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Qwen3.5-9B grow-as-used K/V in Zig engine - #1896

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@grantoverton grantoverton commented Nov 2, 2026 •

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Stacks on #1851. On the 27B engine every slot takes K/V rows for the whole --context the first time it is used, so a 9B serve at --parallel 4 --context 65536 holds 8 GiB of K/V for streams that mostly use a few thousand tokens. With TF_Q27_KV_GROW=<rows> a slot starts at that many rows, grows as its stream does, and gives the rows back when its stream ends; drafter tap rings do the same. Unset, nothing changes. Replies are byte-identical with it on or off.

This branch carries #1851 (and through it #1826 and #1125) until those merge, so please review the last three commits here (from "qwen27: grow a slot's K/V as its stream grows" on).

What this changes

  1. Grow a slot's K/V as its stream grows (kv_grow.zig, decode_round.zig, snapshot.zig, qwen27_served.zig). With TF_Q27_KV_GROW=<rows> (a multiple of 16; 0 or unset is off) a slot starts at that many rows. When a round, a restored state or a moved slot needs more, it grows to the need rounded up to the step, or a quarter more than it holds, whichever is larger, at most the context. Growth goes one attention layer at a time: a wider buffer pair, one waited blit of every old byte to its place (each K/V head moves from h * old * dim to h * new * dim), then the old pair leaves the residency set and is freed, so growing never holds more than one layer's old pair beside the new rows. It runs only where moveSlot and reset already touch a slot (after settleSlot, with no pending keep and no failure). The attention kernels already take each stream's head stride from its cache, so the plan now passes the slot's held rows instead of the context; arithmetic and key order depend only on positions. The startup fit and slot admission still charge the full context, so this lowers memory held, not the admission limit. Tests that fail before: the step parser, the growth rule (need rounded to the step, a quarter more, capped at the context), and the per-head moves into a wider buffer.
  2. Free slots give back grown K/V; drafter tap rings grow as used (kv_slots.zig, tap_ring.zig, dflash/runtime_model.zig, qwen27_slots.zig, qwen27_lanes.zig). When a stream leaves slot k, the slot goes back to its first rows (fresh small buffers, no copy) as soon as no blit reads it. The check is a non-blocking status read of the kept-state save, retried at each backend call, so no stream waits on it. Slot 0 keeps its rows while it stands for a next turn's resume; the next fresh pass there sizes them to its prompt (3). A parked stream's taps ring starts at the same first rows and grows by the same rule when taps are absorbed or a kept state is restored or moved into it (Ring.grow, Ring.hold); the old rows move to their places on the CPU after the slot's pending reads land. Drafter frames wait for their ring reads before closing, so a ring only changes between them. A context's reset gives its ring back. The growth helpers move to kv_slots.zig to keep decode_round.zig under 600 lines.
  3. A fresh pass takes its prompt's K/V rows at once (kv_slots.zig, kv_grow.zig, decode_round.zig, qwen27_slots.zig). A fresh prompt pass used to give its slot back to the first rows and then grow it step by step through the prompt: ten growths for a 65,536-token prompt, each a waited blit of every layer into new buffers. The slot is empty at that point (it was just reset), so it now takes the rows the prompt fills, rounded up to the step and at least one step, in new buffers with no copy, and keeps its buffers when it already holds exactly that many. Decode and restores still grow by the rule in (1). Test that fails before: the admission rows (the prompt rounded up to the step, at least one step, at most the context; one growth for 65,536 tokens where (1) takes ten).

Exactness

Target mlx-community/Qwen3.5-9B-MLX-4bit @938d891 and drafter ornith-ai/Ornith-1.5-9B-DFlash @21be344 at --drafter-bits 4, as in #1851. Before is #1851's tip as it stood, bb1028e7b; after is this branch on it, 3c28eb83c, run with TF_Q27_KV_GROW=4096 and unset. Greedy, thinking off, serve <target> --drafter <drafter> --parallel 4 --context 65536 --prompt-cache-gib 0. Each run sends, in order: the 12 drafted-versus-"draft": false prompts from #1851 (6,027- and 12,026-token prompts among them), bench_openai.py, bench_concurrent.py --levels 1,4 --alone --serial, a 30,000-token exact-id prompt (the cold-prefill array cut at 30,000, 32 tokens; it grows slot 0 six times, from 4,096 to 32,000 rows; with (3) it takes 32,768 rows at once), then bench_concurrent.py --levels 4 --alone again. Every finished reply's prompt length, token count and token hash is in the server log; the digest below is over all of them, sorted.

Chip Run Replies Digest Drafted == plain Alone and serial cells
M3 Ultra before (2nd run) 81 30ac466ff7d8 12/12 42 equal, 0 unequal
M3 Ultra after, grow 4096 (2 runs) 81 30ac466ff7d8 12/12 42 equal, 0 unequal
M3 Ultra after, unset 81 30ac466ff7d8 12/12 42 equal, 0 unequal
M5 Ultra before (2 runs) 81 d9608ce72d81 12/12 42 equal, 0 unequal
M5 Ultra after, grow 4096 (2 runs) 81 d9608ce72d81 12/12 42 equal, 0 unequal
M5 Ultra after, unset 81 d9608ce72d81 12/12 42 equal, 0 unequal
M3 Ultra this tip, grow 4096 81 30ac466ff7d8 12/12 42 equal, 0 unequal
M3 Ultra this tip, unset 81 30ac466ff7d8 12/12 42 equal, 0 unequal
M5 Ultra this tip, grow 4096 81 d9608ce72d81 12/12 42 equal, 0 unequal
M5 Ultra this tip, unset 81 d9608ce72d81 12/12 42 equal, 0 unequal

(The M3's first before run lost its 30,000-token request to a bad client field; its 80 other replies equal the second run's, hash for hash.) The "this tip" rows ran with (3) added (the M5's build predates only a shortened doc comment). The cold-prefill runs below also give equal replies before and after on each chip, at every size.

  • Drafted equals "draft": false, 12/12 in every run, with partial acceptance (1.9 to 11.6 tokens a round).
  • Concurrent equals solo: every alone and serial cell equal in every run.
  • Resumed equals fresh (TF_Q27_KV_GROW=4096, prompt cache on): Qwen3.5-9B DFlash drafter in Zig engine #1851's probe, the 6,027-token prompt twice; the second resumes at 6,020 cached tokens with the token hash Qwen3.5-9B DFlash drafter in Zig engine #1851 records, c40a2accd7f8, on both chips, at this tip and at the previous one (1ba21dc0e). At the previous tip the restore went into a slot given back to 4,096 rows, so it grew first (restoreSlot and moveSlot call reserve before the copy); at this tip the slot kept the 8,192 rows its first pass took. The replies with cached tokens in the table come from slot 0's own resume, and equal before's.
  • Cancellation and reset (TF_Q27_KV_GROW=4096, --prompt-cache-gib 0): Qwen3.5-9B DFlash drafter in Zig engine #1851's 14-step probe passes on both chips at both tips, with Qwen3.5-9B DFlash drafter in Zig engine #1851's reference hashes (a9af571d979c / a4dc1a079732 on the M3, a9af571d979c / 05cf379ac28e on the M5). Its drops all land before any slot outgrows 4,096 rows, so a second 14-step probe drops streams after growth: a 22k-token prompt dropped 8 s in and again at its third reply line, a 4,000-token prompt dropped 100 lines into a reply whose decode grows its slot past 4,096 rows, and the same beside a running probe (whose hash is checked too); after each, both probes equal their references. Pass on both chips at both tips. At this tip the dropped 22k-token prompt had sized its slot to 24,576 rows on both chips and each dropped reply had grown its slot to 8,192 rows (slot 1's K/V and taps ring too, on the M3). At the previous tip the M5's dropped prompt had grown its slot five times to 25,600 rows and slot 1's K/V and taps ring grew there, while the busier M3 dropped the prompt before it grew; the server logs show each growth and the resize or give-back after it.
  • Precision. No kernel, reduction order or accumulation changes. The kernels read the same K/V values at the same positions; only the buffer's head stride follows the slot's rows.

Memory

Physical footprint from /memory (physical_footprint_bytes, and lifetime_peak_physical_footprint_bytes for the peak), and the peak from /usr/bin/time -l, same runs as above.

Chip Point Before After, grow 4096 Change
M3 Ultra loaded 15.85 GB 13.84 to 14.19 GB -1.7 to -2.0 GB
M3 Ultra held after 4 streams of 256 tokens 25.58 GB 16.01 to 16.03 GB -9.6 GB
M3 Ultra after the 30,000-token prompt 25.58 GB 16.93 to 16.94 GB -8.6 GB
M3 Ultra peak 25.99 GB 17.08 to 17.09 GB -8.9 GB
M5 Ultra loaded 18.16 to 18.30 GB 16.15 to 16.28 GB -2.0 GB
M5 Ultra held after 4 streams of 256 tokens 27.66 to 27.67 GB 18.10 GB -9.6 GB
M5 Ultra after the 30,000-token prompt 27.67 GB 19.02 GB -8.6 GB
M5 Ultra peak 27.67 to 27.68 GB 19.16 GB -8.5 GB

With it unset the after binary's footprints equal before's (M3 25.99 GB peak, M5 27.70 GB). With (3) the 30,000-token prompt takes 32,768 rows at once instead of growing to 32,000, and the footprints stay as above: M5 loaded 16.27 GB, held after 4 streams 18.10 GB, after the 30,000-token prompt 19.04 GB, peak 19.07 GB; M3 13.83, 16.01, 16.96 and 16.97 GB (unset 25.80 GB peak). The cold-prefill serve (--parallel 1 --context 131072) peaks at 25.93 to 25.97 GB before, 24.55 GB after without (3) and 23.80 to 23.81 GB with it on the M5, and 23.96 to 23.97 GB before and 21.83 GB with (3) on the M3.

Performance

  • M3 Ultra: Mac Studio (Mac15,14), 80-core GPU, 256 GB, macOS 26.4.1 (25E253), Xcode 26.6, Python 3.14.
  • M5 Ultra: Mac Studio (Mac17,15), 64-core GPU, 96 GB, macOS 27.2 (26B123), Xcode 27.2, Python 3.15.

Zig 0.17.0, zig build native -Dcpu=apple_m1 -Dversion=1.0.0 on each Mac (tensorfold-native sha256 before 4de52daaca0b… M3, 4b736b20c17a… M5; after 3558a86efc0c… M3, 568826dc7c07… M5; this tip's runs 4a4c3185e962… M3, 2b5fe567ff4b… M5). One model process of mine at a time; both Macs were also serving other models, so single runs move by a few percent either way.

Decode, same runs as Exactness (bench_openai.py … --tokens 256 --reps 3 --temperatures 0, medians, tok/s; bench_concurrent.py aggregate tok/s at 1 and 4 streams):

M5 Ultra (runs in order; * marks a cell 10% or more below the same cell in every other run, where the Mac's other work took the GPU: grow 2's chat reps were 289.13 / 182.22 / 180.08)

Run bench_openai code chat concurrent code ×1 code ×4 chat ×1 chat ×4
before 1 543.45 287.60 542.6 946.7 287.6 645.2
after, grow 1 540.69 286.95 541.4 943.5 287.1 642.8
after, unset 544.80 289.06 543.0 672.6* 287.6 645.0
after, grow 2 545.05 182.22* 331.3* 945.5 291.0 643.4
before 2 542.34 256.09* 544.7 946.9 284.7 644.2

M3 Ultra (runs in order; the Mac was building and testing other work during all five, so these are noisy; * as above)

Run bench_openai code chat concurrent code ×1 code ×4 chat ×1 chat ×4
before 1 310.20 147.61 304.3 390.7 158.7 279.4
after, grow 1 307.88 161.36 313.2 413.9 161.4 281.8
after, unset 308.67 156.63 285.9 395.2 145.9 267.5
before 2 255.34* 158.83 310.0 368.2 159.1 270.2
after, grow 2 307.10 151.74 167.5* 209.6* 136.2* 158.3*

A later pair on the quieter M3:

Run bench_openai code chat concurrent code ×1 code ×4 chat ×1 chat ×4
after, grow 3 302.83 157.54 307.6 405.6 157.2 272.4
before 3 305.34 144.93 304.9 392.1 150.2 269.9

Decode is unchanged within the runs' spread on both chips. (3) doesn't touch decode; this tip's 4-stream runs came while both Macs were busier, both arms of the same binary alike (bench_openai code 470.52 with grow and 402.99 unset on the M5, 92.48 and 92.71 on the M3), so they aren't a decode comparison.

Cold prefill: exact token arrays from #1826 (upstream's public lighthouse paragraph, tokenized once by the checkpoint's tokenizer.json), POST /v1/completions with the ids, max_tokens 1, temperature 0, ignore_eos, server --drafter <drafter> --parallel 1 --context 131072 --prompt-cache-gib 0, one request at a time with a short unrelated request between measurements; every record has cached_tokens 0 and prompt_tokens equal to N. One 2,048-token warm-up, then 3 rounds, medians, tok/s (s). Runs alternate before and after. Without (3) a 65,536-token prompt grows slot 0 ten times, from 4,096 to 78,125 rows; with it the prompt takes 65,536 rows at once.

M5 Ultra (runs in order)

Run 2,048 8,192 32,768 65,536 Peak footprint
before 1 3,786.9 3,447.7 3,185.4 2,653.1 25.93 GB
after, grow 1 3,289.5 3,104.0 3,032.6 2,395.1 24.55 GB
after, grow 2 3,702.6 3,466.5 3,113.6 2,661.2 24.55 GB
before 2 3,770.6 3,563.5 3,213.3 2,794.7 25.94 GB
after, grow 3 4,712.3 4,577.4 4,081.4 3,572.7 24.55 GB
before 3 4,478.5 4,338.0 3,890.1 3,342.0 25.93 GB
before 4 4,224.6 3,935.1 3,628.1 3,148.5 25.93 GB
after, grow 4 3,536.1 3,460.7 3,149.8 2,696.2 24.55 GB

M3 Ultra (runs in order)

Run 2,048 8,192 32,768 65,536 Peak footprint
before 1 1,195.9 1,144.7 940.9 836.1 23.97 GB
after, grow 1 987.7 922.0 812.8 697.8 22.59 GB
after, grow 2 994.0 930.8 828.9 726.6 22.58 GB
before 2 1,086.5 1,015.8 905.8 790.5 23.96 GB

Replies are equal in every prefill run on each chip.

Without (3), cold prefill with TF_Q27_KV_GROW set was slower: in the tables above the M3's two grow runs are 9% to 17% below both before runs at every size, and the M5's four pairs move by -13%, -2%, +5% and -16%. Each measured prompt gave its slot back and grew it again step by step, ten waited growths of all 8 attention layers for 65,536 tokens, each into new buffers. With (3) a fresh prompt takes its rows once with no copy (one resize, then one back to 4,096 rows on the next fresh pass). The same cold-prefill runs at this tip, alternated with before:

M5 Ultra (runs in order; in each run the Mac's other work slowed rounds 2 and 3 alike, so medians sit below the tables above)

Run 2,048 8,192 32,768 65,536 Peak footprint
before 5 3,569.8 3,412.0 3,026.3 2,635.2 25.97 GB
this tip, grow 1 3,666.7 3,487.6 3,153.9 2,710.1 23.81 GB
this tip, grow 2 3,755.5 3,510.5 3,100.7 2,672.6 23.80 GB
before 6 3,633.6 3,472.6 3,082.9 2,674.3 25.93 GB

M3 Ultra (runs in order; other jobs held most of the M3's GPU throughout, their leased share moving from 95-120% during the grow runs to 70% during before 4, so every run is at a third to a half of the M3 tables above)

Run 2,048 8,192 32,768 65,536 Peak footprint
before 3 506.7 488.7 451.2 351.2 23.96 GB
this tip, grow 1 417.9 314.8 318.4 312.1 21.83 GB
this tip, grow 2 334.5 342.3 324.5 291.2 21.83 GB
before 4 589.6 579.3 535.0 488.5 23.97 GB

These M3 runs can't separate a few percent, so the M3 has no answer yet (see Not run). On the M5 both grow runs are level with or above both before runs at every size (-0.1% to +5.2%), so the cost is gone there. A shorter alternated check on the M5 (2 rounds of 2,048, 8,192 and 32,768 tokens; the previous tip unset and with grow, then this tip with grow; its first three servers, before the Mac's other work slowed every arm alike) showed the same: without (3) the 8,192-token prompt ran at 3,896 and 4,078 tok/s against 4,590 unset; with (3), 4,576 and 4,579. The option is off by default, so a serve that doesn't set it pays nothing.

Build and host tests

At this tip 8e2463c7b, on #1851's current tip 5c5667b95: on the M5, zig build native -Dcpu=apple_m1 -Dversion=1.0.0 exit 0; zig build test test-golden -Dcpu=apple_m1 --summary all exit 0, 594/594 steps, 9,227/9,285 tests passed and 58 skipped; goldens 55/55 and 322/335 equal with 0 unexpected differences; zig build dev-tools -Dcpu=apple_m1 exit 0; zig build test-qwen27-memory-host exit 0, 12/12 (its new admission test fails to build at 1ba21dc0e, which has no admission rule). On the M3: native and dev-tools exit 0; test + test-golden 592/594 steps, 9,228/9,285 passed, 55 skipped and 2 failed, goldens 55/55 and 322/335 with 0 unexpected; a rerun failed one. Each failure is in the server's benchmark-client tests (benchmark_stream_test, benchmark_cli_test, benchmark_run_test), a local fake server counting one request more than its test sent, a different test each run; this branch doesn't touch those files, they pass on the M5 at this tip and on the M3 at 1ba21dc0e, and the M3 was under other jobs' load at the time. Main shares them: main 3ce4a0480's own zig build test test-golden on the same M3 failed benchmark_run_test (9,361/9,417 passed), with no qwen27 change in it. python3 tools/zig/lean_check.py: 424 problems at 5c5667b95 and at each commit (0 added). The runs above at 3c28eb83c ran on #1851 as it stood at bb1028e7b; since then #1851 changed only its startup line (qwen27_served.zig, dflash/config.zig: the line names a v1 drafter "DFlash"), so they ran the same qwen27 code apart from that log text. At 1ba21dc0e (the first two commits on 5c5667b95), the M5 gave 594/594 steps, 9,227/9,285 passed and 58 skipped, goldens equal, native and dev-tools exit 0, and the M3 native, test + test-golden (594/594 steps, goldens equal; most tests cached from the same tree's full run) and dev-tools all exit 0. At the previous base (ce9c264ce, same qwen27 code but the startup line) the M3 gave the same: native, 594/594 steps, 9,228/9,283 passed, 55 skipped, goldens equal, dev-tools exit 0.

Before the rebase, on the M3 at 3c28eb83c: zig build native -Dcpu=apple_m1 -Dversion=1.0.0 exit 0; zig build test test-golden -Dcpu=apple_m1 --summary all exit 0, 587/587 steps, 9,077/9,129 tests passed and 52 skipped; goldens 55/55 and 322/335 equal with 0 unexpected differences. zig build dev-tools -Dcpu=apple_m1 exit 0. python3 tools/zig/lean_check.py: 424 problems at the base and at each commit (0 added). The M5 built the same tip (zig build native, exit 0). No kernel is added or changed, so there is no kernel contract SUMMARY line.

Not run

A DFlashDraftModel config now parses as variant v1: its taps (up to eight),
block, mask token and layer kinds come from the config, with no conv or
selector keys. Its graph is the plain qwen3 body (eleven tensors a layer,
fc, hidden_norm, norm), each layer adding attention and MLP to its residual
through a new add operator on the target's residual kernel. With no
codebooks (rank 0) the selector's edge term is zero, so trees come from
each depth's marginals.

The target's tap planes follow the drafter's tap count (eight here), and
the keep, gather and glue paths pass that count instead of five. DFlash2
parsing, its schedule and its tests are unchanged.
…nd fusion rows

runnerBytes kept five raw planes a prompt row. tapRowBytes now prices a
drafter's planes, and for a fusing (v1) drafter the row-major copy, fc's
rows and the fused row: 18 x hidden x 2 bytes for the 9B drafter's eight
taps. Fit carries it as tap_row; 0 keeps the five-plane figure, so DFlash2
and drafter-less serves plan exactly as before.
…the whole context

The target's taps pass now runs the drafter's fc and hidden_norm as a v1
drafter's taps complete (Taps.setFuser), so every gather reads one plane
of fused rows: a ring row and a prompt-cache state's drafter part are
8 KiB a token instead of 64 KiB. The drafter's context append starts from
those rows (k and v alone). DFlash2 keeps its raw planes.

The ring and the context now keep the served span (context plus the lane
window) instead of the 4096-token window. Sliding layers attend their own
window of it; the full-attention layer attends all of it, with its own
cache and attention sized to the span.
…tap slots

Commit "read and run the 9B's DFlash drafter beside DFlash2" made the tap
ids and a draft config's taps eight-slot arrays, and three tf-qwen27 tools
still set five: zig build dev-tools failed on dflash_graph.zig,
dflash_runtime.zig and forward_diff.zig. They now name the same five taps
with three empty slots (the plane count stays five).
The serving line already named a v1 drafter "DFlash", but the startup log
line still said "DFlash2 drafts for one of them" for either. Config.kind()
gives the name, DFlash for z-lab's v1 layout and DFlash2 for DFlash2, and
both lines take it from there. Test: a v1 config is named DFlash and the
stock DFlash2 config DFlash2.
Every slot took K/V rows for the whole --context on its first use, so
four live 9B streams at --context 32768 held 4 GiB of K/V while each
stream used a few thousand tokens. With TF_Q27_KV_GROW=<rows> a slot
starts at that many rows and, when a round, a restored state or a moved
slot needs more, grows to the need rounded up to the step or a quarter
more than it holds, at most the context.

Growth goes one attention layer at a time: a wider buffer pair, one
waited blit of every old byte to its place (each K/V head from
h*old*dim to h*new*dim), the old pair out of the residency set and
freed, so growing holds at most one layer's old pair beside the new
rows. It runs where moveSlot and reset already touch a slot
(settleSlot, no pending keep, no failure).

The attention kernels already take each stream's head stride from its
cache, so the plan now passes the slot's held rows; arithmetic and key
order depend only on positions. Unset, every slot holds the context as
before, and the startup fit and slot admission still charge the full
context.
With TF_Q27_KV_GROW a slot kept its high-water rows after its stream
ended, and every parked stream's drafter taps ring was sized to the
whole span, so one long request left its rows behind in every slot it
touched.

Give-back: when a stream leaves slot k, the slot goes back to its first
rows (fresh small buffers, no copy) as soon as no blit reads it. The
check is a non-blocking status read of the kept-state save, retried at
each backend call, so no stream waits on it. Slot 0 keeps its rows
while it stands for a next turn's resume; the next fresh pass there
gives them back, as does any fresh pass in any slot.

Rings: a parked stream's taps ring starts at the same first rows and
grows by the K/V rule when taps are absorbed or a kept state is
restored or moved into it (Ring.grow, Ring.hold); the old rows move to
their places on the CPU after the slot's pending reads land. Drafter
frames wait for their ring reads before closing, so a ring only changes
between them. A context's reset gives its ring back. The growth helpers
move to kv_slots.zig to keep decode_round.zig under 600 lines.
…ROW)

With K/V grown as used, a fresh prompt pass gave its slot back to the first rows and then grew it
step by step through the prompt: ten growths for a 65,536-token prompt, each a waited blit of every
layer into new buffers. The slot is empty at that point, so it now takes the rows the prompt fills
(rounded up to the step) in new buffers with no copy, and keeps them when it already holds exactly
that many. Decode and restores still grow by the same rule.
@ashhart

ashhart commented Nov 2, 2026

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Thanks @grantoverton. Unset is main exactly, and set, the per-head growth is right. One change, and it matters: a growth that fails partway leaves a slot's attention layers at different row counts. reserve swaps one layer at a time, while the kernels take one head stride per slot from the plan (meta[7] = heldRows*dim), and nothing checks that the layers agree. Slot 0, standing for a resume, is never refit, and a later reserve skips layers already at its rows. So the larger layers get read at the wrong offsets: wrong tokens, with no error. Please:

  1. refuse a slot whose layers' capacities differ, in attentionPlan or Binding.check;
  2. make a failed reserve or refit leave the slot unusable for resume until it's refit (or grow every layer to the largest held count);
  3. add a host test that fails an allocation partway.

Small: a growth briefly holds one layer's old pair beside its new rows, about 1/L above the full-context charge. Note it, or charge it in the fit.

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