k: usize, rows: usize) !void {
+    const Job = struct {
+        fn run(w_: []const f32, x_: []const f32, y_: []f32, n_: usize, k_: usize, rows_: usize, from: usize, to: usize) void {
+            for (0..rows_) |r| for (from..to) |col| {
+                var s: f32 = 0;
+                const wr = w_[col * k_ ..][0..k_];
+                const xr = x_[r * k_ ..][0..k_];
+                for (wr, xr) |a, b| s += a * b;
+                y_[r * n_ + col] = s;
+            };
+        }
+    };
+    const threads = @min(std.Thread.getCpuCount() catch 1, 16);
+    const per = (n + threads - 1) / threads;
+    const hs = try gpa.alloc(std.Thread, threads);
+    defer gpa.free(hs);
+    var made: usize = 0;
+    defer for (hs[0..made]) |h| h.join(); // a failed spawn still joins the workers already running
+    var at: usize = 0;
+    while (at < n) : (at += per) {
+        hs[made] = try std.Thread.spawn(.{}, Job.run, .{ w, x, y, n, k, rows, at, @min(n, at + per) });
+        made += 1;
+    }
+}
+
+fn rms(x: []f32, gain: []const f32) void {
+    var ss: f32 = 0;
+    for (x) |v| ss += v * v;
+    const inv = 1 / @sqrt(ss / @as(f32, @floatFromInt(x.len)) + c.eps);
+    for (x, gain) |*v, g| v.* = v.* * inv * g;
+}
+
+/// Interleaved RoPE at `pos` over each head of `x` (pairs 2i, 2i + 1).
+fn rope(x: []f32, pos: u64, theta: f32) void {
+    var h: usize = 0;
+    while (h < x.len) : (h += hd) for (0..hd / 2) |i| {
+        const angle = @as(f32, @floatFromInt(pos)) * std.math.pow(f32, theta, -@as(f32, @floatFromInt(i)) / (hd / 2));
+        const a = x[h + 2 * i];
+        const b = x[h + 2 * i + 1];
+        x[h + 2 * i] = a * @cos(angle) - b * @sin(angle);
+        x[h + 2 * i + 1] = a * @sin(angle) + b * @cos(angle);
+    };
+}
+
+/// The target's embedding row `id`, dequantized from its codes at the checkpoint's own width (scale * q + bias).
+fn embedRow(m: *q.Model, id: u32, out: []f32) void {
+    const e = m.weights.embedding;
+    const bits: usize = e.bits;
+    const row_bytes = c.hidden * bits / 8;
+    const codes = (e.w.contents() + e.w_off)[@as(usize, id) * row_bytes ..][0..row_bytes];
+    const sc = @as([*]const u16, @ptrCast(@alignCast(e.scales.contents() + e.s_off)))[@as(usize, id) * c.hidden / 64 ..][0 .. c.hidden / 64];
+    const bi = @as([*]const u16, @ptrCast(@alignCast(e.biases.contents() + e.b_off)))[@as(usize, id) * c.hidden / 64 ..][0 .. c.hidden / 64];
+    for (0..c.hidden) |j| {
+        // codes are a little-endian bit stream: code j takes bits [j * bits, (j + 1) * bits)
+        const at = j * bits;
+        var word: u32 = codes[at / 8];
+        if (at / 8 + 1 < row_bytes) word |= @as(u32, codes[at / 8 + 1]) << 8;
+        const qv = (word >> @intCast(at % 8)) & ((@as(u32, 1) << @intCast(bits)) - 1);
+        out[j] = quant.toF32(sc[j / 64]) * @as(f32, @floatFromInt(qv)) + quant.toF32(bi[j / 64]);
+    }
+}
+
+/// GPU bf16 row against the reference's row + bias: cosine and worst difference.
+fn compare(label: []const u8, gpu: []const u16, row: []const f32, bias: []const f32) void {
+    var dot: f64 = 0;
+    var gg: f64 = 0;
+    var rr: f64 = 0;
+    var worst: f32 = 0;
+    for (gpu, row, bias) |g, b, m2| {
+        const x = quant.toF32(g);
+        const y = b + m2;
+        dot += x * y;
+        gg += x * x;
+        rr += y * y;
+        worst = @max(worst, @abs(x - y));
+    }
+    std.debug.print("{s}: cosine {d:.5}, worst difference {d:.3}\n", .{ label, dot / @sqrt(gg * rr), worst });
+}
+
+/// A hold's GPU ms: the blocks held in a signalled command buffer, waited on and read for its GPU times.
+fn gpuHold(d: *q.dspark.Drafter, blocks: []const q.dspark_block.Block) !f64 {
+    d.signalled += 1;
+    const cb = (try q.dspark_block.hold(d, blocks, .{ .event = d.event, .value = d.signalled })).?;
+    defer cb.release();
+    cb.wait();
+    if (cb.failure() != null) return error.GpuFailed;
+    return (cb.gpuEnd() - cb.gpuStart()) * 1000;
+}
+
+fn absorb(d: *q.dspark.Drafter, piece: q.dspark_block.Piece) !void {
+    const run = q.dspark_block.begin(d);
+    try q.dspark_block.absorbPass(d, run.e, &.{piece});
+    try q.dspark_block.end(run.cb, run.e);
+}
+
+/// Served rounds through the drafter's interface: after four warm rounds, no host allocation and one hold pass a round.
+fn steady(gpa: std.mem.Allocator, d: *q.dspark.Drafter, taps: mtl.Buffer, ids: []const u32, ctx: usize) !void {
+    const lanes = tf.lanes;
+    var s = try lanes.Stream.init(gpa, .{ .id = "steady", .prompt = ids[0 .. ctx + 1], .max_new = 160 });
+    defer s.deinit(gpa);
+    const dr = d.drafter();
+    try dr.open(&s);
+    defer dr.release(&s);
+    const width: u32 = @intCast(d.tapBytes());
+    const feats = struct {
+        fn at(buf: mtl.Buffer, row: usize, rows: usize, w: u32) lanes.backend.Features {
+            return .{ .buffer = @intFromPtr(buf.id), .offset = row * w, .rows = @intCast(rows), .row_bytes = w, .space = .device, .dtype = .bf16 };
+        }
+    };
+    try dr.absorb(&.{.{ .stream = &s, .features = feats.at(taps, 0, ctx, width), .start = 0, .follow = &.{} }});
+    var counted = std.testing.FailingAllocator.init(gpa, .{});
+    var anchor: u64 = ctx;
+    const rounds = 24;
+    const warm = 4;
+    var holds: u64 = 0;
+    for (0..rounds) |r| {
+        if (r == warm) {
+            d.gpa = counted.allocator();
+            holds = d.signalled;
+        }
+        try dr.hold(&.{.{ .stream = &s, .pending = ids[@intCast(anchor % ctx)], .position = anchor + 1, .depth = 3 }});
+        var chances: [3]f64 = undefined;
+        _ = try dr.chances(&s, &chances);
+        var drafts: [3]u32 = undefined;
+        try dr.held(&.{&s}, &.{&drafts});
+        const rows = r % 3 + 1;
+        const at: usize = @intCast(anchor % (ctx - 3));
+        try dr.absorb(&.{.{ .stream = &s, .features = feats.at(taps, at, rows, width), .start = anchor, .follow = &.{}, .prompt = false }});
+        anchor += rows;
+    }
+    d.gpa = gpa;
+    const n = rounds - warm;
+    std.debug.print("steady rounds: {d} rounds of hold, chances, held and a verified absorb: {d} host allocations, {d} resizes, {d} unwaited holds\n", .{ n, counted.allocations, counted.resize_index, d.signalled - holds });
+    if (counted.allocations != 0 or counted.resize_index != 0 or d.signalled - holds != n) return error.SteadyRoundsAllocate;
+}
+
+pub fn main(init: std.process.Init) !void {
+    const gpa = init.gpa;
+    const args = try init.minimal.args.toSlice(init.arena.allocator());
+    if (args.len < 4 or args.len > 6) return error.ExpectedModelDrafterPromptLengthRowsBits;
+    const bits: u8 = if (args.len == 6) try std.fmt.parseInt(u8, args[5], 10) else 0;
+    const length = try std.fmt.parseInt(usize, args[3], 10);
+    const pool = mtl.objc.Pool.push();
+    defer pool.pop();
+    const m = try q.Model.load(gpa, init.io, args[1]);
+    defer m.deinit();
+    const d = try q.dspark.Drafter.init(gpa, init.io, m, args[2], .{ .capacity = length + 64, .bits = bits });
+    defer d.deinit();
+    const cfg = d.config;
+    // the compared block's rows (a hold of depth d runs a d-row block)
+    const block: u32 = if (args.len >= 5) try std.fmt.parseInt(u32, args[4], 10) else cfg.block;
+    if (block == 0 or block > cfg.block) return error.BadBlockRows;
+    var scratch = try st.Scratch.init(gpa, m.device, &m.config.attention, length);
+    defer scratch.deinit();
+    const width = cfg.tap_count * c.hidden;
+    var taps: st.Taps = .{ .count = cfg.tap_count, .buf = try scratch.memory.alloc(length * width * 2) };
+    @memcpy(taps.layers[0..cfg.tap_count], cfg.taps[0..cfg.tap_count]);
+    scratch.taps = taps;
+    var cache = try st.Cache.init(gpa, m.device, &m.config.attention, length + 16);
+    defer cache.deinit();
+    const ids = try gpa.alloc(u32, length);
+    defer gpa.free(ids);
+    for (ids, 0..) |*id, i| id.* = @intCast((i * 7919 + 13) % 120000);
+    try q.forward.run(m, &scratch, &.{.{ .cache = &cache, .rows = length }}, ids, false, .last);
+    // the context: rows [0, length - 1); the pending token is the last id, at position length - 1
+    const ctx = length - 1;
+    const lane = try d.newLane(length + 32);
+    defer d.dropLane(lane);
+    var at: usize = 0;
+    while (at < ctx) : (at += q.dspark.absorb_rows) {
+        const rows = @min(q.dspark.absorb_rows, ctx - at);
+        try absorb(d, .{ .lane = lane, .src = .{ .buf = taps.buf, .off = at * width * 2 }, .rows = rows, .p0 = at });
+    }
+    lane.end = ctx;
+    _ = try q.dspark_block.hold(d, &.{.{ .lane = lane, .pending = ids[ctx], .anchor = ctx, .depth = block }}, null);
+    var held: [16]u32 = undefined;
+    @memcpy(held[0..block], lane.held[0..block]);
+    var conf: [16]f32 = undefined;
+    @memcpy(conf[0..block], lane.conf[0..block]);
+    const gpu = held[0..block];
+    for ([_]usize{ 1, 4, 16, 128, q.dspark.absorb_rows }) |rows| {
+        if (rows > ctx) continue;
+        var best: f64 = std.math.floatMax(f64);
+        for (0..5) |_| {
+            const t0 = std.Io.Clock.awake.now(init.io);
+            try absorb(d, .{ .lane = lane, .src = .{ .buf = taps.buf, .off = (ctx - rows) * width * 2 }, .rows = rows, .p0 = ctx - rows });
+            best = @min(best, @as(f64, @floatFromInt(t0.durationTo(std.Io.Clock.awake.now(init.io)).toNanoseconds())) / 1e6);
+        }
+        std.debug.print("absorb of {d} rows: {d:.2} ms (best of 5)\n", .{ rows, best });
+    }
+    const depths = [_]u32{ 1, 3, cfg.block };
+    for (depths) |depth| {
+        var best: f64 = std.math.floatMax(f64);
+        for (0..5) |_| {
+            const t0 = std.Io.Clock.awake.now(init.io);
+            _ = try q.dspark_block.hold(d, &.{.{ .lane = lane, .pending = ids[ctx], .anchor = ctx, .depth = depth }}, null);
+            best = @min(best, @as(f64, @floatFromInt(t0.durationTo(std.Io.Clock.awake.now(init.io)).toNanoseconds())) / 1e6);
+        }
+        std.debug.print("hold at depth {d}: {d:.2} ms (best of 5)\n", .{ depth, best });
+    }
+    // a shared round's hold: S streams' blocks of d rows in one pass (S x d at most pass_rows), each on this context
+    var lanes_: [16]*q.dspark.Lane = undefined;
+    lanes_[0] = lane;
+    var made: usize = 1;
+    defer for (lanes_[1..made]) |l| d.dropLane(l);
+    while (made < lanes_.len) : (made += 1) {
+        const l = try d.newLane(length + 32);
+        lanes_[made] = l;
+        var from: usize = 0;
+        while (from < ctx) : (from += q.dspark.absorb_rows) {
+            const rows = @min(q.dspark.absorb_rows, ctx - from);
+            try absorb(d, .{ .lane = l, .src = .{ .buf = taps.buf, .off = from * width * 2 }, .rows = rows, .p0 = from });
+        }
+        l.end = ctx;
+    }
+    for ([_]usize{ 2, 4, 8, 16 }) |streams| for ([_]u32{ 1, 2, 3, 4, 8 }) |depth| {
+        if (streams * depth > q.dspark.pass_rows) continue;
+        var blocks: [16]q.dspark_block.Block = undefined;
+        for (blocks[0..streams], lanes_[0..streams]) |*b, l| b.* = .{ .lane = l, .pending = ids[ctx], .anchor = ctx, .depth = depth };
+        var best: f64 = std.math.floatMax(f64);
+        var gpu_best: f64 = std.math.floatMax(f64);
+        for (0..5) |_| {
+            const t0 = std.Io.Clock.awake.now(init.io);
+            _ = try q.dspark_block.hold(d, blocks[0..streams], null);
+            best = @min(best, @as(f64, @floatFromInt(t0.durationTo(std.Io.Clock.awake.now(init.io)).toNanoseconds())) / 1e6);
+            gpu_best = @min(gpu_best, try gpuHold(d, blocks[0..streams]));
+        }
+        std.debug.print("hold of {d} streams at depth {d}: {d:.2} ms, GPU {d:.2} ms (best of 5)\n", .{ streams, depth, best, gpu_best });
+    };
+    try steady(gpa, d, taps.buf, ids, ctx);
+    _ = try q.dspark_block.hold(d, &.{.{ .lane = lane, .pending = ids[ctx], .anchor = ctx, .depth = block }}, null);
+    // the host reference, fp32 throughout
+    var r: Ref = .{ .gpa = gpa, .check = ck.Checkpoint.init(gpa), .cfg = cfg };
+    defer r.check.deinit();
+    const path = try std.fs.path.joinZ(gpa, &.{ args[2], "model.safetensors" });
+    defer gpa.free(path);
+    try r.check.addFile(m.device, path, "");
+    var arena = std.heap.ArenaAllocator.init(gpa);
+    defer arena.deinit();
+    r.gpa = arena.allocator();
+    const a = r.gpa;
+    const n = block;
+    const tap_rows = taps.buf.slice(u16, length * width);
+    const feats = try a.alloc(f32, ctx * width);
+    for (feats, tap_rows[0 .. ctx * width]) |*f, v| f.* = quant.toF32(v);
+    const hctx = try a.alloc(f32, ctx * c.hidden);
+    try matmul(gpa, try r.get("fc.weight"), feats, hctx, c.hidden, width, ctx);
+    const hn = try r.get("hidden_norm.weight");
+    for (0..ctx) |j| rms(hctx[j * c.hidden ..][0..c.hidden], hn);
+    const h = try a.alloc(f32, n * c.hidden);
+    for (0..n) |i| embedRow(m, if (i == 0) ids[ctx] else cfg.mask, h[i * c.hidden ..][0..c.hidden]);
+    const keys = ctx + n;
+    var name: [96]u8 = undefined;
+    const x = try a.alloc(f32, n * c.hidden);
+    for (0..cfg.layers) |li| {
+        const kmat = try r.layer(&name, li, "self_attn.k_proj");
+        const vmat = try r.layer(&name, li, "self_attn.v_proj");
+        const qn = try r.layer(&name, li, "self_attn.q_norm");
+        const kn = try r.layer(&name, li, "self_attn.k_norm");
+        const kk = try a.alloc(f32, keys * kw);
+        const vv = try a.alloc(f32, keys * kw);
+        try matmul(gpa, kmat, hctx, kk, kw, c.hidden, ctx);
+        try matmul(gpa, vmat, hctx, vv, kw, c.hidden, ctx);
+        @memcpy(x, h);
+        for (0..n) |i| rms(x[i * c.hidden ..][0..c.hidden], try r.layer(&name, li, "input_layernorm"));
+        const qq = try a.alloc(f32, n * qw);
+        try matmul(gpa, try r.layer(&name, li, "self_attn.q_proj"), x, qq, qw, c.hidden, n);
+        try matmul(gpa, kmat, x, kk[ctx * kw ..], kw, c.hidden, n);
+        try matmul(gpa, vmat, x, vv[ctx * kw ..], kw, c.hidden, n);
+        for (0..keys) |j| for (0..c.kv_heads) |kh| {
+            const row = kk[j * kw + kh * hd ..][0..hd];
+            rms(row, kn);
+            rope(row, j, cfg.theta);
+        };
+        for (0..n) |i| for (0..c.query_heads) |qh| {
+            const row = qq[i * qw + qh * hd ..][0..hd];
+            rms(row, qn);
+            rope(row, ctx + i, cfg.theta);
+        };
+        const o = try a.alloc(f32, n * qw);
+        const sc = try a.alloc(f32, keys);
+        for (0..n) |i| for (0..c.query_heads) |qh| {
+            const kh = qh / (c.query_heads / c.kv_heads);
+            var top: f32 = -std.math.inf(f32);
+            for (0..keys) |j| {
+                var s: f32 = 0;
+                for (0..hd) |t| s += qq[i * qw + qh * hd + t] * kk[j * kw + kh * hd + t];
+                sc[j] = s / @sqrt(@as(f32, hd));
+                top = @max(top, sc[j]);
+            }
+            var sum: f32 = 0;
+            for (sc) |*s| {
+                s.* = @exp(s.* - top);
+                sum += s.*;
+            }
+            for (0..hd) |t| {
+                var acc: f32 = 0;
+                for (0..keys) |j| acc += sc[j] * vv[j * kw + kh * hd + t];
+                o[i * qw + qh * hd + t] = acc / sum;
+            }
+        };
+        const y = try a.alloc(f32, n * c.hidden);
+        try matmul(gpa, try r.layer(&name, li, "self_attn.o_proj"), o, y, c.hidden, qw, n);
+        for (h, y) |*v, w| v.* += w;
+        @memcpy(x, h);
+        for (0..n) |i| rms(x[i * c.hidden ..][0..c.hidden], try r.layer(&name, li, "post_attention_layernorm"));
+        const gate = try a.alloc(f32, n * cfg.intermediate);
+        const up = try a.alloc(f32, n * cfg.intermediate);
+        try matmul(gpa, try r.layer(&name, li, "mlp.gate_proj"), x, gate, cfg.intermediate, c.hidden, n);
+        try matmul(gpa, try r.layer(&name, li, "mlp.up_proj"), x, up, cfg.intermediate, c.hidden, n);
+        for (gate, up) |*g, u| g.* = g.* / (1 + @exp(-g.*)) * u;
+        try matmul(gpa, try r.layer(&name, li, "mlp.down_proj"), gate, y, c.hidden, cfg.intermediate, n);
+        for (h, y) |*v, w| v.* += w;
+    }
+    const fin = try r.get("norm.weight");
+    for (0..n) |i| rms(h[i * c.hidden ..][0..c.hidden], fin);
+    const head = try a.alloc(f32, c.vocab * c.hidden);
+    for (0..c.vocab) |v| embedRow(m, @intCast(v), head[v * c.hidden ..][0..c.hidden]);
+    const base = try a.alloc(f32, n * c.vocab);
+    try matmul(gpa, head, h, base, c.vocab, c.hidden, n);
+    const w1 = try r.get("markov_head.markov_w1.weight");
+    const w2 = try r.get("markov_head.markov_w2.weight");
+    const bias = try a.alloc(f32, c.vocab);
+    const proj = try r.get("confidence_head.proj.weight");
+    const proj_bias = (try r.get("confidence_head.proj.bias"))[0];
+    var conf_worst: f32 = 0;
+    var prev = ids[ctx];
+    var same: usize = 0;
+    var worst: f32 = 0;
+    for (0..n) |i| {
+        try matmul(gpa, w2, w1[@as(usize, prev) * cfg.rank ..][0..cfg.rank], bias, c.vocab, cfg.rank, 1);
+        const row = base[i * c.vocab ..][0..c.vocab];
+        var best: usize = 0;
+        var second: usize = 1;
+        for (row, bias, 0..) |b, m2, v| {
+            const s = b + m2;
+            if (s > row[best] + bias[best]) {
+                second = best;
+                best = v;
+            } else if (v != best and s > row[second] + bias[second]) second = v;
+        }
+        const margin = (row[best] + bias[best]) - (row[second] + bias[second]);
+        if (i == 0) { // the GPU keeps the base logits (the Markov step adds its bias on the way to the pick)
+            const zero = try a.alloc(f32, c.vocab);
+            @memset(zero, 0);
+            compare("row 0 base logits", d.s.logits.slice(u16, c.vocab), row, zero);
+        }
+        const ok = gpu[i] == best;
+        same += @intFromBool(ok);
+        std.debug.print("step {d}: reference {d} (margin {d:.3}, second {d}), GPU {d} {s}\n", .{ i, best, margin, second, gpu[i], if (ok) "equal" else "DIFFERENT" });
+        if (!ok) worst = @max(worst, margin);
+        // the confidence head: [final norm row i, W1 of the token before draft i] . proj + bias, through a sigmoid
+        var logit: f32 = proj_bias;
+        for (h[i * c.hidden ..][0..c.hidden], proj[0..c.hidden]) |x0, w0| logit += x0 * w0;
+        for (w1[@as(usize, prev) * cfg.rank ..][0..cfg.rank], proj[c.hidden..]) |x0, w0| logit += x0 * w0;
+        const want = 1 / (1 + @exp(-logit));
+        conf_worst = @max(conf_worst, @abs(want - conf[i]));
+        std.debug.print("step {d}: confidence reference {d:.4}, GPU {d:.4}\n", .{ i, want, conf[i] });
+        prev = gpu[i]; // teacher-forced: step i + 1 follows the GPU's pick, so each step is compared alone
+    }
+    std.debug.print("the reference's largest margin over a different GPU pick: {d:.3}\n", .{worst});
+    std.debug.print("the confidences' worst difference from the fp32 reference: {d:.5}\n", .{conf_worst});
+    std.debug.print("{d} of {d} drafts equal the fp32 reference's picks on the same chain ({d}-token context)\n", .{ same, n, ctx });
+}