From 95f4a78f84e94c0e2598d3464b142538da89433e Mon Sep 17 00:00:00 2001 From: Alex Derzhi <5882439+alexderz@users.noreply.github.com> Date: Thu, 22 Oct 2026 20:36:21 -0500 Subject: [PATCH 1/4] Site data: expert-cache finding uses the live streamed figure (13 -> 19 tok/s); tqLLM finding describes the prefill failure --- site/data/bakeoff.json | 16 +- site/data/curated.json | 6 +- site/data/deep.json | 508 +++++++++++++++++++++++++++++++++++++++++ site/data/history.json | 10 +- 4 files changed, 524 insertions(+), 16 deletions(-) create mode 100644 site/data/deep.json diff --git a/site/data/bakeoff.json b/site/data/bakeoff.json index 5d8092f..17c675b 100644 --- a/site/data/bakeoff.json +++ b/site/data/bakeoff.json @@ -1,7 +1,7 @@ { "schema": "bakeoff-site/1", "generated": "2026-10-15 14:36 CDT", - "built": "2026-10-22 19:48 CDT", + "built": "2026-10-22 20:36 CDT", "title": "The Bake-off", "tagline": "Which open-weight models can do real agent work on one consumer GPU, how fast, and with what settings.", "links": { @@ -103,15 +103,15 @@ "findings": [ { "date": "2026-10-22", - "title": "An expert cache doubles Flash-Next on one 3090", + "title": "An expert cache makes Flash-Next 1.5x faster on one 3090", "kind": "tuning", "summary": "Qwen3.8 Flash-Next (125B, 6B active) does not fit in 24 GB, so llama.cpp keeps experts in system RAM. Keeping all of them there (-cmoe) and giving the GPU a cache of hot experts (--moe-cache-mib), with q8 KV to make room, beat the old split of 40 layers on CPU on every GGUF tried, at 262k context.", "settings": "-cmoe --moe-cache-mib 12800 -ctk q8_0 -ctv q8_0 -b 2048 -ub 1024 -t 16", "metrics": [ { - "label": "Decode, orca IQ4_XS", + "label": "Decode, orca IQ4_XS (streamed, live config)", "before": 13, - "after": 24, + "after": 19, "unit": "tok/s" }, { @@ -146,7 +146,7 @@ } ], "quality": "Against the old f16 KV config: mean KL 0.0011 and 98 % top-1 agreement over 100k tokens of real code; two loads of the same config differ by KL 0.0002. Needles found at 100k, 190k and 250k.", - "caveat": "Lazy tensor reads (llama.cpp's default) make the first pass over unseen text slow when the page cache is cold; -lzm off fixes it but costs about 28 GB of extra RAM. The 13 to 24 tok/s for orca is the best arm of the sweep. With the shipped config the streamed figure is about 19 tok/s (25 to 37 raw). The tqLLM control run measured the same GGUF at about 40 tok/s on short outputs; that measure is higher than the streamed one." + "caveat": "Lazy tensor reads (llama.cpp's default) make the first pass over unseen text slow when the page cache is cold; -lzm off fixes it but costs about 28 GB of extra RAM. Raw decode with short outputs is higher (25-37 tok/s on orca). The tqLLM control run measured the same GGUF at about 40 tok/s on short outputs; that measure is higher than the streamed one." }, { "date": "2026-10-22", @@ -216,7 +216,7 @@ "date": "2026-10-22", "title": "tqLLM serves Flash-Next fast but not for agents", "kind": "engine", - "summary": "tqLLM 1.2.3 loaded the Flash-Next IQ3_S GGUF and decoded faster than llama.cpp on short benchmarks, but long prompts and several sessions failed.", + "summary": "tqLLM 1.2.3 decodes Flash-Next about 2.5x faster than llama.cpp on the same GGUF, but one prefill out-of-memory leaves every later request failing until a restart.", "settings": null, "metrics": [ { @@ -244,8 +244,8 @@ "unit": "of 11" } ], - "quality": "Tool calls and a 30k needle passed at 32k; the 262k arm answered long prompts with HTTP 500.", - "caveat": "Short outputs with thinking off flatter the speed; the best 262k arm streamed 54 tok/s and passed 4 of 11 sessions. First load took 23 minutes cold." + "quality": "Tool calls and a 30k needle passed at 32k; at 262k with 8k prefill chunks it found a needle in 248k tokens, then failed on a 292-token prompt.", + "caveat": "Short replies with thinking off; any prompt of 256+ tokens can trigger the failure. First load took 23 minutes cold." }, { "date": "2026-10-21", diff --git a/site/data/curated.json b/site/data/curated.json index 7a384fa..dd1fb0a 100644 --- a/site/data/curated.json +++ b/site/data/curated.json @@ -62,15 +62,15 @@ "findings": [ { "date": "2026-10-22", - "title": "An expert cache doubles Flash-Next on one 3090", + "title": "An expert cache makes Flash-Next 1.5x faster on one 3090", "kind": "tuning", "summary": "Qwen3.8 Flash-Next (125B, 6B active) does not fit in 24 GB, so llama.cpp keeps experts in system RAM. Keeping all of them there (-cmoe) and giving the GPU a cache of hot experts (--moe-cache-mib), with q8 KV to make room, beat the old split of 40 layers on CPU on every GGUF tried, at 262k context.", "settings": "-cmoe --moe-cache-mib 12800 -ctk q8_0 -ctv q8_0 -b 2048 -ub 1024 -t 16", "metrics": [ { - "label": "Decode, orca IQ4_XS", + "label": "Decode, orca IQ4_XS (streamed, live config)", "before": 13, - "after": 24, + "after": 19, "unit": "tok/s" }, { diff --git a/site/data/deep.json b/site/data/deep.json new file mode 100644 index 0000000..4e30f5d --- /dev/null +++ b/site/data/deep.json @@ -0,0 +1,508 @@ +{ + "schema": "deep/1", + "engines": [ + { + "id": "llama-cpp", + "name": "llama.cpp", + "kind": "GGUF server; dense models and MoE with experts in RAM", + "versions": [ + {"version": "0.4.1-dev (commit 4260903)", "date": "2026-09-23 to 2026-10-18", "note": "Bundled build used by the native entries; Flash-Next with experts in RAM: 2.2 tok/s on the probe."}, + {"version": "0.6.0 (official image, build 11429)", "date": "2026-10-05", "note": "2.5-4x faster than 0.4 on Flash-Next with experts in RAM; MTP and n-gram drafting fixes."}, + {"version": "0.7.0", "date": "2026-10-15", "note": "Adds a GPU cache for experts kept in RAM (--moe-cache-mib); in the router since 2026-10-18."}, + {"version": "Newer official builds", "date": "2026-10-21", "note": "Flint needs b11803 or later; Carbon-X needs b11742 or later; trials ran by hand, not in the router."} + ], + "good_at": "Any GGUF, including MoE models with experts in system RAM", + "watch_out": "Check the build supports the model's architecture before reading any result", + "multi_session": {"ok": true, "note": "11 of 11 probe checks on Flash-Next entries"}, + "speeds": [ + {"model": "Tiel Coder 35B IQ4_XS", "config": "0.7.0, all on GPU", "decode": 151, "prefill": null, "unit": "tok/s", "context": "262k", "date": "2026-10-18"}, + {"model": "Flint 40B-A2.5B Q3_K_XL", "config": "newer build, all on GPU, q8 KV, short prompt", "decode": 129, "prefill": null, "unit": "tok/s", "context": "262k", "date": "2026-10-22"}, + {"model": "Flint 40B-A2.5B Q3_K_XL", "config": "newer build, all on GPU, q8 KV, 11.7k depth, -ub 2048", "decode": 106, "prefill": 5357, "unit": "tok/s", "context": "262k", "date": "2026-10-22"}, + {"model": "Flint Q4_K_XL", "config": "10 expert layers in RAM", "decode": 95, "prefill": null, "unit": "tok/s", "context": "150k", "date": "2026-10-22"}, + {"model": "Flint Q4_K_XL", "config": "15 expert layers in RAM; prefill of an 11.7k prompt", "decode": 81.4, "prefill": 2208, "unit": "tok/s", "context": null, "date": "2026-10-22"}, + {"model": "Flint Q4_K_XL", "config": "19 expert layers in RAM", "decode": 73.1, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-22"}, + {"model": "Flint Q4_K_XL", "config": "24 expert layers in RAM; prefill of an 11.7k prompt", "decode": 64.2, "prefill": 1624, "unit": "tok/s", "context": "262k", "date": "2026-10-22"}, + {"model": "Ornith-1.5-122B UD-Q4_K_XL", "config": "40 expert layers on CPU", "decode": 16.3, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-20"}, + {"model": "Carbon-X 14.8B Q8_0", "config": "all on GPU", "decode": 52, "prefill": null, "unit": "tok/s", "context": "40k", "date": "2026-10-22"}, + {"model": "Qwen3.8-27B", "config": "MTP drafting, all on GPU, code", "decode": 93, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-13"}, + {"model": "Qwen3.8-27B", "config": "DFlash2 drafter (GGUF), code; 47 % of drafts accepted", "decode": 95, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-13"}, + {"model": "Qwen3.8-27B", "config": "DFlash2 drafter (GGUF), prose", "decode": 43, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-13"}, + {"model": "Qwen3.8-27B", "config": "DFlash2 drafter (GGUF), structured output", "decode": 108, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-13"}, + {"model": "Flash-Next Orcarouter IQ4_XS", "config": "0.7.0, -cmoe, cache 12800 MiB, q8 KV, streamed (about)", "decode": 19, "prefill": null, "unit": "tok/s", "context": "262k", "date": "2026-10-22"}, + {"model": "Flash-Next Heretic2 IQ4XS-NGQ4", "config": "0.7.0, -cmoe, cache 12800 MiB, q8 KV, streamed (about)", "decode": 18, "prefill": null, "unit": "tok/s", "context": "262k", "date": "2026-10-22"}, + {"model": "Flash-Next Abliterated s1.5 IQ4_XS", "config": "0.7.0, -cmoe, cache 13824 MiB, q8 KV, streamed", "decode": "19-21", "prefill": null, "unit": "tok/s", "context": "262k", "date": "2026-10-22"}, + {"model": "Flash-Next Swift 1.5 IQ3_XXS (pruned)", "config": "0.7.0, -cmoe, cache 9216 MiB, q8 KV, streamed", "decode": "23-26", "prefill": null, "unit": "tok/s", "context": "262k", "date": "2026-10-22"}, + {"model": "Flash-Next unpruned IQ3_S", "config": "0.7.0, -cmoe, cache 9216 MiB, q8 KV, streamed", "decode": "21-23", "prefill": null, "unit": "tok/s", "context": "262k", "date": "2026-10-22"}, + {"model": "Flash-Next GGUFs (fresh loads)", "config": "0.7.0 expert cache; prefill about 250 before", "decode": null, "prefill": 415, "unit": "tok/s", "context": "16k and 48k", "date": "2026-10-22"}, + {"model": "Flash-Next unpruned IQ3_S", "config": "0.7.0, raw short outputs, thinking off, code; prose 41.3, structured 41.0", "decode": 40.3, "prefill": null, "unit": "tok/s", "context": "32k", "date": "2026-10-22"}, + {"model": "Qwen3.8-Flash-Next", "config": "0.4.1-dev, experts in RAM, short probe", "decode": 2.2, "prefill": 136, "unit": "tok/s", "context": "49k", "date": "2026-10-05"}, + {"model": "Qwen3.8-Flash-Next", "config": "0.6, experts in RAM, short probe", "decode": 8.9, "prefill": 569, "unit": "tok/s", "context": "49k", "date": "2026-10-05"}, + {"model": "Orcarouter Flash-Next Uncensored", "config": "0.4.1-dev, experts in RAM, short probe", "decode": 5.3, "prefill": 295, "unit": "tok/s", "context": "49k", "date": "2026-10-05"}, + {"model": "Orcarouter Flash-Next Uncensored", "config": "0.6, experts in RAM, short probe", "decode": 13.1, "prefill": 486, "unit": "tok/s", "context": "49k", "date": "2026-10-05"}, + {"model": "Qwen3.8-27B Cyber", "config": "0.6, all on GPU, no drafting", "decode": 45.1, "prefill": null, "unit": "tok/s", "context": "49k", "date": "2026-10-05"}, + {"model": "Qwen3.8-27B Cyber", "config": "0.6, all on GPU, with MTP", "decode": 82.2, "prefill": null, "unit": "tok/s", "context": "49k", "date": "2026-10-05"}, + {"model": "OrcaSAQ-2-Cyber-27B", "config": "0.6, all on GPU, no drafting", "decode": 83.2, "prefill": null, "unit": "tok/s", "context": "49k", "date": "2026-10-05"}, + {"model": "OrcaSAQ-2-Cyber-27B", "config": "0.6, n-gram drafts, copy-heavy output", "decode": 412, "prefill": null, "unit": "tok/s", "context": "49k", "date": "2026-10-05"}, + {"model": "Cyber-Tiel-Coder-35B", "config": "0.6, 20 expert layers in RAM", "decode": 50.5, "prefill": null, "unit": "tok/s", "context": "49k", "date": "2026-10-05"} + ], + "bugs": [ + {"text": "0.4.1-dev ran Flash-Next with experts in RAM 2.5-4x slower than 0.6", "status": "fixed", "date": "2026-10-05"}, + {"text": "0.6: automatic -fit aborts when -ngl is set by hand", "status": "worked around", "date": null}, + {"text": "0.6: offloaded models stall on the first request without -lm none", "status": "worked around", "date": "2026-09-30"}, + {"text": "0.7.0: OrcaSAQ-2 with DFlash2 drafts failed every request on 580 MiB buffer", "status": "worked around", "date": "2026-10-18"}, + {"text": "Qwen3.8-27B Cyber on 0.7.0: empty 32,000-token replies once, unrepeated", "status": "open", "date": null}, + {"text": "Lazy tensor reads slow the first pass over unseen text when cache is cold", "status": "open", "date": null}, + {"text": "Newer-architecture GGUFs load on older builds, then fail or tokenize wrongly", "status": "worked around", "date": "2026-10-21"} + ], + "doc": "docs/model-research/engines.md#llamacpp" + }, + { + "id": "vllm", + "name": "vLLM (HyperQwen)", + "kind": "dense model server with prefix caching", + "versions": [ + {"version": "HyperQwen 0.30", "date": null, "note": "In use; 2-4x faster than llama.cpp over whole agent runs on Qwen3.8-27B."}, + {"version": "0.31", "date": "2026-10-14", "note": "Same speed rounds, slightly slower deep (79.5 against 84.5 tok/s at 141k); not adopted."}, + {"version": "0.32", "date": null, "note": "Image built and staged; not in use."} + ], + "good_at": "Dense models on the GPU; long agent runs with prefix caching", + "watch_out": "Needs per-request thinking budget; images only with VISION=1", + "multi_session": {"ok": true, "note": "Main agent plus sub-agents ran cleanly, tests 3 and 8"}, + "speeds": [ + {"model": "Qwen3.8-27B", "config": "MTP drafts, FP8 KV, average over a run (about)", "decode": 70, "prefill": null, "unit": "tok/s", "context": "150k", "date": null}, + {"model": "Qwen3.8-27B", "config": "MTP drafts, FP8 KV, short code", "decode": 127, "prefill": null, "unit": "tok/s", "context": "150k", "date": null}, + {"model": "Qwen3.8-27B", "config": "MTP drafts, FP8 KV, 141k of history", "decode": 85, "prefill": null, "unit": "tok/s", "context": "141k history", "date": null}, + {"model": "Qwen3.8-27B", "config": "DFlash2 drafts, 4/2-bit KV, about half the speed under load", "decode": null, "prefill": null, "unit": "tok/s", "context": "240k", "date": null}, + {"model": "Qwen3.8-27B", "config": "DFlash2 drafts (about)", "decode": 97, "prefill": null, "unit": "tok/s", "context": "64k", "date": "2026-10-06"}, + {"model": "Qwen3.8-27B", "config": "DFlash2 15-token drafts (about)", "decode": 95, "prefill": null, "unit": "tok/s", "context": "57k", "date": "2026-10-06"} + ], + "bugs": [ + {"text": "With thinking on, Qwen3.8-27B finished no one-shot pagoda in seven tries", "status": "open", "date": "2026-10-14"}, + {"text": "Gemma 4 26B's server passed the grader; a real client could not connect", "status": "open", "date": "2026-10-10"}, + {"text": "DFlash2 15-token drafts at 57k: one test compacted 55 times", "status": "worked around", "date": "2026-10-06"}, + {"text": "DFlash2 at 64k: agent compacts constantly; one test overflowed the context", "status": "worked around", "date": "2026-10-06"} + ], + "doc": "docs/model-research/engines.md#vllm" + }, + { + "id": "sglang", + "name": "SGLang (EXL3)", + "kind": "MoE server with GPU expert cache, EXL3 weights", + "versions": [ + {"version": "Original fork build", "date": "2026-10-01 to 2026-10-04", "note": "200k, fp8 KV; built the best test-2 server of all runs: 12 tools, 155 tests, 124 minutes."}, + {"version": "Newer fork build (phase D)", "date": "2026-10-11", "note": "11 of 11 multi-session checks; test 2 cut off and never graded; dropped 2026-10-21."}, + {"version": "Three stock builds", "date": "2026-10-21", "note": "204,800 context, two slots, EXL3 3.05 bpw, 21-21.4 GB, load 252-262 s."} + ], + "good_at": "Most capable Flash-Next setup tested: images, 200k window", + "watch_out": "Slower than the 27B stacks; no agent test rerun on stock builds", + "multi_session": {"ok": true, "note": "Stock builds: 11 of 11 checks, two slots"}, + "speeds": [ + {"model": "Qwen3.8-Flash-Next (EXL3 3.05 bpw)", "config": "original fork build, fp8 KV, average over the test-2 run", "decode": 36, "prefill": null, "unit": "tok/s", "context": "200k", "date": "2026-10-04"}, + {"model": "Qwen3.8-Flash-Next (EXL3 3.05 bpw)", "config": "original fork build, test 1", "decode": 44.3, "prefill": null, "unit": "tok/s", "context": "200k", "date": "2026-10-04"}, + {"model": "Qwen3.8-Flash-Next (EXL3 3.05 bpw)", "config": "newer fork build, test 1, earlier settings", "decode": 25.3, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-11"}, + {"model": "Qwen3.8-Flash-Next (EXL3 3.05 bpw)", "config": "stock build 1, two slots, prefill at 190k", "decode": 24.1, "prefill": 2600, "unit": "tok/s", "context": "204,800", "date": "2026-10-21"}, + {"model": "Qwen3.8-Flash-Next (EXL3 3.05 bpw)", "config": "stock build 2, two slots, prefill at 190k", "decode": 24.6, "prefill": 2600, "unit": "tok/s", "context": "204,800", "date": "2026-10-21"}, + {"model": "Qwen3.8-Flash-Next (EXL3 3.05 bpw)", "config": "stock build 3, two slots, prefill at 190k", "decode": 25.1, "prefill": 2600, "unit": "tok/s", "context": "204,800", "date": "2026-10-21"} + ], + "bugs": [ + {"text": "Original build served one session at a time and crashed under several", "status": "fixed", "date": "2026-10-03"}, + {"text": "A test-3 run on the original build needed Strata instead", "status": "worked around", "date": null} + ], + "doc": "docs/model-research/engines.md#sglang" + }, + { + "id": "strata", + "name": "Strata", + "kind": "MoE server with hot-expert VRAM cache and built-in MTP", + "versions": [ + {"version": "0.1.39 / 0.1.40.3", "date": "2026-10-04 to 2026-10-09", "note": "30-45 tok/s decode, 21-30 over a whole run; test 2 full passes with Flash-Next and Swift 1.5."}, + {"version": "0.1.42", "date": "2026-10-10 to 2026-10-12", "note": "Release defaults slower; the old PCIe share doubled long-answer decode."}, + {"version": "0.1.44.1", "date": "2026-10-15", "note": "Load 60 s against 214 s; decode 44.9 against 18.3 (23.5 warm) on 0.1.42."}, + {"version": "0.1.45", "date": "2026-10-20", "note": "IQ3_S with MTP, code prompt: 29.4 tok/s."}, + {"version": "0.2.0-beta", "date": "2026-10-20", "note": "Gyro-S with MTP: test 2 full pass in 24 minutes, 89.8 tok/s over the run; agent pagoda 9 of 10."}, + {"version": "0.2.2", "date": "2026-10-22", "note": "Gyro-S: code 121.6 to 144.1 tok/s on the same-day control, load 23 s; no agent run yet."} + ], + "good_at": "Fastest Flash-Next decode measured; made 1-bit-class Gyro-S usable", + "watch_out": "0.2 is beta; warm up before timing; set reasoning budget", + "multi_session": {"ok": true, "note": "Works with parallel 2 and --batch-mtp; Gyro build unprobed"}, + "speeds": [ + {"model": "Qwen3.8-Flash-Next (GSQ-RCO quants)", "config": "0.1.39 / 0.1.40.3, decode; 21-30 over a whole run", "decode": "30-45", "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-09"}, + {"model": "Qwen3.8-Flash-Next", "config": "0.1.42 release-default PCIe share, long answers", "decode": 48, "prefill": 1177, "unit": "tok/s", "context": null, "date": "2026-10-11"}, + {"model": "Qwen3.8-Flash-Next", "config": "0.1.42 old PCIe share, long answers", "decode": 95, "prefill": 1983, "unit": "tok/s", "context": null, "date": "2026-10-11"}, + {"model": "Qwen3.8-Flash-Next", "config": "0.1.42, first round, cold", "decode": 18.3, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-15"}, + {"model": "Qwen3.8-Flash-Next", "config": "0.1.42, warm round", "decode": 23.5, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-15"}, + {"model": "Qwen3.8-Flash-Next", "config": "0.1.44.1", "decode": 44.9, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-15"}, + {"model": "Flash-Next IQ3_S", "config": "0.1.45, MTP, code prompt", "decode": 29.4, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-20"}, + {"model": "Flash-Next IQ3_S", "config": "0.2.0-beta, MTP, code prompt", "decode": 35.4, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-20"}, + {"model": "Flash-Next Gyro-S (TQ1_0)", "config": "0.2.0-beta, MTP draft, code, text only", "decode": 118.6, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-20"}, + {"model": "Flash-Next Gyro-S (TQ1_0)", "config": "0.2.0-beta, MTP, average over test-2 run", "decode": 89.8, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-20"}, + {"model": "Flash-Next Gyro-S (TQ1_0)", "config": "0.2.2, MTP, code", "decode": 144.1, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-22"}, + {"model": "Flash-Next Gyro-S (TQ1_0)", "config": "0.2.2, MTP, prose", "decode": 123.4, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-22"}, + {"model": "Flash-Next Gyro-S (TQ1_0)", "config": "0.2.2, MTP, JSON", "decode": 157.7, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-22"} + ], + "bugs": [ + {"text": "0.1.42 release-default PCIe share halved decode", "status": "worked around", "date": "2026-10-11"}, + {"text": "0.1.42 test 2T first start failed: engine exits locking about 40 GB host RAM", "status": "open", "date": null}, + {"text": "Gyro no-MTP arms fail to start; native pack requires speculative decoding", "status": "open", "date": null}, + {"text": "1.6-bit coder looped until reasoning_budget_tokens was set", "status": "worked around", "date": null}, + {"text": "DNS-rebinding guard returns 403 to any host name not in allowed_hosts", "status": "worked around", "date": null} + ], + "doc": "docs/model-research/engines.md#strata" + }, + { + "id": "maya", + "name": "Maya", + "kind": "tiered-expert MoE server (VRAM, RAM, SSD)", + "versions": [ + {"version": "1.0.4 with three patches", "date": "2026-10-08", "note": "About 4 tok/s out of the box; 17-19 with patches. Test 1 pass (44 tests), test 2 pass (7 tools, 66 tests, 322 minutes)."}, + {"version": "1.1.11", "date": "2026-10-16", "note": "Patches upstream; 17.0 against 14.6 tok/s, first token 18 s against 92 s, 12 of 12 digit strings."}, + {"version": "1.1.13", "date": "2026-10-17", "note": "Maya-S and Maya-M IQ2_S: 12 of 12 digits, 2 of 2 needles; test 3 rubric 12 of 12 on both."} + ], + "good_at": "Runs a 321B MoE on one card and passed both tests", + "watch_out": "Slowest model to pass both tests; first load reads 100 GB", + "multi_session": {"ok": null, "note": "Not measured; treated as one request at a time"}, + "speeds": [ + {"model": "GLM-5.3-Flash Maya-S IQ2_XXS", "config": "1.0.4 out of the box", "decode": 4, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-08"}, + {"model": "GLM-5.3-Flash Maya-S IQ2_XXS", "config": "1.0.4 with three patches", "decode": "17-19", "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-08"}, + {"model": "GLM-5.3-Flash Maya-S IQ2_XXS", "config": "1.1.11, two rounds", "decode": 17.0, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-16"}, + {"model": "GLM-5.3-Flash Maya-S / Maya-M", "config": "1.1.13, test 3 runs, both flavors", "decode": "5.4-7.1", "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-17"}, + {"model": "GLM-5.3-Flash Maya-M IQ2_S", "config": "no draft head, default PCIe share 0.36", "decode": 16.0, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-17"}, + {"model": "GLM-5.3-Flash Maya-M IQ2_S", "config": "PCIe share 0.25 (candidate, not applied)", "decode": 17.9, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-17"}, + {"model": "GLM-5.3-Flash Maya-M IQ2_S", "config": "no DFlash2 draft head", "decode": 15.35, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-17"}, + {"model": "GLM-5.3-Flash Maya-M IQ2_S", "config": "with DFlash2 draft head, 91 % of drafts accepted", "decode": 10.7, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-17"} + ], + "bugs": [ + {"text": "1.0.4 decoded about 4 tok/s; every VRAM eviction re-read from the network", "status": "fixed", "date": "2026-10-08"}, + {"text": "On 1.0.x, GLM split multi-digit tool-argument numbers with spaces", "status": "fixed", "date": "2026-10-16"}, + {"text": "DFlash2 draft on Maya-M slowed decode to 10.7 from 15.35 tok/s", "status": "worked around", "date": "2026-10-17"}, + {"text": "1-bit Huihui variant failed both tests with repetition", "status": "open", "date": null} + ], + "doc": "docs/model-research/engines.md#maya" + }, + { + "id": "exllamav3", + "name": "ExLlamaV3 (TabbyAPI)", + "kind": "dense model server, EXL3 weights", + "versions": [ + {"version": "1.6.1", "date": "2026-10-13", "note": "Runs Qwen3.8-27B from EXL3 4.00 bpw, unpatched, with its MTP head or the DFlash2 drafter."}, + {"version": "1.6.2", "date": "2026-10-16", "note": "140.1 against 138.6 tok/s on 1.6.1 with DFlash2, within noise."}, + {"version": "1.6.3", "date": null, "note": "Image built and staged; not in use."} + ], + "good_at": "Larger window than vLLM for the 27B; DFlash2 without a patch", + "watch_out": "Slower than vLLM with MTP; drafting alters temperature-0 replies", + "multi_session": {"ok": null, "note": "Not measured"}, + "speeds": [ + {"model": "Qwen3.8-27B (EXL3 4.00 bpw)", "config": "DFlash2 drafter, code; 98k window fits with 8-bit cache", "decode": 158, "prefill": null, "unit": "tok/s", "context": "16k", "date": "2026-10-13"}, + {"model": "Qwen3.8-27B (EXL3 4.00 bpw)", "config": "DFlash2 drafter, prose", "decode": 73, "prefill": null, "unit": "tok/s", "context": "16k", "date": "2026-10-13"}, + {"model": "Qwen3.8-27B (EXL3 4.00 bpw)", "config": "DFlash2 drafter, structured output", "decode": 181, "prefill": null, "unit": "tok/s", "context": "16k", "date": "2026-10-13"}, + {"model": "Qwen3.8-27B (EXL3 4.00 bpw)", "config": "own MTP head, code; 196k window fits with 8-bit cache", "decode": 116, "prefill": null, "unit": "tok/s", "context": "16k", "date": "2026-10-13"}, + {"model": "Qwen3.8-27B (EXL3 4.00 bpw)", "config": "own MTP head, prose", "decode": 70, "prefill": null, "unit": "tok/s", "context": "16k", "date": "2026-10-13"}, + {"model": "Qwen3.8-27B (EXL3 4.00 bpw)", "config": "own MTP head, structured output", "decode": 128, "prefill": null, "unit": "tok/s", "context": "16k", "date": "2026-10-13"}, + {"model": "Qwen3.8-27B (EXL3 4.00 bpw)", "config": "no drafting, one round", "decode": 42, "prefill": null, "unit": "tok/s", "context": "16k", "date": "2026-10-13"}, + {"model": "Qwen3.8-27B (EXL3 4.00 bpw)", "config": "1.6.2, DFlash2, thinking off", "decode": 140.1, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-16"}, + {"model": "Qwen3.8-27B (EXL3 4.00 bpw)", "config": "MTP served at 196k, short code; prompts read at 650-740", "decode": 115, "prefill": "650-740", "unit": "tok/s", "context": "196k", "date": null}, + {"model": "Qwen3.8-27B (EXL3 4.00 bpw)", "config": "MTP served at 196k, 141k of context", "decode": 72, "prefill": null, "unit": "tok/s", "context": "141k history", "date": null} + ], + "bugs": [ + {"text": "At temperature 0, drafting changed 7 of 15 DFlash2 replies", "status": "open", "date": "2026-10-13"}, + {"text": "At temperature 0, drafting changed 10 of 15 MTP replies", "status": "open", "date": "2026-10-13"}, + {"text": "MTP setup scored 0 in five of six one-shot pagoda tries", "status": "open", "date": "2026-10-14"} + ], + "doc": "docs/model-research/engines.md#exllamav3-tabbyapi" + }, + { + "id": "tensorfold", + "name": "TensorFold", + "kind": "dense model server with DFlash2 drafting", + "versions": [ + {"version": "0.6.6 (Python engine)", "date": "2026-10-13", "note": "Fastest writer measured for Qwen3.8-27B on the 3090; Python line frozen upstream."}, + {"version": "1.1.0 (upstream)", "date": "2026-10-18", "note": "Reports native RTX 30 support; we have not built or run it."} + ], + "good_at": "Raw decode speed; exact replies at temperature 0", + "watch_out": "Needs a local patch below compute capability 8.9; bf16 cache only", + "multi_session": {"ok": null, "note": "Not measured"}, + "speeds": [ + {"model": "Qwen3.8-27B", "config": "DFlash2 drafter, short code (167-170 across runs)", "decode": 170, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-13"}, + {"model": "Qwen3.8-27B", "config": "DFlash2 drafter, prose (81-84 across runs)", "decode": 84, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-13"}, + {"model": "Qwen3.8-27B", "config": "DFlash2 drafter, structured output (209-211 across runs)", "decode": 211, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-13"} + ], + "bugs": [ + {"text": "Needed a local patch to run below compute capability 8.9", "status": "worked around", "date": null}, + {"text": "Cache is bf16 only: 42k window by default, 73k at the edge", "status": "open", "date": null}, + {"text": "Python line is frozen upstream; engine parked, not in the router", "status": "open", "date": null} + ], + "doc": "docs/model-research/engines.md#tensorfold" + }, + { + "id": "tqllm", + "name": "tqLLM", + "kind": "Flash-Next GGUF server (trial)", + "versions": [ + {"version": "1.2.3", "date": "2026-10-22", "note": "Trial with the Flash-Next IQ3_S GGUF and its MTP head against the live llama.cpp entry; first load 23 minutes cold, then 2-3."} + ], + "good_at": "Fast short replies: about 2.5 times llama.cpp on the same GGUF", + "watch_out": "Fails after one out-of-memory prefill; health check still says ok", + "multi_session": {"ok": false, "note": "Failed: 3, 0, 4 of 11 at 32k, 128k, 262k"}, + "speeds": [ + {"model": "Flash-Next IQ3_S + MTP head", "config": "short outputs, thinking off, code; prefill about 2,000 on a 30k prompt", "decode": 101.7, "prefill": 2000, "unit": "tok/s", "context": "32k", "date": "2026-10-22"}, + {"model": "Flash-Next IQ3_S + MTP head", "config": "short outputs, thinking off, prose", "decode": 79.9, "prefill": null, "unit": "tok/s", "context": "32k", "date": "2026-10-22"}, + {"model": "Flash-Next IQ3_S + MTP head", "config": "short outputs, thinking off, structured output", "decode": 111.8, "prefill": null, "unit": "tok/s", "context": "32k", "date": "2026-10-22"}, + {"model": "Flash-Next IQ3_S + MTP head", "config": "best 262k arm, streamed", "decode": 54, "prefill": null, "unit": "tok/s", "context": "262k", "date": "2026-10-22"} + ], + "bugs": [ + {"text": "First prompt short on VRAM for prefill fails; every later request fails", "status": "open", "date": "2026-10-22"}, + {"text": "At 131072 the first failure came on a 289-token prompt", "status": "open", "date": "2026-10-22"}, + {"text": "Health check keeps answering ok after failure, so a router never notices", "status": "open", "date": "2026-10-22"}, + {"text": "Default 262k arm answered long prompts with HTTP 500", "status": "open", "date": "2026-10-22"}, + {"text": "Expert-cache flag had no visible effect on Flash-Next", "status": "open", "date": "2026-10-22"} + ], + "doc": "docs/model-research/engines.md#tqllm" + } + ], + "tuning": [ + { + "id": "vram-tiers", + "title": "Pick the VRAM tier first", + "rule": "Choose how much of the model sits in VRAM first, then the model.", + "metrics": [ + {"label": "Everything on the GPU, typical decode", "before": null, "after": "45-175", "unit": "tok/s"}, + {"label": "A few expert layers in RAM, typical decode", "before": null, "after": "60-95", "unit": "tok/s"}, + {"label": "Experts mostly in RAM, typical decode", "before": null, "after": "3-26", "unit": "tok/s"}, + {"label": "Flint Q4_K_XL decode, 15 to 24 expert layers in RAM", "before": 81.4, "after": 64.2, "unit": "tok/s"}, + {"label": "Flint Q4_K_XL prefill of 11.7k prompt, 15 to 24 layers", "before": 2208, "after": 1624, "unit": "tok/s"}, + {"label": "Ornith-1.5-122B decode, 42 to 40 expert layers on CPU", "before": 13.7, "after": 16.3, "unit": "tok/s"} + ], + "chart": "tiers", + "evidence": "Flint Q4_K_XL, 2026-10-21/22: 81.4, 73.1, 64.2 tok/s at 15, 19, 24 expert layers in RAM.", + "caveat": "The expert cache moved the bottom tier up, not out.", + "doc": "docs/model-research/tuning.md#1-vram-tiers-pick-the-tier-first" + }, + { + "id": "expert-cache", + "title": "Cache hot experts instead of splitting layers", + "rule": "Keep all experts in RAM and cache the hot ones on the GPU (llama.cpp 0.7.0).", + "metrics": [ + {"label": "Orcarouter IQ4_XS streamed decode", "before": "12-14", "after": 19, "unit": "tok/s"}, + {"label": "Heretic2 IQ4XS-NGQ4 streamed decode", "before": "11-14", "after": 18, "unit": "tok/s"}, + {"label": "Abliterated s1.5 IQ4_XS streamed decode", "before": "11.5-14.6", "after": "19-21", "unit": "tok/s"}, + {"label": "Swift 1.5 IQ3_XXS streamed decode", "before": "13-17", "after": "23-26", "unit": "tok/s"}, + {"label": "Unpruned IQ3_S streamed decode", "before": "12.5-15", "after": "21-23", "unit": "tok/s"}, + {"label": "Prefill on fresh loads, 16k and 48k", "before": 250, "after": "415-427", "unit": "tok/s"} + ], + "chart": "bars", + "evidence": "2026-10-22, Flash-Next, five GGUFs at 262k: cache beat layer split on all; live on 12 entries.", + "caveat": "Not yet run through tests 1 and 2.", + "doc": "docs/model-research/tuning.md#2-expert-placement--ncmoe-against--cmoe-plus-the-expert-cache" + }, + { + "id": "kv-precision", + "title": "Use 8-bit KV when it buys room", + "rule": "Use 8-bit KV when it buys context, expert cache or batch; else f16.", + "metrics": [ + {"label": "Mean KL, f16 KV against 8-bit KV plus cache", "before": null, "after": 0.0011, "unit": "KL"}, + {"label": "Mean KL between two loads of the new config (noise floor)", "before": null, "after": 0.0002, "unit": "KL"}, + {"label": "Top-1 agreement, old against new config", "before": null, "after": 98.2, "unit": "%"}, + {"label": "Top-1 agreement between two loads (noise floor)", "before": null, "after": 99.6, "unit": "%"}, + {"label": "Needles found in both configs", "before": null, "after": 8, "unit": "of 8"}, + {"label": "vLLM window, FP8 KV against 4/2-bit KV", "before": 150, "after": 240, "unit": "k tokens"} + ], + "chart": "bars", + "evidence": "2026-10-22, Orcarouter GGUF: f16 KV against 8-bit KV plus cache gives mean KL 0.0011, top-1 98.2 %.", + "caveat": "KV type and cache could not be separated on 24 GB.", + "doc": "docs/model-research/tuning.md#3-kv-precision" + }, + { + "id": "batch-ubatch", + "title": "Raise ubatch until it stops loading", + "rule": "Take the largest -ub that still loads with everything else in place.", + "metrics": [ + {"label": "Ornith prefill, 41 expert layers on CPU, -ub 2048", "before": 118, "after": 392, "unit": "tok/s"}, + {"label": "Ornith decode, same change", "before": 16.1, "after": 16.1, "unit": "tok/s"}, + {"label": "Flint prefill of 11.7k prompt at -ub 2048", "before": null, "after": 5357, "unit": "tok/s"} + ], + "chart": "slope", + "evidence": "Ornith, 41 expert layers on CPU, 2026-10-20: -ub 2048 lifted prefill from 118 to 392 tok/s.", + "caveat": "Too large fails: OrcaSAQ-2 needed -ub 256 at 22.7 of 24 GiB.", + "doc": "docs/model-research/tuning.md#4-batch-and-ubatch" + }, + { + "id": "context-margin", + "title": "Tell the agent a smaller context", + "rule": "Give the agent a context window smaller than the server's by max(10%, 16k).", + "metrics": [ + {"label": "Compaction point on a 150k vLLM server", "before": 71000, "after": 89328, "unit": "tokens"}, + {"label": "Share of window at compaction", "before": 47, "after": 60, "unit": "%"}, + {"label": "Compactions in one 57k vLLM test", "before": null, "after": 55, "unit": "times"}, + {"label": "Compactions with the Pi agent on the 57k setup", "before": null, "after": 8, "unit": "times"} + ], + "chart": "slope", + "evidence": "2026-10-04: a 240k vLLM case died at 213,761 prompt plus 32,000 reply against a 245,760 window.", + "caveat": "Runs before 2026-10-14, all of test 2, used the old window.", + "doc": "docs/model-research/tuning.md#5-context-margin-and-thinking-budget" + }, + { + "id": "thinking-budget", + "title": "Cap thinking inside the reply cap", + "rule": "Set the thinking budget to min(24000, reply cap minus 6000).", + "metrics": [ + {"label": "Round 1 endpoints rescued, reasoning off", "before": null, "after": 6, "unit": "of 9"}, + {"label": "Round 1 endpoints rescued, budget 4096", "before": null, "after": 8, "unit": "of 9"}, + {"label": "Round 1 endpoints rescued, budget 16384", "before": null, "after": 4, "unit": "of 9"}, + {"label": "Length of the one runaway think (OrcaSAQ-2)", "before": null, "after": 87000, "unit": "characters"} + ], + "chart": "bars", + "evidence": "2026-10-04: a cap of 23,961 under a flat 24,000 budget let one 87,000-character think eat the reply.", + "caveat": "A budget stops runaway thinking, not output loops.", + "doc": "docs/model-research/tuning.md#5-context-margin-and-thinking-budget" + }, + { + "id": "maker-sampling", + "title": "Serve the maker's sampling", + "rule": "Serve the maker's recommended sampling on the server; coding agents usually send none.", + "metrics": [ + {"label": "Ternary Bonsai 2 test 1 score, with the makers' agent settings", "before": 2, "after": 5, "unit": "of 5"}, + {"label": "Tiel Coder Q4_K_XL test 2 decode, makers' temperature 0.6", "before": null, "after": 78.6, "unit": "tok/s"}, + {"label": "Tiel Coder Q4_K_XL test 2 duration", "before": null, "after": 27, "unit": "minutes"} + ], + "chart": "slope", + "evidence": "Adopted for every entry 2026-10-09 after loops ruined several runs; Bonsai 2 test 1 rose 2/5 to 5/5.", + "caveat": "Not a cure-all: Devstral Small 2, Qwen3.6-35B, GLM-4.7-Flash still failed.", + "doc": "docs/model-research/tuning.md#6-maker-sampling" + }, + { + "id": "speculative-decoding", + "title": "Draft only when the model fits", + "rule": "Use speculative decoding when the model is on the GPU; check answers stay unchanged.", + "metrics": [ + {"label": "Qwen3.8-27B code, plain against llama.cpp MTP", "before": 42, "after": 93, "unit": "tok/s"}, + {"label": "Qwen3.8-27B code, plain against ExLlamaV3 MTP", "before": 42, "after": 116, "unit": "tok/s"}, + {"label": "Qwen3.8-27B code, plain against ExLlamaV3 DFlash2", "before": 42, "after": 158, "unit": "tok/s"}, + {"label": "Qwen3.8-27B code, plain against TensorFold DFlash2", "before": 42, "after": 170, "unit": "tok/s"}, + {"label": "Gemma 4 26B-A4B with MTP drafter, short code against 141k of history", "before": 267, "after": 123, "unit": "tok/s"}, + {"label": "Ornith-1.5-122B experts in RAM, no draft against MTP with two drafts", "before": 16.3, "after": 16.7, "unit": "tok/s"}, + {"label": "Ornith-1.5-122B, no draft against a DFlash drafter", "before": 16.3, "after": 11.5, "unit": "tok/s"}, + {"label": "Maya-M IQ2_S, no draft against DFlash2 draft", "before": 15.35, "after": 10.7, "unit": "tok/s"} + ], + "chart": "bars", + "evidence": "2026-10-13, Qwen3.8-27B code, one card: 42 tok/s plain, 170 with TensorFold DFlash2; Ornith in RAM gained nothing.", + "caveat": "At temperature 0 drafting changed 7 of 15 DFlash2 replies; TensorFold none.", + "doc": "docs/model-research/tuning.md#7-speculative-decoding-when-it-pays" + }, + { + "id": "warm-cache", + "title": "Warm up and measure twice", + "rule": "Warm up before timing; run each setting twice in opposite orders; never rank on one run.", + "metrics": [ + {"label": "Strata 0.1.42 prompt reading, cold against warm", "before": 44, "after": 1269, "unit": "tok/s"}, + {"label": "Strata 0.1.42 decode, cold against warm round", "before": 18.3, "after": 23.5, "unit": "tok/s"}, + {"label": "Unpruned Flash-Next GGUF, raw benchmark against streamed", "before": 40, "after": "21-23", "unit": "tok/s"}, + {"label": "tqLLM short replies against best long arm", "before": "100-110", "after": 54, "unit": "tok/s"} + ], + "chart": "slope", + "evidence": "Strata 0.1.42, 2026-10-11: the same prompt read at 44 tok/s cold and 1,269 warm.", + "caveat": "Differences smaller than the second-round speedup were treated as noise.", + "doc": "docs/model-research/tuning.md#8-cold-against-warm-page-cache-and-measuring-twice" + }, + { + "id": "pcie-share", + "title": "Measure the PCIe share setting", + "rule": "Measure an engine's GPU-CPU transfer share on your own card; release defaults can be wrong.", + "metrics": [ + {"label": "Strata 0.1.42 long-answer decode, default against old share", "before": 48, "after": 95, "unit": "tok/s"}, + {"label": "Strata 0.1.42 big-prompt reading", "before": 1177, "after": 1983, "unit": "tok/s"}, + {"label": "Test 1 duration", "before": 94, "after": 51, "unit": "minutes"}, + {"label": "Test 2 duration", "before": 98, "after": 61, "unit": "minutes"}, + {"label": "Test 2 tests passed", "before": 72, "after": 77, "unit": "tests"}, + {"label": "Maya-M decode, share 0.36 against 0.25 (not applied)", "before": 16.0, "after": 17.9, "unit": "tok/s"} + ], + "chart": "slope", + "evidence": "Strata 0.1.42 on Flash-Next, 2026-10-11: older PCIe share doubled long-answer decode, 48 to 95 tok/s.", + "caveat": "Maya-M's +12 % candidate was measured 2026-10-17 and not applied.", + "doc": "docs/model-research/tuning.md#9-pcie-share-and-other-engine-internal-knobs" + }, + { + "id": "engine-choice", + "title": "Choose the engine for the model", + "rule": "Choose the engine for the model class, then tune; short-request speed is not agent readiness.", + "metrics": [ + {"label": "Flash-Next, experts in RAM: llama.cpp 0.4 (2026-10-05)", "before": null, "after": 2.2, "unit": "tok/s"}, + {"label": "Flash-Next, experts in RAM: llama.cpp 0.6 (2026-10-05)", "before": null, "after": 8.9, "unit": "tok/s"}, + {"label": "Flash-Next: Strata (2026-10-04)", "before": null, "after": "30-45", "unit": "tok/s"}, + {"label": "Flash-Next: llama.cpp 0.7.0 with cache, streamed (2026-10-22)", "before": null, "after": "19-26", "unit": "tok/s"}, + {"label": "Flash-Next Gyro-S on Strata 0.2.2, code (2026-10-22)", "before": null, "after": 144, "unit": "tok/s"}, + {"label": "Multi-session checks passed: tqLLM against stock SGLang", "before": 3, "after": 11, "unit": "of 11"} + ], + "chart": "timeline", + "evidence": "Flash-Next with experts in RAM: 2.2 tok/s on llama.cpp 0.4 to 144 on Strata 0.2.2 (2026-10-22).", + "caveat": "Quants differ across rows; Strata's 144 is Gyro-S on code.", + "doc": "docs/model-research/tuning.md#10-engine-choice" + }, + { + "id": "quality-checks", + "title": "Check a setup before trusting speed", + "rule": "Run quality and multi-session checks on every new engine or settings change before ranking speed.", + "metrics": [ + {"label": "tqLLM code decode against llama.cpp on the same GGUF", "before": 40.3, "after": 101.7, "unit": "tok/s"}, + {"label": "Multi-session checks passed, tqLLM against llama.cpp live", "before": 3, "after": 11, "unit": "of 11"}, + {"label": "Multi-session checks passed, Carbon-X at one slot", "before": null, "after": 10, "unit": "of 11"}, + {"label": "Old runs regraded, 2026-10-10", "before": null, "after": 125, "unit": "runs"}, + {"label": "Verdicts changed by the regrade", "before": null, "after": 4, "unit": "verdicts"} + ], + "chart": "bars", + "evidence": "2026-10-22: tqLLM decoded about 2.5 times faster than llama.cpp yet passed 3 of 11 multi-session checks.", + "caveat": "A speed result without the probe next to it is a lead, not a pick.", + "doc": "docs/model-research/tuning.md#11-the-quality-checks-we-use" + } + ], + "quality_checks": [ + { + "id": "kl-top1", + "name": "KL and top-1 agreement", + "what": "Greedy logprobs old against new config, same GGUF, cuts of 2k-100k tokens", + "threshold": "Compare with the noise floor: KL 0.0002, top-1 99.6 %", + "example": "Expert cache, 2026-10-22: KL 0.0011, top-1 98.2 %" + }, + { + "id": "needle", + "name": "Needle in a haystack", + "what": "Planted code in filler text, 16k to 250k tokens, room left for thinking", + "threshold": null, + "example": "Stock SGLang found needles at 100k, 150k and 190k" + }, + { + "id": "digit-copy", + "name": "Digit-copy probe", + "what": "Copies digit strings in long prompts and finds two needles", + "threshold": "12 of 12 strings and both needles", + "example": "Maya 1.0.4 split one string; 1.1.11 copied 12 of 12" + }, + { + "id": "tool-call", + "name": "Tool-call probe", + "what": "One function call with arguments, parsed", + "threshold": null, + "example": "Passed on every engine until tqLLM's first failure" + }, + { + "id": "multi-session", + "name": "Multi-session probe", + "what": "11 checks: parallel answers, two decoding together, tool calls, long plus short, five concurrent", + "threshold": "11 of 11 (10 of 11 at one slot, by design)", + "example": "llama.cpp live 11 of 11; tqLLM 3, 0 and 4 of 11" + }, + { + "id": "agent-tests", + "name": "Real agent tests", + "what": "Tests 1 to 8; the only check that sees what an agent does", + "threshold": null, + "example": "Gyro-S + MTP test 2: full pass in 24 minutes" + }, + { + "id": "grader-audits", + "name": "Grader audits", + "what": "Regrade old runs when a grader changes", + "threshold": null, + "example": "125 runs regraded 2026-10-10; four verdicts changed" + } + ] +} diff --git a/site/data/history.json b/site/data/history.json index f49e295..9ec6e1d 100644 --- a/site/data/history.json +++ b/site/data/history.json @@ -801,7 +801,7 @@ "date": "2026-10-22", "title": "tqLLM serves Flash-Next fast but not for agents", "kind": "engine", - "summary": "tqLLM 1.2.3 loaded the Flash-Next IQ3_S GGUF and decoded faster than llama.cpp on short benchmarks, but long prompts and several sessions failed.", + "summary": "tqLLM 1.2.3 decodes Flash-Next about 2.5x faster than llama.cpp on the same GGUF, but one prefill out-of-memory leaves every later request failing until a restart.", "settings": null, "metrics": [ { @@ -829,8 +829,8 @@ "unit": "of 11" } ], - "quality": "Tool calls and a 30k needle passed at 32k; the 262k arm answered long prompts with HTTP 500.", - "caveat": "Short outputs with thinking off flatter the speed; the best 262k arm streamed 54 tok/s and passed 4 of 11 sessions. First load took 23 minutes cold." + "quality": "Tool calls and a 30k needle passed at 32k; at 262k with 8k prefill chunks it found a needle in 248k tokens, then failed on a 292-token prompt.", + "caveat": "Short replies with thinking off; any prompt of 256+ tokens can trigger the failure. First load took 23 minutes cold." }, { "date": "2026-10-21", @@ -1258,8 +1258,8 @@ "amend": [ { "date": "2026-10-22", - "title": "An expert cache doubles Flash-Next on one 3090", - "note": "The 13 to 24 tok/s for orca is the best arm of the sweep. With the shipped config the streamed figure is about 19 tok/s (25 to 37 raw).", + "title": "An expert cache makes Flash-Next 1.5x faster on one 3090", + "note": "Raw decode with short outputs is higher (25-37 tok/s on orca).", "extra_metrics": [ { "label": "Decode, heretic2 (streamed)", From f53145e2cfc32f0bd0ca2d13d26cb7e878304fc9 Mon Sep 17 00:00:00 2001 From: Alex Derzhi <5882439+alexderz@users.noreply.github.com> Date: Thu, 22 Oct 2026 20:40:39 -0500 Subject: [PATCH 2/4] Site data: engines, tuning and quality checks from the docs (site/data/deep.json); tuning.md tqLLM session count --- docs/model-research/tuning.md | 2 +- site/data/bakeoff.json | 1727 ++++++++++++++++++++++++++++++++- site/data/deep.json | 51 +- site/tools/build_data.py | 8 + 4 files changed, 1762 insertions(+), 26 deletions(-) diff --git a/docs/model-research/tuning.md b/docs/model-research/tuning.md index f4b37e0..c1f41f9 100644 --- a/docs/model-research/tuning.md +++ b/docs/model-research/tuning.md @@ -245,7 +245,7 @@ engine for the model class, then tune. runs; ExLlamaV3 and TensorFold are faster on short code and hold a smaller window (section 7). - Speed on one short request is not agent readiness. tqLLM decoded about 2.5x - faster than llama.cpp on the same GGUF and failed 8 of 11 multi-session checks + faster than llama.cpp on the same GGUF and passed at most 4 of 11 multi-session checks (section 11); stock SGLang at 25 tok/s passed 11 of 11. - The engine table is in [Engines](engines.md). diff --git a/site/data/bakeoff.json b/site/data/bakeoff.json index 17c675b..6689dc8 100644 --- a/site/data/bakeoff.json +++ b/site/data/bakeoff.json @@ -1,7 +1,7 @@ { "schema": "bakeoff-site/1", "generated": "2026-10-15 14:36 CDT", - "built": "2026-10-22 20:36 CDT", + "built": "2026-10-22 20:40 CDT", "title": "The Bake-off", "tagline": "Which open-weight models can do real agent work on one consumer GPU, how fast, and with what settings.", "links": { @@ -8457,6 +8457,1731 @@ "error": "" } ], + "engines": [ + { + "id": "llama-cpp", + "name": "llama.cpp", + "kind": "GGUF server; dense models and MoE with experts in RAM", + "versions": [ + { + "version": "0.4.1-dev (commit 4260903)", + "date": "2026-09-23 to 2026-10-18", + "note": "Bundled build used by the native entries; Flash-Next with experts in RAM: 2.2 tok/s on the probe; long agent runs on it ran out of time." + }, + { + "version": "0.6.0 (official image, build 11429)", + "date": "2026-10-05", + "note": "2.5-4x faster than 0.4 on Flash-Next with experts in RAM; MTP and n-gram drafting fixes." + }, + { + "version": "0.7.0", + "date": "2026-10-15", + "note": "Adds a GPU cache for experts kept in RAM (--moe-cache-mib); in the router since 2026-10-18." + }, + { + "version": "Newer official builds", + "date": "2026-10-21", + "note": "Flint needs b11803 or later; Carbon-X needs b11742 or later; trials ran by hand, not in the router." + } + ], + "good_at": "Any GGUF, including MoE models with experts in system RAM", + "watch_out": "Check the build supports the model's architecture before reading any result", + "multi_session": { + "ok": true, + "note": "11 of 11 probe checks on Flash-Next entries" + }, + "speeds": [ + { + "model": "Tiel Coder 35B IQ4_XS", + "config": "0.7.0, all on GPU", + "decode": 151, + "prefill": null, + "unit": "tok/s", + "context": "262k", + "date": "2026-10-18" + }, + { + "model": "Flint 40B-A2.5B Q3_K_XL", + "config": "newer build, all on GPU, q8 KV, short prompt", + "decode": 129, + "prefill": null, + "unit": "tok/s", + "context": "262k", + "date": "2026-10-22" + }, + { + "model": "Flint 40B-A2.5B Q3_K_XL", + "config": "newer build, all on GPU, q8 KV, 11.7k depth, -ub 2048", + "decode": 106, + "prefill": 5357, + "unit": "tok/s", + "context": "262k", + "date": "2026-10-22" + }, + { + "model": "Flint Q4_K_XL", + "config": "10 expert layers in RAM", + "decode": 95, + "prefill": null, + "unit": "tok/s", + "context": "150k", + "date": "2026-10-22" + }, + { + "model": "Flint Q4_K_XL", + "config": "15 expert layers in RAM; prefill of an 11.7k prompt", + "decode": 81.4, + "prefill": 2208, + "unit": "tok/s", + "context": null, + "date": "2026-10-22" + }, + { + "model": "Flint Q4_K_XL", + "config": "19 expert layers in RAM", + "decode": 73.1, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-22" + }, + { + "model": "Flint Q4_K_XL", + "config": "24 expert layers in RAM; prefill of an 11.7k prompt", + "decode": 64.2, + "prefill": 1624, + "unit": "tok/s", + "context": "262k", + "date": "2026-10-22" + }, + { + "model": "Ornith-1.5-122B UD-Q4_K_XL", + "config": "40 expert layers on CPU", + "decode": 16.3, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-20" + }, + { + "model": "Carbon-X 14.8B Q8_0", + "config": "all on GPU", + "decode": 52, + "prefill": null, + "unit": "tok/s", + "context": "40k", + "date": "2026-10-22" + }, + { + "model": "Qwen3.8-27B", + "config": "MTP drafting, all on GPU, code", + "decode": 93, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-13" + }, + { + "model": "Qwen3.8-27B", + "config": "DFlash2 drafter (GGUF), code; 47 % of drafts accepted", + "decode": 95, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-13" + }, + { + "model": "Qwen3.8-27B", + "config": "DFlash2 drafter (GGUF), prose", + "decode": 43, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-13" + }, + { + "model": "Qwen3.8-27B", + "config": "DFlash2 drafter (GGUF), structured output", + "decode": 108, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-13" + }, + { + "model": "Flash-Next Orcarouter IQ4_XS", + "config": "0.7.0, -cmoe, cache 12800 MiB, q8 KV, streamed (about)", + "decode": 19, + "prefill": null, + "unit": "tok/s", + "context": "262k", + "date": "2026-10-22" + }, + { + "model": "Flash-Next Heretic2 IQ4XS-NGQ4", + "config": "0.7.0, -cmoe, cache 12800 MiB, q8 KV, streamed (about)", + "decode": 18, + "prefill": null, + "unit": "tok/s", + "context": "262k", + "date": "2026-10-22" + }, + { + "model": "Flash-Next Abliterated s1.5 IQ4_XS", + "config": "0.7.0, -cmoe, cache 13824 MiB, q8 KV, streamed", + "decode": "19-21", + "prefill": null, + "unit": "tok/s", + "context": "262k", + "date": "2026-10-22" + }, + { + "model": "Flash-Next Swift 1.5 IQ3_XXS (pruned)", + "config": "0.7.0, -cmoe, cache 9216 MiB, q8 KV, streamed", + "decode": "23-26", + "prefill": null, + "unit": "tok/s", + "context": "262k", + "date": "2026-10-22" + }, + { + "model": "Flash-Next unpruned IQ3_S", + "config": "0.7.0, -cmoe, cache 9216 MiB, q8 KV, streamed", + "decode": "21-23", + "prefill": null, + "unit": "tok/s", + "context": "262k", + "date": "2026-10-22" + }, + { + "model": "Flash-Next GGUFs (fresh loads)", + "config": "0.7.0 expert cache; prefill about 250 before", + "decode": null, + "prefill": 415, + "unit": "tok/s", + "context": "16k and 48k", + "date": "2026-10-22" + }, + { + "model": "Flash-Next unpruned IQ3_S", + "config": "0.7.0, raw short outputs, thinking off, code; prose 41.3, structured 41.0", + "decode": 40.3, + "prefill": null, + "unit": "tok/s", + "context": "32k", + "date": "2026-10-22" + }, + { + "model": "Qwen3.8-Flash-Next", + "config": "0.4.1-dev, experts in RAM, short probe", + "decode": 2.2, + "prefill": 136, + "unit": "tok/s", + "context": "49k", + "date": "2026-10-05" + }, + { + "model": "Qwen3.8-Flash-Next", + "config": "0.6, experts in RAM, short probe", + "decode": 8.9, + "prefill": 569, + "unit": "tok/s", + "context": "49k", + "date": "2026-10-05" + }, + { + "model": "Orcarouter Flash-Next Uncensored", + "config": "0.4.1-dev, experts in RAM, short probe", + "decode": 5.3, + "prefill": 295, + "unit": "tok/s", + "context": "49k", + "date": "2026-10-05" + }, + { + "model": "Orcarouter Flash-Next Uncensored", + "config": "0.6, experts in RAM, short probe", + "decode": 13.1, + "prefill": 486, + "unit": "tok/s", + "context": "49k", + "date": "2026-10-05" + }, + { + "model": "Qwen3.8-27B Cyber", + "config": "0.6, all on GPU, no drafting", + "decode": 45.1, + "prefill": null, + "unit": "tok/s", + "context": "49k", + "date": "2026-10-05" + }, + { + "model": "Qwen3.8-27B Cyber", + "config": "0.6, all on GPU, with MTP", + "decode": 82.2, + "prefill": null, + "unit": "tok/s", + "context": "49k", + "date": "2026-10-05" + }, + { + "model": "OrcaSAQ-2-Cyber-27B", + "config": "0.6, all on GPU, no drafting", + "decode": 83.2, + "prefill": null, + "unit": "tok/s", + "context": "49k", + "date": "2026-10-05" + }, + { + "model": "OrcaSAQ-2-Cyber-27B", + "config": "0.6, n-gram drafts, copy-heavy output", + "decode": 412, + "prefill": null, + "unit": "tok/s", + "context": "49k", + "date": "2026-10-05" + }, + { + "model": "Cyber-Tiel-Coder-35B", + "config": "0.6, 20 expert layers in RAM, short probe", + "decode": 50.5, + "prefill": null, + "unit": "tok/s", + "context": "49k", + "date": "2026-10-05" + } + ], + "bugs": [ + { + "text": "0.4.1-dev ran Flash-Next with experts in RAM 2.5-4x slower than 0.6", + "status": "fixed", + "date": "2026-10-05" + }, + { + "text": "0.6: automatic -fit aborts when -ngl is set by hand", + "status": "worked around", + "date": null + }, + { + "text": "0.6: offloaded models stall on the first request without -lm none", + "status": "worked around", + "date": "2026-09-30" + }, + { + "text": "0.7.0: OrcaSAQ-2 with DFlash2 drafts failed every request on 580 MiB buffer", + "status": "worked around", + "date": "2026-10-18" + }, + { + "text": "Qwen3.8-27B Cyber on 0.7.0: empty 32,000-token replies once, unrepeated", + "status": "open", + "date": null + }, + { + "text": "Lazy tensor reads slow the first pass over unseen text when cache is cold", + "status": "open", + "date": null + }, + { + "text": "Newer-architecture GGUFs load on older builds, then fail or tokenize wrongly", + "status": "worked around", + "date": "2026-10-21" + } + ], + "doc": "https://github.com/alexderz/agentic-model-testing/blob/main/docs/model-research/engines.md#llamacpp" + }, + { + "id": "vllm", + "name": "vLLM (HyperQwen)", + "kind": "dense model server with prefix caching", + "versions": [ + { + "version": "HyperQwen 0.30", + "date": null, + "note": "In use; 2-4x faster than llama.cpp over whole agent runs on Qwen3.8-27B." + }, + { + "version": "0.31", + "date": "2026-10-14", + "note": "Same speed rounds, slightly slower deep (79.5 against 84.5 tok/s at 141k); not adopted." + }, + { + "version": "0.32", + "date": null, + "note": "Image built and staged; not in use." + } + ], + "good_at": "Dense models on the GPU; long agent runs with prefix caching", + "watch_out": "Needs per-request thinking budget; images only with VISION=1", + "multi_session": { + "ok": true, + "note": "Main agent plus sub-agents ran cleanly, tests 3 and 8" + }, + "speeds": [ + { + "model": "Qwen3.8-27B", + "config": "MTP drafts, FP8 KV, average over a run (about)", + "decode": 70, + "prefill": null, + "unit": "tok/s", + "context": "150k", + "date": null + }, + { + "model": "Qwen3.8-27B", + "config": "MTP drafts, FP8 KV, short code", + "decode": 127, + "prefill": null, + "unit": "tok/s", + "context": "150k", + "date": null + }, + { + "model": "Qwen3.8-27B", + "config": "MTP drafts, FP8 KV, 141k of history", + "decode": 85, + "prefill": null, + "unit": "tok/s", + "context": "141k history", + "date": null + }, + { + "model": "Qwen3.8-27B", + "config": "DFlash2 drafts, 4/2-bit KV, about half the speed under load", + "decode": null, + "prefill": null, + "unit": "tok/s", + "context": "240k", + "date": null + }, + { + "model": "Qwen3.8-27B", + "config": "DFlash2 drafts (about)", + "decode": 97, + "prefill": null, + "unit": "tok/s", + "context": "64k", + "date": "2026-10-06" + }, + { + "model": "Qwen3.8-27B", + "config": "DFlash2 15-token drafts (about)", + "decode": 95, + "prefill": null, + "unit": "tok/s", + "context": "57k", + "date": "2026-10-06" + } + ], + "bugs": [ + { + "text": "With thinking on, Qwen3.8-27B finished no one-shot pagoda in seven tries", + "status": "open", + "date": "2026-10-14" + }, + { + "text": "Gemma 4 26B's server passed the grader; a real client could not connect", + "status": "open", + "date": "2026-10-10" + }, + { + "text": "DFlash2 15-token drafts at 57k: one test compacted 55 times", + "status": "worked around", + "date": "2026-10-06" + }, + { + "text": "DFlash2 at 64k: agent compacts constantly; one test overflowed the context", + "status": "worked around", + "date": "2026-10-06" + } + ], + "doc": "https://github.com/alexderz/agentic-model-testing/blob/main/docs/model-research/engines.md#vllm" + }, + { + "id": "sglang", + "name": "SGLang (EXL3)", + "kind": "MoE server with GPU expert cache, EXL3 weights", + "versions": [ + { + "version": "Original fork build", + "date": "2026-10-01 to 2026-10-04", + "note": "200k, fp8 KV; built the best test-2 server of all runs: 12 tools, 155 tests, 124 minutes." + }, + { + "version": "Newer fork build (phase D)", + "date": "2026-10-11", + "note": "11 of 11 multi-session checks; test 2 cut off and never graded; dropped 2026-10-21." + }, + { + "version": "Three stock builds", + "date": "2026-10-21", + "note": "204,800 context, two slots, EXL3 3.05 bpw, 20.8-21.4 GB, load 252-262 s; needles at 100k, 150k, 190k passed on two of three builds (8-bit KV build not run)." + } + ], + "good_at": "Most capable Flash-Next setup tested: images, 200k window", + "watch_out": "Slower than the 27B stacks; no agent test rerun on stock builds", + "multi_session": { + "ok": true, + "note": "Stock builds: 11 of 11 checks, two slots" + }, + "speeds": [ + { + "model": "Qwen3.8-Flash-Next (EXL3 3.05 bpw)", + "config": "original fork build, fp8 KV, average over the test-2 run", + "decode": 36, + "prefill": null, + "unit": "tok/s", + "context": "200k", + "date": "2026-10-04" + }, + { + "model": "Qwen3.8-Flash-Next (EXL3 3.05 bpw)", + "config": "original fork build, test 1", + "decode": 44.3, + "prefill": null, + "unit": "tok/s", + "context": "200k", + "date": "2026-10-04" + }, + { + "model": "Qwen3.8-Flash-Next (EXL3 3.05 bpw)", + "config": "newer fork build, test 1, earlier settings", + "decode": 25.3, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-11" + }, + { + "model": "Qwen3.8-Flash-Next (EXL3 3.05 bpw)", + "config": "stock build 1, two slots, prefill at 190k", + "decode": 24.1, + "prefill": 2600, + "unit": "tok/s", + "context": "204,800", + "date": "2026-10-21" + }, + { + "model": "Qwen3.8-Flash-Next (EXL3 3.05 bpw)", + "config": "stock build 2, two slots, prefill at 190k", + "decode": 24.6, + "prefill": 2600, + "unit": "tok/s", + "context": "204,800", + "date": "2026-10-21" + }, + { + "model": "Qwen3.8-Flash-Next (EXL3 3.05 bpw)", + "config": "stock build 3, two slots, prefill at 190k", + "decode": 25.1, + "prefill": 2600, + "unit": "tok/s", + "context": "204,800", + "date": "2026-10-21" + } + ], + "bugs": [ + { + "text": "Original build served one session at a time and crashed under several", + "status": "fixed", + "date": "2026-10-03" + }, + { + "text": "A test-3 run on the original build needed Strata instead", + "status": "worked around", + "date": null + } + ], + "doc": "https://github.com/alexderz/agentic-model-testing/blob/main/docs/model-research/engines.md#sglang" + }, + { + "id": "strata", + "name": "Strata", + "kind": "MoE server with hot-expert VRAM cache and built-in MTP", + "versions": [ + { + "version": "0.1.39 / 0.1.40.3", + "date": "2026-10-04 to 2026-10-09", + "note": "30-45 tok/s decode, 21-30 over a whole run; test 2 full passes with Flash-Next and Swift 1.5." + }, + { + "version": "0.1.42", + "date": "2026-10-10 to 2026-10-12", + "note": "Release defaults slower; the old PCIe share doubled long-answer decode." + }, + { + "version": "0.1.44.1", + "date": "2026-10-15", + "note": "Load 60 s against 214 s; decode 44.9 against 18.3 on 0.1.42 (mean of two rounds: cold 13.1, warm 23.5)." + }, + { + "version": "0.1.45", + "date": "2026-10-20", + "note": "IQ3_S with MTP, code prompt: 29.4 tok/s." + }, + { + "version": "0.2.0-beta", + "date": "2026-10-20", + "note": "Gyro-S with MTP: test 2 full pass in 24 minutes, 89.8 tok/s over the run; agent pagoda 9 of 10." + }, + { + "version": "0.2.2", + "date": "2026-10-22", + "note": "Gyro-S: code 121.6 to 144.1 tok/s on the same-day control, load 23 s; no agent run yet." + } + ], + "good_at": "Fastest Flash-Next decode measured; made 1-bit-class Gyro-S usable", + "watch_out": "0.2 is beta; warm up before timing; set reasoning budget", + "multi_session": { + "ok": true, + "note": "Works with parallel 2 and --batch-mtp; Gyro build unprobed" + }, + "speeds": [ + { + "model": "Qwen3.8-Flash-Next (GSQ-RCO quants)", + "config": "0.1.39 / 0.1.40.3, decode; 21-30 over a whole run", + "decode": "30-45", + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-09" + }, + { + "model": "Qwen3.8-Flash-Next", + "config": "0.1.42 release-default PCIe share, long answers", + "decode": 48, + "prefill": 1177, + "unit": "tok/s", + "context": null, + "date": "2026-10-11" + }, + { + "model": "Qwen3.8-Flash-Next", + "config": "0.1.42 old PCIe share, long answers", + "decode": 95, + "prefill": 1983, + "unit": "tok/s", + "context": null, + "date": "2026-10-11" + }, + { + "model": "Qwen3.8-Flash-Next", + "config": "0.1.42, first round, cold", + "decode": 13.1, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-15" + }, + { + "model": "Qwen3.8-Flash-Next", + "config": "0.1.42, warm round", + "decode": 23.5, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-15" + }, + { + "model": "Qwen3.8-Flash-Next", + "config": "0.1.44.1", + "decode": 44.9, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-15" + }, + { + "model": "Flash-Next IQ3_S", + "config": "0.1.45, MTP, code prompt", + "decode": 29.4, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-20" + }, + { + "model": "Flash-Next IQ3_S", + "config": "0.2.0-beta, MTP, code prompt", + "decode": 35.4, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-20" + }, + { + "model": "Flash-Next Gyro-S (TQ1_0)", + "config": "0.2.0-beta, MTP draft, code, text only", + "decode": 118.6, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-20" + }, + { + "model": "Flash-Next Gyro-S (TQ1_0)", + "config": "0.2.0-beta, MTP, average over test-2 run", + "decode": 89.8, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-20" + }, + { + "model": "Flash-Next Gyro-S (TQ1_0)", + "config": "0.2.2, MTP, code", + "decode": 144.1, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-22" + }, + { + "model": "Flash-Next Gyro-S (TQ1_0)", + "config": "0.2.2, MTP, prose", + "decode": 123.4, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-22" + }, + { + "model": "Flash-Next Gyro-S (TQ1_0)", + "config": "0.2.2, MTP, JSON", + "decode": 157.7, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-22" + } + ], + "bugs": [ + { + "text": "0.1.42 release-default PCIe share halved decode", + "status": "worked around", + "date": "2026-10-11" + }, + { + "text": "0.1.42 test 2T first start failed: engine exits locking about 40 GB host RAM", + "status": "open", + "date": null + }, + { + "text": "Gyro no-MTP arms fail to start; native pack requires speculative decoding", + "status": "open", + "date": null + }, + { + "text": "1.6-bit coder looped until reasoning_budget_tokens was set", + "status": "worked around", + "date": null + }, + { + "text": "DNS-rebinding guard returns 403 to any host name not in allowed_hosts", + "status": "worked around", + "date": null + } + ], + "doc": "https://github.com/alexderz/agentic-model-testing/blob/main/docs/model-research/engines.md#strata" + }, + { + "id": "maya", + "name": "Maya", + "kind": "tiered-expert MoE server (VRAM, RAM, SSD)", + "versions": [ + { + "version": "1.0.4 with three patches", + "date": "2026-10-08", + "note": "About 4 tok/s out of the box; 17-19 with patches once weights were on local disk. Test 1 pass (44 tests), test 2 pass (7 tools, 66 tests, 322 minutes)." + }, + { + "version": "1.1.11", + "date": "2026-10-16", + "note": "Patches upstream; 17.0 against 14.6 tok/s, first token 18 s against 92 s, 12 of 12 digit strings." + }, + { + "version": "1.1.13", + "date": "2026-10-17", + "note": "Maya-S and Maya-M IQ2_S: 12 of 12 digits, 2 of 2 needles; test 3 rubric 12 of 12 on both." + } + ], + "good_at": "Runs a 321B MoE on one card and passed both tests", + "watch_out": "Slowest model to pass both tests; first load reads 100 GB", + "multi_session": { + "ok": null, + "note": "Not measured; treated as one request at a time" + }, + "speeds": [ + { + "model": "GLM-5.3-Flash Maya-S IQ2_XXS", + "config": "1.0.4 out of the box", + "decode": 4, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-08" + }, + { + "model": "GLM-5.3-Flash Maya-S IQ2_XXS", + "config": "1.0.4 with three patches, weights on local disk", + "decode": "17-19", + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-08" + }, + { + "model": "GLM-5.3-Flash Maya-S IQ2_XXS", + "config": "1.1.11, two probe rounds (1.0.x: 14.6 on the same 3.5 bpw pack)", + "decode": 17.0, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-16" + }, + { + "model": "GLM-5.3-Flash Maya-S / Maya-M", + "config": "1.1.13, test 3 runs, both flavors", + "decode": "5.4-6.9", + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-17" + }, + { + "model": "GLM-5.3-Flash Maya-M IQ2_S", + "config": "no draft head, default PCIe share 0.36", + "decode": 16.0, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-17" + }, + { + "model": "GLM-5.3-Flash Maya-M IQ2_S", + "config": "PCIe share 0.25 (candidate, not applied)", + "decode": 17.9, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-17" + }, + { + "model": "GLM-5.3-Flash Maya-M IQ2_S", + "config": "no DFlash2 draft head", + "decode": 15.35, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-17" + }, + { + "model": "GLM-5.3-Flash Maya-M IQ2_S", + "config": "with DFlash2 draft head, 91 % of drafts accepted", + "decode": 10.7, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-17" + } + ], + "bugs": [ + { + "text": "1.0.4 decoded about 4 tok/s; every VRAM eviction re-read from the network", + "status": "fixed", + "date": "2026-10-08" + }, + { + "text": "On 1.0.x, GLM split multi-digit tool-argument numbers with spaces", + "status": "fixed", + "date": "2026-10-16" + }, + { + "text": "DFlash2 draft on Maya-M slowed decode to 10.7 from 15.35 tok/s", + "status": "worked around", + "date": "2026-10-17" + }, + { + "text": "1-bit Huihui variant failed both tests with repetition", + "status": "open", + "date": null + } + ], + "doc": "https://github.com/alexderz/agentic-model-testing/blob/main/docs/model-research/engines.md#maya" + }, + { + "id": "exllamav3", + "name": "ExLlamaV3 (TabbyAPI)", + "kind": "dense model server, EXL3 weights", + "versions": [ + { + "version": "1.6.1", + "date": "2026-10-13", + "note": "Runs Qwen3.8-27B from EXL3 4.00 bpw, unpatched, with its MTP head or the DFlash2 drafter." + }, + { + "version": "1.6.2", + "date": "2026-10-16", + "note": "140.1 against 138.6 tok/s on 1.6.1 with DFlash2, within noise." + }, + { + "version": "1.6.3", + "date": null, + "note": "Image built and staged; not in use." + } + ], + "good_at": "Larger window than vLLM for the 27B; DFlash2 without a patch", + "watch_out": "Slower than vLLM with MTP; drafting alters temperature-0 replies", + "multi_session": { + "ok": null, + "note": "Not measured" + }, + "speeds": [ + { + "model": "Qwen3.8-27B (EXL3 4.00 bpw)", + "config": "DFlash2 drafter, code; 98k window fits with 8-bit cache", + "decode": 158, + "prefill": null, + "unit": "tok/s", + "context": "16k", + "date": "2026-10-13" + }, + { + "model": "Qwen3.8-27B (EXL3 4.00 bpw)", + "config": "DFlash2 drafter, prose", + "decode": 73, + "prefill": null, + "unit": "tok/s", + "context": "16k", + "date": "2026-10-13" + }, + { + "model": "Qwen3.8-27B (EXL3 4.00 bpw)", + "config": "DFlash2 drafter, structured output", + "decode": 181, + "prefill": null, + "unit": "tok/s", + "context": "16k", + "date": "2026-10-13" + }, + { + "model": "Qwen3.8-27B (EXL3 4.00 bpw)", + "config": "own MTP head, code; 196k window fits with 8-bit cache", + "decode": 116, + "prefill": null, + "unit": "tok/s", + "context": "16k", + "date": "2026-10-13" + }, + { + "model": "Qwen3.8-27B (EXL3 4.00 bpw)", + "config": "own MTP head, prose", + "decode": 70, + "prefill": null, + "unit": "tok/s", + "context": "16k", + "date": "2026-10-13" + }, + { + "model": "Qwen3.8-27B (EXL3 4.00 bpw)", + "config": "own MTP head, structured output", + "decode": 128, + "prefill": null, + "unit": "tok/s", + "context": "16k", + "date": "2026-10-13" + }, + { + "model": "Qwen3.8-27B (EXL3 4.00 bpw)", + "config": "no drafting, one round", + "decode": 42, + "prefill": null, + "unit": "tok/s", + "context": "16k", + "date": "2026-10-13" + }, + { + "model": "Qwen3.8-27B (EXL3 4.00 bpw)", + "config": "1.6.2, DFlash2, thinking off", + "decode": 140.1, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-16" + }, + { + "model": "Qwen3.8-27B (EXL3 4.00 bpw)", + "config": "MTP served at 196k, short code; prompts read at 650-740", + "decode": 115, + "prefill": "650-740", + "unit": "tok/s", + "context": "196k", + "date": null + }, + { + "model": "Qwen3.8-27B (EXL3 4.00 bpw)", + "config": "MTP served at 196k, 141k of context", + "decode": 72, + "prefill": null, + "unit": "tok/s", + "context": "141k history", + "date": null + } + ], + "bugs": [ + { + "text": "At temperature 0, drafting changed 7 of 15 DFlash2 replies", + "status": "open", + "date": "2026-10-13" + }, + { + "text": "At temperature 0, drafting changed 10 of 15 MTP replies", + "status": "open", + "date": "2026-10-13" + }, + { + "text": "MTP setup scored 0 in five of six one-shot pagoda tries", + "status": "open", + "date": "2026-10-14" + } + ], + "doc": "https://github.com/alexderz/agentic-model-testing/blob/main/docs/model-research/engines.md#exllamav3-tabbyapi" + }, + { + "id": "tensorfold", + "name": "TensorFold", + "kind": "dense model server with DFlash2 drafting", + "versions": [ + { + "version": "0.6.6 (Python engine)", + "date": "2026-10-13", + "note": "Fastest writer measured for Qwen3.8-27B on the 3090; Python line frozen upstream." + }, + { + "version": "1.1.0 (upstream)", + "date": "2026-10-18", + "note": "Reports native RTX 30 support; we have not built or run it." + } + ], + "good_at": "Raw decode speed; exact replies at temperature 0", + "watch_out": "Needs a local patch below compute capability 8.9; bf16 cache only", + "multi_session": { + "ok": null, + "note": "Not measured" + }, + "speeds": [ + { + "model": "Qwen3.8-27B", + "config": "DFlash2 drafter, short code (167-170 across runs)", + "decode": 170, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-13" + }, + { + "model": "Qwen3.8-27B", + "config": "DFlash2 drafter, prose (81-84 across runs)", + "decode": 84, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-13" + }, + { + "model": "Qwen3.8-27B", + "config": "DFlash2 drafter, structured output (209-211 across runs)", + "decode": 211, + "prefill": null, + "unit": "tok/s", + "context": null, + "date": "2026-10-13" + } + ], + "bugs": [ + { + "text": "Needed a local patch to run below compute capability 8.9", + "status": "worked around", + "date": null + }, + { + "text": "Cache is bf16 only: 42k window by default, 73k at the edge", + "status": "open", + "date": null + }, + { + "text": "Python line is frozen upstream; engine parked, not in the router", + "status": "open", + "date": null + } + ], + "doc": "https://github.com/alexderz/agentic-model-testing/blob/main/docs/model-research/engines.md#tensorfold" + }, + { + "id": "tqllm", + "name": "tqLLM", + "kind": "Flash-Next GGUF server (trial)", + "versions": [ + { + "version": "1.2.3", + "date": "2026-10-22", + "note": "Trial with the Flash-Next IQ3_S GGUF and its MTP head against the live llama.cpp entry; first load 23 minutes cold, then 2-3." + } + ], + "good_at": "Fast short replies: about 2.5 times llama.cpp on the same GGUF", + "watch_out": "Fails after one out-of-memory prefill; health check still says ok", + "multi_session": { + "ok": false, + "note": "Failed: 4 of 11 at best; llama.cpp passed 11" + }, + "speeds": [ + { + "model": "Flash-Next IQ3_S + MTP head", + "config": "short outputs, thinking off, code; prefill about 2,000 on a 30k prompt", + "decode": 101.7, + "prefill": 2000, + "unit": "tok/s", + "context": "32k", + "date": "2026-10-22" + }, + { + "model": "Flash-Next IQ3_S + MTP head", + "config": "short outputs, thinking off, prose", + "decode": 79.9, + "prefill": null, + "unit": "tok/s", + "context": "32k", + "date": "2026-10-22" + }, + { + "model": "Flash-Next IQ3_S + MTP head", + "config": "short outputs, thinking off, structured output", + "decode": 111.8, + "prefill": null, + "unit": "tok/s", + "context": "32k", + "date": "2026-10-22" + }, + { + "model": "Flash-Next IQ3_S + MTP head", + "config": "default 262k window, same bench, code", + "decode": 105.2, + "prefill": null, + "unit": "tok/s", + "context": "262k", + "date": "2026-10-22" + }, + { + "model": "Flash-Next IQ3_S + MTP head", + "config": "default 262k window, same bench, prose", + "decode": 83.5, + "prefill": null, + "unit": "tok/s", + "context": "262k", + "date": "2026-10-22" + }, + { + "model": "Flash-Next IQ3_S + MTP head", + "config": "default 262k window, same bench, structured output", + "decode": 107.1, + "prefill": null, + "unit": "tok/s", + "context": "262k", + "date": "2026-10-22" + }, + { + "model": "Flash-Next IQ3_S + MTP head", + "config": "smoke decode of a 37-token prompt, best 262k arm (not a bench)", + "decode": 53.9, + "prefill": null, + "unit": "tok/s", + "context": "262k", + "date": "2026-10-22" + } + ], + "bugs": [ + { + "text": "First prompt short on VRAM for prefill fails; every later request fails", + "status": "open", + "date": "2026-10-22" + }, + { + "text": "At 131072 the first failure came on a 289-token prompt", + "status": "open", + "date": "2026-10-22" + }, + { + "text": "Health check keeps answering ok after failure, so a router never notices", + "status": "open", + "date": "2026-10-22" + }, + { + "text": "Default 262k arm answered long prompts with HTTP 500", + "status": "open", + "date": "2026-10-22" + }, + { + "text": "Expert-cache flag had no visible effect on Flash-Next", + "status": "open", + "date": "2026-10-22" + } + ], + "doc": "https://github.com/alexderz/agentic-model-testing/blob/main/docs/model-research/engines.md#tqllm" + } + ], + "tuning": [ + { + "id": "vram-tiers", + "title": "Pick the VRAM tier first", + "rule": "Choose how much of the model sits in VRAM first, then the model.", + "metrics": [ + { + "label": "Everything on the GPU, typical decode", + "before": null, + "after": "45-175", + "unit": "tok/s" + }, + { + "label": "A few expert layers in RAM, typical decode", + "before": null, + "after": "60-95", + "unit": "tok/s" + }, + { + "label": "Experts mostly in RAM, typical decode", + "before": null, + "after": "3-26", + "unit": "tok/s" + }, + { + "label": "Flint Q4_K_XL decode, 15 to 24 expert layers in RAM", + "before": 81.4, + "after": 64.2, + "unit": "tok/s" + }, + { + "label": "Flint Q4_K_XL prefill of 11.7k prompt, 15 to 24 layers", + "before": 2208, + "after": 1624, + "unit": "tok/s" + }, + { + "label": "Ornith-1.5-122B decode, 42 to 40 expert layers on CPU", + "before": 13.7, + "after": 16.3, + "unit": "tok/s" + } + ], + "chart": "tiers", + "evidence": "Flint Q4_K_XL, 2026-10-21/22: 81.4, 73.1, 64.2 tok/s at 15, 19, 24 expert layers in RAM.", + "caveat": "The expert cache moved the bottom tier up, not out.", + "doc": "https://github.com/alexderz/agentic-model-testing/blob/main/docs/model-research/tuning.md#1-vram-tiers-pick-the-tier-first" + }, + { + "id": "expert-cache", + "title": "Cache hot experts on Flash-Next", + "rule": "For Flash-Next, keep all experts in RAM and cache the hot ones on the GPU.", + "metrics": [ + { + "label": "Orcarouter IQ4_XS streamed decode", + "before": "12-14", + "after": 19, + "unit": "tok/s" + }, + { + "label": "Heretic2 IQ4XS-NGQ4 streamed decode", + "before": "11-14", + "after": 18, + "unit": "tok/s" + }, + { + "label": "Abliterated s1.5 IQ4_XS streamed decode", + "before": "11.5-14.6", + "after": "19-21", + "unit": "tok/s" + }, + { + "label": "Swift 1.5 IQ3_XXS streamed decode", + "before": "13-17", + "after": "23-26", + "unit": "tok/s" + }, + { + "label": "Unpruned IQ3_S streamed decode", + "before": "12.5-15", + "after": "21-23", + "unit": "tok/s" + }, + { + "label": "Prefill on fresh loads, 16k and 48k", + "before": 250, + "after": "415-427", + "unit": "tok/s" + } + ], + "chart": "bars", + "evidence": "2026-10-22, Flash-Next only, five GGUFs at 262k: cache beat layer split on all; live on 12 entries.", + "caveat": "Untested for Ornith and Flint; not yet run through tests 1 and 2.", + "doc": "https://github.com/alexderz/agentic-model-testing/blob/main/docs/model-research/tuning.md#2-expert-placement--ncmoe-against--cmoe-plus-the-expert-cache" + }, + { + "id": "kv-precision", + "title": "Use 8-bit KV when it buys room", + "rule": "Use 8-bit KV when it buys context, expert cache or batch; else f16.", + "metrics": [ + { + "label": "Mean KL, f16 KV against 8-bit KV plus cache", + "before": null, + "after": 0.0011, + "unit": "KL" + }, + { + "label": "Mean KL between two loads of the new config (noise floor)", + "before": null, + "after": 0.0002, + "unit": "KL" + }, + { + "label": "Top-1 agreement, old against new config", + "before": null, + "after": 98.2, + "unit": "%" + }, + { + "label": "Top-1 agreement between two loads (noise floor)", + "before": null, + "after": 99.6, + "unit": "%" + }, + { + "label": "Needles found in both configs", + "before": null, + "after": 8, + "unit": "of 8" + }, + { + "label": "vLLM window, FP8 KV against 4/2-bit KV", + "before": 150, + "after": 240, + "unit": "k tokens" + } + ], + "chart": "bars", + "evidence": "2026-10-22, Orcarouter GGUF: f16 KV against 8-bit KV plus cache gives mean KL 0.0011, top-1 98.2 %.", + "caveat": "KV type and cache could not be separated on 24 GB.", + "doc": "https://github.com/alexderz/agentic-model-testing/blob/main/docs/model-research/tuning.md#3-kv-precision" + }, + { + "id": "batch-ubatch", + "title": "Raise ubatch until it stops loading", + "rule": "Take the largest -ub that still loads with everything else in place.", + "metrics": [ + { + "label": "Ornith prefill, 41 expert layers on CPU, -ub 2048", + "before": 116, + "after": 392, + "unit": "tok/s" + }, + { + "label": "Ornith decode, same change", + "before": 16.0, + "after": 16.1, + "unit": "tok/s" + }, + { + "label": "Flint prefill of 11.7k prompt at -ub 2048", + "before": null, + "after": 5357, + "unit": "tok/s" + } + ], + "chart": "slope", + "evidence": "Ornith, 41 expert layers on CPU, 2026-10-20: -ub 2048 lifted prefill from 116 to 392 tok/s.", + "caveat": "Too large fails: OrcaSAQ-2 needed -ub 256 at 22.7 of 24 GiB.", + "doc": "https://github.com/alexderz/agentic-model-testing/blob/main/docs/model-research/tuning.md#4-batch-and-ubatch" + }, + { + "id": "context-margin", + "title": "Tell the agent a smaller context", + "rule": "Give the agent a context window smaller than the server's by max(10%, 16k).", + "metrics": [ + { + "label": "Compaction point on a 150k vLLM server", + "before": 71000, + "after": 89328, + "unit": "tokens" + }, + { + "label": "Share of window at compaction", + "before": 47, + "after": 60, + "unit": "%" + }, + { + "label": "Compactions in one 57k vLLM test", + "before": null, + "after": 55, + "unit": "times" + }, + { + "label": "Compactions with the Pi agent on the 57k setup", + "before": null, + "after": 8, + "unit": "times" + } + ], + "chart": "slope", + "evidence": "2026-10-04: a 240k vLLM case died at 213,761 prompt plus 32,000 reply against a 245,760 window.", + "caveat": "Runs before 2026-10-14, all of test 2, used the old window.", + "doc": "https://github.com/alexderz/agentic-model-testing/blob/main/docs/model-research/tuning.md#5-context-margin-and-thinking-budget" + }, + { + "id": "thinking-budget", + "title": "Cap thinking inside the reply cap", + "rule": "Set the thinking budget to min(24000, reply cap minus 6000).", + "metrics": [ + { + "label": "Round 1 endpoints rescued, reasoning off", + "before": null, + "after": 6, + "unit": "of 9" + }, + { + "label": "Round 1 endpoints rescued, budget 4096", + "before": null, + "after": 8, + "unit": "of 9" + }, + { + "label": "Round 1 endpoints rescued, budget 16384", + "before": null, + "after": 4, + "unit": "of 9" + }, + { + "label": "Length of the one runaway think (OrcaSAQ-2)", + "before": null, + "after": 87000, + "unit": "characters" + } + ], + "chart": "bars", + "evidence": "2026-10-04: a cap of 23,961 under a flat 24,000 budget let one 87,000-character think eat the reply.", + "caveat": "A budget stops runaway thinking, not output loops.", + "doc": "https://github.com/alexderz/agentic-model-testing/blob/main/docs/model-research/tuning.md#5-context-margin-and-thinking-budget" + }, + { + "id": "maker-sampling", + "title": "Serve the maker's sampling", + "rule": "Serve the maker's recommended sampling on the server; coding agents usually send none.", + "metrics": [ + { + "label": "Ternary Bonsai 2 test 1 score, with the makers' agent settings", + "before": 2, + "after": 5, + "unit": "of 5" + }, + { + "label": "Tiel Coder Q4_K_XL test 2 decode, makers' temperature 0.6", + "before": null, + "after": 78.6, + "unit": "tok/s" + }, + { + "label": "Tiel Coder Q4_K_XL test 2 duration", + "before": null, + "after": 27, + "unit": "minutes" + } + ], + "chart": "slope", + "evidence": "Adopted for every entry 2026-10-09 after loops ruined several runs; Bonsai 2 test 1 rose 2/5 to 5/5.", + "caveat": "Not a cure-all: Devstral Small 2, Qwen3.6-35B, GLM-4.7-Flash still failed.", + "doc": "https://github.com/alexderz/agentic-model-testing/blob/main/docs/model-research/tuning.md#6-maker-sampling" + }, + { + "id": "speculative-decoding", + "title": "Draft only when the model fits", + "rule": "Use speculative decoding when the model is on the GPU; check answers stay unchanged.", + "metrics": [ + { + "label": "Qwen3.8-27B code, plain against llama.cpp MTP", + "before": 42, + "after": 93, + "unit": "tok/s" + }, + { + "label": "Qwen3.8-27B code, plain against ExLlamaV3 MTP", + "before": 42, + "after": 116, + "unit": "tok/s" + }, + { + "label": "Qwen3.8-27B code, plain against ExLlamaV3 DFlash2", + "before": 42, + "after": 158, + "unit": "tok/s" + }, + { + "label": "Qwen3.8-27B code, plain against TensorFold DFlash2", + "before": 42, + "after": 170, + "unit": "tok/s" + }, + { + "label": "Gemma 4 26B-A4B with MTP drafter, short code against 141k of history", + "before": 267, + "after": 123, + "unit": "tok/s" + }, + { + "label": "Ornith-1.5-122B experts in RAM, no draft against MTP with two drafts", + "before": 16.3, + "after": 16.7, + "unit": "tok/s" + }, + { + "label": "Ornith-1.5-122B, no draft against a DFlash drafter", + "before": 16.3, + "after": 11.5, + "unit": "tok/s" + }, + { + "label": "Maya-M IQ2_S, no draft against DFlash2 draft", + "before": 15.35, + "after": 10.7, + "unit": "tok/s" + } + ], + "chart": "bars", + "evidence": "2026-10-13, Qwen3.8-27B code, one card: 42 tok/s plain, 170 with TensorFold DFlash2; Ornith in RAM gained nothing.", + "caveat": "At temperature 0 drafting changed 7 of 15 DFlash2 replies; TensorFold none.", + "doc": "https://github.com/alexderz/agentic-model-testing/blob/main/docs/model-research/tuning.md#7-speculative-decoding-when-it-pays" + }, + { + "id": "warm-cache", + "title": "Warm up and measure twice", + "rule": "Warm up before timing; run each setting twice in opposite orders; never rank on one run.", + "metrics": [ + { + "label": "Strata 0.1.42 prompt reading, cold against warm", + "before": 44, + "after": 1269, + "unit": "tok/s" + }, + { + "label": "Strata 0.1.42 decode, cold against warm round", + "before": 13.1, + "after": 23.5, + "unit": "tok/s" + }, + { + "label": "Unpruned Flash-Next GGUF, raw benchmark against streamed", + "before": 40, + "after": "21-23", + "unit": "tok/s" + }, + { + "label": "Prefill, fresh load against quality-script runs (not reproduced)", + "before": "85-100", + "after": 415, + "unit": "tok/s" + } + ], + "chart": "slope", + "evidence": "Strata 0.1.42, 2026-10-11: the same prompt read at 44 tok/s cold and 1,269 warm.", + "caveat": "Differences smaller than the second-round speedup were treated as noise.", + "doc": "https://github.com/alexderz/agentic-model-testing/blob/main/docs/model-research/tuning.md#8-cold-against-warm-page-cache-and-measuring-twice" + }, + { + "id": "pcie-share", + "title": "Measure the PCIe share setting", + "rule": "Measure an engine's GPU-CPU transfer share on your own card; release defaults can be wrong.", + "metrics": [ + { + "label": "Strata 0.1.42 long-answer decode, default against old share", + "before": 48, + "after": 95, + "unit": "tok/s" + }, + { + "label": "Strata 0.1.42 big-prompt reading", + "before": 1177, + "after": 1983, + "unit": "tok/s" + }, + { + "label": "Test 1 duration", + "before": 94, + "after": 51, + "unit": "minutes" + }, + { + "label": "Test 2 duration", + "before": 98, + "after": 61, + "unit": "minutes" + }, + { + "label": "Test 2 tests passed", + "before": 72, + "after": 77, + "unit": "tests" + }, + { + "label": "Maya-M decode, share 0.36 against 0.25 (not applied)", + "before": 16.0, + "after": 17.9, + "unit": "tok/s" + } + ], + "chart": "slope", + "evidence": "Strata 0.1.42 on Flash-Next, 2026-10-11: older PCIe share doubled long-answer decode, 48 to 95 tok/s.", + "caveat": "Maya-M's +12 % candidate was measured 2026-10-17 and not applied.", + "doc": "https://github.com/alexderz/agentic-model-testing/blob/main/docs/model-research/tuning.md#9-pcie-share-and-other-engine-internal-knobs" + }, + { + "id": "engine-choice", + "title": "Choose the engine for the model", + "rule": "Choose the engine for the model class, then tune; short-request speed is not agent readiness.", + "metrics": [ + { + "label": "Flash-Next, experts in RAM: llama.cpp 0.4 (2026-10-05)", + "before": null, + "after": 2.2, + "unit": "tok/s" + }, + { + "label": "Flash-Next, experts in RAM: llama.cpp 0.6 (2026-10-05)", + "before": null, + "after": 8.9, + "unit": "tok/s" + }, + { + "label": "Flash-Next: Strata (2026-10-04)", + "before": null, + "after": "30-45", + "unit": "tok/s" + }, + { + "label": "Flash-Next: llama.cpp 0.7.0 with cache, streamed (2026-10-22)", + "before": null, + "after": "19-26", + "unit": "tok/s" + }, + { + "label": "Flash-Next Gyro-S on Strata 0.2.2, code (2026-10-22)", + "before": null, + "after": 144, + "unit": "tok/s" + }, + { + "label": "Multi-session checks passed: tqLLM (best) against stock SGLang", + "before": 4, + "after": 11, + "unit": "of 11" + } + ], + "chart": "timeline", + "evidence": "Flash-Next with experts in RAM: 2.2 tok/s on llama.cpp 0.4 to 144 on Strata 0.2.2 (2026-10-22).", + "caveat": "Quants differ across rows; Strata's 144 is Gyro-S on code.", + "doc": "https://github.com/alexderz/agentic-model-testing/blob/main/docs/model-research/tuning.md#10-engine-choice" + }, + { + "id": "quality-checks", + "title": "Check a setup before trusting speed", + "rule": "Run quality and multi-session checks on every new engine or settings change before ranking speed.", + "metrics": [ + { + "label": "tqLLM code decode against llama.cpp on the same GGUF", + "before": 40.3, + "after": 101.7, + "unit": "tok/s" + }, + { + "label": "Multi-session checks passed, tqLLM (best) against llama.cpp live", + "before": 4, + "after": 11, + "unit": "of 11" + }, + { + "label": "Multi-session checks passed, Carbon-X at one slot", + "before": null, + "after": 10, + "unit": "of 11" + }, + { + "label": "Old runs regraded, 2026-10-10", + "before": null, + "after": 125, + "unit": "runs" + }, + { + "label": "Verdicts changed by the regrade", + "before": null, + "after": 4, + "unit": "verdicts" + } + ], + "chart": "bars", + "evidence": "2026-10-22: tqLLM decoded about 2.5 times faster than llama.cpp yet passed at best 4 of 11 multi-session checks.", + "caveat": "A speed result without the probe next to it is a lead, not a pick.", + "doc": "https://github.com/alexderz/agentic-model-testing/blob/main/docs/model-research/tuning.md#11-the-quality-checks-we-use" + } + ], + "quality_checks": [ + { + "id": "kl-top1", + "name": "KL and top-1 agreement", + "what": "Greedy logprobs old against new config, same GGUF, cuts of 2k-100k tokens", + "threshold": "Compare with the noise floor: KL 0.0002, top-1 99.6 %", + "example": "Expert cache, 2026-10-22: KL 0.0011, top-1 98.2 %" + }, + { + "id": "needle", + "name": "Needle in a haystack", + "what": "Planted code in filler text, 16k to 250k tokens, room left for thinking", + "threshold": null, + "example": "Stock SGLang needles at 100k, 150k, 190k on two of three builds" + }, + { + "id": "digit-copy", + "name": "Digit-copy probe", + "what": "Copies digit strings in long prompts and finds two needles", + "threshold": "12 of 12 strings and both needles", + "example": "Maya 1.0.4 split one string; 1.1.11 copied 12 of 12" + }, + { + "id": "tool-call", + "name": "Tool-call probe", + "what": "One function call with arguments, parsed", + "threshold": null, + "example": "Passed on every engine until tqLLM's first failure" + }, + { + "id": "multi-session", + "name": "Multi-session probe", + "what": "11 checks: parallel answers, two decoding together, tool calls, long plus short, five concurrent", + "threshold": "11 of 11 (10 of 11 at one slot, by design)", + "example": "llama.cpp live 11 of 11; tqLLM 3, 0 and 4 of 11" + }, + { + "id": "agent-tests", + "name": "Real agent tests", + "what": "Tests 1 to 8; the only check that sees what an agent does", + "threshold": null, + "example": "Gyro-S + MTP test 2: full pass in 24 minutes" + }, + { + "id": "grader-audits", + "name": "Grader audits", + "what": "Regrade old runs when a grader changes", + "threshold": null, + "example": "125 runs regraded 2026-10-10; four verdicts changed" + } + ], "oneshots": { "orrery": [ { diff --git a/site/data/deep.json b/site/data/deep.json index 4e30f5d..e89d79e 100644 --- a/site/data/deep.json +++ b/site/data/deep.json @@ -6,7 +6,7 @@ "name": "llama.cpp", "kind": "GGUF server; dense models and MoE with experts in RAM", "versions": [ - {"version": "0.4.1-dev (commit 4260903)", "date": "2026-09-23 to 2026-10-18", "note": "Bundled build used by the native entries; Flash-Next with experts in RAM: 2.2 tok/s on the probe."}, + {"version": "0.4.1-dev (commit 4260903)", "date": "2026-09-23 to 2026-10-18", "note": "Bundled build used by the native entries; Flash-Next with experts in RAM: 2.2 tok/s on the probe; long agent runs on it ran out of time."}, {"version": "0.6.0 (official image, build 11429)", "date": "2026-10-05", "note": "2.5-4x faster than 0.4 on Flash-Next with experts in RAM; MTP and n-gram drafting fixes."}, {"version": "0.7.0", "date": "2026-10-15", "note": "Adds a GPU cache for experts kept in RAM (--moe-cache-mib); in the router since 2026-10-18."}, {"version": "Newer official builds", "date": "2026-10-21", "note": "Flint needs b11803 or later; Carbon-X needs b11742 or later; trials ran by hand, not in the router."} @@ -43,7 +43,7 @@ {"model": "Qwen3.8-27B Cyber", "config": "0.6, all on GPU, with MTP", "decode": 82.2, "prefill": null, "unit": "tok/s", "context": "49k", "date": "2026-10-05"}, {"model": "OrcaSAQ-2-Cyber-27B", "config": "0.6, all on GPU, no drafting", "decode": 83.2, "prefill": null, "unit": "tok/s", "context": "49k", "date": "2026-10-05"}, {"model": "OrcaSAQ-2-Cyber-27B", "config": "0.6, n-gram drafts, copy-heavy output", "decode": 412, "prefill": null, "unit": "tok/s", "context": "49k", "date": "2026-10-05"}, - {"model": "Cyber-Tiel-Coder-35B", "config": "0.6, 20 expert layers in RAM", "decode": 50.5, "prefill": null, "unit": "tok/s", "context": "49k", "date": "2026-10-05"} + {"model": "Cyber-Tiel-Coder-35B", "config": "0.6, 20 expert layers in RAM, short probe", "decode": 50.5, "prefill": null, "unit": "tok/s", "context": "49k", "date": "2026-10-05"} ], "bugs": [ {"text": "0.4.1-dev ran Flash-Next with experts in RAM 2.5-4x slower than 0.6", "status": "fixed", "date": "2026-10-05"}, @@ -91,7 +91,7 @@ "versions": [ {"version": "Original fork build", "date": "2026-10-01 to 2026-10-04", "note": "200k, fp8 KV; built the best test-2 server of all runs: 12 tools, 155 tests, 124 minutes."}, {"version": "Newer fork build (phase D)", "date": "2026-10-11", "note": "11 of 11 multi-session checks; test 2 cut off and never graded; dropped 2026-10-21."}, - {"version": "Three stock builds", "date": "2026-10-21", "note": "204,800 context, two slots, EXL3 3.05 bpw, 21-21.4 GB, load 252-262 s."} + {"version": "Three stock builds", "date": "2026-10-21", "note": "204,800 context, two slots, EXL3 3.05 bpw, 20.8-21.4 GB, load 252-262 s; needles at 100k, 150k, 190k passed on two of three builds (8-bit KV build not run)."} ], "good_at": "Most capable Flash-Next setup tested: images, 200k window", "watch_out": "Slower than the 27B stacks; no agent test rerun on stock builds", @@ -117,7 +117,7 @@ "versions": [ {"version": "0.1.39 / 0.1.40.3", "date": "2026-10-04 to 2026-10-09", "note": "30-45 tok/s decode, 21-30 over a whole run; test 2 full passes with Flash-Next and Swift 1.5."}, {"version": "0.1.42", "date": "2026-10-10 to 2026-10-12", "note": "Release defaults slower; the old PCIe share doubled long-answer decode."}, - {"version": "0.1.44.1", "date": "2026-10-15", "note": "Load 60 s against 214 s; decode 44.9 against 18.3 (23.5 warm) on 0.1.42."}, + {"version": "0.1.44.1", "date": "2026-10-15", "note": "Load 60 s against 214 s; decode 44.9 against 18.3 on 0.1.42 (mean of two rounds: cold 13.1, warm 23.5)."}, {"version": "0.1.45", "date": "2026-10-20", "note": "IQ3_S with MTP, code prompt: 29.4 tok/s."}, {"version": "0.2.0-beta", "date": "2026-10-20", "note": "Gyro-S with MTP: test 2 full pass in 24 minutes, 89.8 tok/s over the run; agent pagoda 9 of 10."}, {"version": "0.2.2", "date": "2026-10-22", "note": "Gyro-S: code 121.6 to 144.1 tok/s on the same-day control, load 23 s; no agent run yet."} @@ -129,7 +129,7 @@ {"model": "Qwen3.8-Flash-Next (GSQ-RCO quants)", "config": "0.1.39 / 0.1.40.3, decode; 21-30 over a whole run", "decode": "30-45", "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-09"}, {"model": "Qwen3.8-Flash-Next", "config": "0.1.42 release-default PCIe share, long answers", "decode": 48, "prefill": 1177, "unit": "tok/s", "context": null, "date": "2026-10-11"}, {"model": "Qwen3.8-Flash-Next", "config": "0.1.42 old PCIe share, long answers", "decode": 95, "prefill": 1983, "unit": "tok/s", "context": null, "date": "2026-10-11"}, - {"model": "Qwen3.8-Flash-Next", "config": "0.1.42, first round, cold", "decode": 18.3, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-15"}, + {"model": "Qwen3.8-Flash-Next", "config": "0.1.42, first round, cold", "decode": 13.1, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-15"}, {"model": "Qwen3.8-Flash-Next", "config": "0.1.42, warm round", "decode": 23.5, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-15"}, {"model": "Qwen3.8-Flash-Next", "config": "0.1.44.1", "decode": 44.9, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-15"}, {"model": "Flash-Next IQ3_S", "config": "0.1.45, MTP, code prompt", "decode": 29.4, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-20"}, @@ -154,7 +154,7 @@ "name": "Maya", "kind": "tiered-expert MoE server (VRAM, RAM, SSD)", "versions": [ - {"version": "1.0.4 with three patches", "date": "2026-10-08", "note": "About 4 tok/s out of the box; 17-19 with patches. Test 1 pass (44 tests), test 2 pass (7 tools, 66 tests, 322 minutes)."}, + {"version": "1.0.4 with three patches", "date": "2026-10-08", "note": "About 4 tok/s out of the box; 17-19 with patches once weights were on local disk. Test 1 pass (44 tests), test 2 pass (7 tools, 66 tests, 322 minutes)."}, {"version": "1.1.11", "date": "2026-10-16", "note": "Patches upstream; 17.0 against 14.6 tok/s, first token 18 s against 92 s, 12 of 12 digit strings."}, {"version": "1.1.13", "date": "2026-10-17", "note": "Maya-S and Maya-M IQ2_S: 12 of 12 digits, 2 of 2 needles; test 3 rubric 12 of 12 on both."} ], @@ -163,9 +163,9 @@ "multi_session": {"ok": null, "note": "Not measured; treated as one request at a time"}, "speeds": [ {"model": "GLM-5.3-Flash Maya-S IQ2_XXS", "config": "1.0.4 out of the box", "decode": 4, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-08"}, - {"model": "GLM-5.3-Flash Maya-S IQ2_XXS", "config": "1.0.4 with three patches", "decode": "17-19", "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-08"}, - {"model": "GLM-5.3-Flash Maya-S IQ2_XXS", "config": "1.1.11, two rounds", "decode": 17.0, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-16"}, - {"model": "GLM-5.3-Flash Maya-S / Maya-M", "config": "1.1.13, test 3 runs, both flavors", "decode": "5.4-7.1", "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-17"}, + {"model": "GLM-5.3-Flash Maya-S IQ2_XXS", "config": "1.0.4 with three patches, weights on local disk", "decode": "17-19", "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-08"}, + {"model": "GLM-5.3-Flash Maya-S IQ2_XXS", "config": "1.1.11, two probe rounds (1.0.x: 14.6 on the same 3.5 bpw pack)", "decode": 17.0, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-16"}, + {"model": "GLM-5.3-Flash Maya-S / Maya-M", "config": "1.1.13, test 3 runs, both flavors", "decode": "5.4-6.9", "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-17"}, {"model": "GLM-5.3-Flash Maya-M IQ2_S", "config": "no draft head, default PCIe share 0.36", "decode": 16.0, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-17"}, {"model": "GLM-5.3-Flash Maya-M IQ2_S", "config": "PCIe share 0.25 (candidate, not applied)", "decode": 17.9, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-17"}, {"model": "GLM-5.3-Flash Maya-M IQ2_S", "config": "no DFlash2 draft head", "decode": 15.35, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-17"}, @@ -242,12 +242,15 @@ ], "good_at": "Fast short replies: about 2.5 times llama.cpp on the same GGUF", "watch_out": "Fails after one out-of-memory prefill; health check still says ok", - "multi_session": {"ok": false, "note": "Failed: 3, 0, 4 of 11 at 32k, 128k, 262k"}, + "multi_session": {"ok": false, "note": "Failed: 4 of 11 at best; llama.cpp passed 11"}, "speeds": [ {"model": "Flash-Next IQ3_S + MTP head", "config": "short outputs, thinking off, code; prefill about 2,000 on a 30k prompt", "decode": 101.7, "prefill": 2000, "unit": "tok/s", "context": "32k", "date": "2026-10-22"}, {"model": "Flash-Next IQ3_S + MTP head", "config": "short outputs, thinking off, prose", "decode": 79.9, "prefill": null, "unit": "tok/s", "context": "32k", "date": "2026-10-22"}, {"model": "Flash-Next IQ3_S + MTP head", "config": "short outputs, thinking off, structured output", "decode": 111.8, "prefill": null, "unit": "tok/s", "context": "32k", "date": "2026-10-22"}, - {"model": "Flash-Next IQ3_S + MTP head", "config": "best 262k arm, streamed", "decode": 54, "prefill": null, "unit": "tok/s", "context": "262k", "date": "2026-10-22"} + {"model": "Flash-Next IQ3_S + MTP head", "config": "default 262k window, same bench, code", "decode": 105.2, "prefill": null, "unit": "tok/s", "context": "262k", "date": "2026-10-22"}, + {"model": "Flash-Next IQ3_S + MTP head", "config": "default 262k window, same bench, prose", "decode": 83.5, "prefill": null, "unit": "tok/s", "context": "262k", "date": "2026-10-22"}, + {"model": "Flash-Next IQ3_S + MTP head", "config": "default 262k window, same bench, structured output", "decode": 107.1, "prefill": null, "unit": "tok/s", "context": "262k", "date": "2026-10-22"}, + {"model": "Flash-Next IQ3_S + MTP head", "config": "smoke decode of a 37-token prompt, best 262k arm (not a bench)", "decode": 53.9, "prefill": null, "unit": "tok/s", "context": "262k", "date": "2026-10-22"} ], "bugs": [ {"text": "First prompt short on VRAM for prefill fails; every later request fails", "status": "open", "date": "2026-10-22"}, @@ -279,8 +282,8 @@ }, { "id": "expert-cache", - "title": "Cache hot experts instead of splitting layers", - "rule": "Keep all experts in RAM and cache the hot ones on the GPU (llama.cpp 0.7.0).", + "title": "Cache hot experts on Flash-Next", + "rule": "For Flash-Next, keep all experts in RAM and cache the hot ones on the GPU.", "metrics": [ {"label": "Orcarouter IQ4_XS streamed decode", "before": "12-14", "after": 19, "unit": "tok/s"}, {"label": "Heretic2 IQ4XS-NGQ4 streamed decode", "before": "11-14", "after": 18, "unit": "tok/s"}, @@ -290,8 +293,8 @@ {"label": "Prefill on fresh loads, 16k and 48k", "before": 250, "after": "415-427", "unit": "tok/s"} ], "chart": "bars", - "evidence": "2026-10-22, Flash-Next, five GGUFs at 262k: cache beat layer split on all; live on 12 entries.", - "caveat": "Not yet run through tests 1 and 2.", + "evidence": "2026-10-22, Flash-Next only, five GGUFs at 262k: cache beat layer split on all; live on 12 entries.", + "caveat": "Untested for Ornith and Flint; not yet run through tests 1 and 2.", "doc": "docs/model-research/tuning.md#2-expert-placement--ncmoe-against--cmoe-plus-the-expert-cache" }, { @@ -316,12 +319,12 @@ "title": "Raise ubatch until it stops loading", "rule": "Take the largest -ub that still loads with everything else in place.", "metrics": [ - {"label": "Ornith prefill, 41 expert layers on CPU, -ub 2048", "before": 118, "after": 392, "unit": "tok/s"}, - {"label": "Ornith decode, same change", "before": 16.1, "after": 16.1, "unit": "tok/s"}, + {"label": "Ornith prefill, 41 expert layers on CPU, -ub 2048", "before": 116, "after": 392, "unit": "tok/s"}, + {"label": "Ornith decode, same change", "before": 16.0, "after": 16.1, "unit": "tok/s"}, {"label": "Flint prefill of 11.7k prompt at -ub 2048", "before": null, "after": 5357, "unit": "tok/s"} ], "chart": "slope", - "evidence": "Ornith, 41 expert layers on CPU, 2026-10-20: -ub 2048 lifted prefill from 118 to 392 tok/s.", + "evidence": "Ornith, 41 expert layers on CPU, 2026-10-20: -ub 2048 lifted prefill from 116 to 392 tok/s.", "caveat": "Too large fails: OrcaSAQ-2 needed -ub 256 at 22.7 of 24 GiB.", "doc": "docs/model-research/tuning.md#4-batch-and-ubatch" }, @@ -394,9 +397,9 @@ "rule": "Warm up before timing; run each setting twice in opposite orders; never rank on one run.", "metrics": [ {"label": "Strata 0.1.42 prompt reading, cold against warm", "before": 44, "after": 1269, "unit": "tok/s"}, - {"label": "Strata 0.1.42 decode, cold against warm round", "before": 18.3, "after": 23.5, "unit": "tok/s"}, + {"label": "Strata 0.1.42 decode, cold against warm round", "before": 13.1, "after": 23.5, "unit": "tok/s"}, {"label": "Unpruned Flash-Next GGUF, raw benchmark against streamed", "before": 40, "after": "21-23", "unit": "tok/s"}, - {"label": "tqLLM short replies against best long arm", "before": "100-110", "after": 54, "unit": "tok/s"} + {"label": "Prefill, fresh load against quality-script runs (not reproduced)", "before": "85-100", "after": 415, "unit": "tok/s"} ], "chart": "slope", "evidence": "Strata 0.1.42, 2026-10-11: the same prompt read at 44 tok/s cold and 1,269 warm.", @@ -430,7 +433,7 @@ {"label": "Flash-Next: Strata (2026-10-04)", "before": null, "after": "30-45", "unit": "tok/s"}, {"label": "Flash-Next: llama.cpp 0.7.0 with cache, streamed (2026-10-22)", "before": null, "after": "19-26", "unit": "tok/s"}, {"label": "Flash-Next Gyro-S on Strata 0.2.2, code (2026-10-22)", "before": null, "after": 144, "unit": "tok/s"}, - {"label": "Multi-session checks passed: tqLLM against stock SGLang", "before": 3, "after": 11, "unit": "of 11"} + {"label": "Multi-session checks passed: tqLLM (best) against stock SGLang", "before": 4, "after": 11, "unit": "of 11"} ], "chart": "timeline", "evidence": "Flash-Next with experts in RAM: 2.2 tok/s on llama.cpp 0.4 to 144 on Strata 0.2.2 (2026-10-22).", @@ -443,13 +446,13 @@ "rule": "Run quality and multi-session checks on every new engine or settings change before ranking speed.", "metrics": [ {"label": "tqLLM code decode against llama.cpp on the same GGUF", "before": 40.3, "after": 101.7, "unit": "tok/s"}, - {"label": "Multi-session checks passed, tqLLM against llama.cpp live", "before": 3, "after": 11, "unit": "of 11"}, + {"label": "Multi-session checks passed, tqLLM (best) against llama.cpp live", "before": 4, "after": 11, "unit": "of 11"}, {"label": "Multi-session checks passed, Carbon-X at one slot", "before": null, "after": 10, "unit": "of 11"}, {"label": "Old runs regraded, 2026-10-10", "before": null, "after": 125, "unit": "runs"}, {"label": "Verdicts changed by the regrade", "before": null, "after": 4, "unit": "verdicts"} ], "chart": "bars", - "evidence": "2026-10-22: tqLLM decoded about 2.5 times faster than llama.cpp yet passed 3 of 11 multi-session checks.", + "evidence": "2026-10-22: tqLLM decoded about 2.5 times faster than llama.cpp yet passed at best 4 of 11 multi-session checks.", "caveat": "A speed result without the probe next to it is a lead, not a pick.", "doc": "docs/model-research/tuning.md#11-the-quality-checks-we-use" } @@ -467,7 +470,7 @@ "name": "Needle in a haystack", "what": "Planted code in filler text, 16k to 250k tokens, room left for thinking", "threshold": null, - "example": "Stock SGLang found needles at 100k, 150k and 190k" + "example": "Stock SGLang needles at 100k, 150k, 190k on two of three builds" }, { "id": "digit-copy", diff --git a/site/tools/build_data.py b/site/tools/build_data.py index 673fbd2..efc7947 100644 --- a/site/tools/build_data.py +++ b/site/tools/build_data.py @@ -23,6 +23,13 @@ D = json.load(open(dash)) C = json.load(open(os.path.join(SITE, "data/curated.json"))) H = json.load(open(os.path.join(SITE, "data/history.json"))) +# Engines and tuning deep dives, distilled from docs/model-research/{engines,tuning}.md (site/data/deep.json). +DEEP = json.load(open(os.path.join(SITE, "data/deep.json"))) +REPO = "https://github.com/alexderz/agentic-model-testing/blob/main/" +for grp in ("engines", "tuning"): + for e in DEEP.get(grp, []): + if e.get("doc") and not e["doc"].startswith("https://"): + e["doc"] = REPO + e["doc"] for k, m in H.get("models_new", {}).items(): D["models"].setdefault(k, m) D["runs"] = D["runs"] + H.get("runs_new", []) @@ -126,6 +133,7 @@ def oneshots(test, key): "picks": picks, "timeline": D.get("timeline", []), "events": events, "models": models, "runs": runs, "test3": test3, "ab": ab, + "engines": DEEP.get("engines", []), "tuning": DEEP.get("tuning", []), "quality_checks": DEEP.get("quality_checks", []), "oneshots": {"orrery": oneshots(5, "orrery"), "pagoda": oneshots(6, "pagoda"), "agent-orrery": oneshots(8, "agent-orrery"), "agent-pagoda": oneshots(8, "agent-pagoda")}, } From a465a8023def860c3f3029aca7b9567371918f39 Mon Sep 17 00:00:00 2001 From: Alex Derzhi <5882439+alexderz@users.noreply.github.com> Date: Sun, 25 Oct 2026 11:15:45 -0500 Subject: [PATCH 3/4] Site data to 2026-10-25: matrix results from 2026-10-22 on (Heretic 2, Orca uncensored, Ornith 122B, Defiance), Titan GPU-unlock A/B, six graded one-shots (Flint, Ornith, Heretic 2); deep.json fixes from review; generated time from history.json --- oneshots/orrery/grades.tsv | 3 + .../frames/frame-10000.webp | Bin 0 -> 10124 bytes .../frames/frame-1500.webp | Bin 0 -> 10124 bytes .../frames/frame-5000.webp | Bin 0 -> 10124 bytes .../meta.json | 45 + .../frames/frame-10000.webp | Bin 0 -> 34162 bytes .../frames/frame-1500.webp | Bin 0 -> 33136 bytes .../frames/frame-5000.webp | Bin 0 -> 33794 bytes .../t5nm1-lcpp-flint-40b-q3kxl/meta.json | 44 + .../t5nm1-lcpp-flint-40b-q3kxl/orrery.svg | 207 +++ .../frames/frame-10000.webp | Bin 0 -> 35326 bytes .../frames/frame-1500.webp | Bin 0 -> 35052 bytes .../frames/frame-5000.webp | Bin 0 -> 35144 bytes .../t5nm1-lcpp6-ornith-122b-q4kxl/meta.json | 44 + .../t5nm1-lcpp6-ornith-122b-q4kxl/orrery.svg | 184 +++ oneshots/pagoda/grades.tsv | 3 + .../frames/frame-10000.webp | Bin 0 -> 1904 bytes .../frames/frame-1500.webp | Bin 0 -> 1904 bytes .../frames/frame-5000.webp | Bin 0 -> 1904 bytes .../meta.json | 47 + .../frames/frame-10000.webp | Bin 0 -> 15088 bytes .../frames/frame-1500.webp | Bin 0 -> 15180 bytes .../frames/frame-5000.webp | Bin 0 -> 15212 bytes .../t6nm1-lcpp-flint-40b-q3kxl/meta.json | 47 + .../t6nm1-lcpp-flint-40b-q3kxl/page.html | 250 ++++ .../frames/frame-10000.webp | Bin 0 -> 29138 bytes .../frames/frame-1500.webp | Bin 0 -> 28316 bytes .../frames/frame-5000.webp | Bin 0 -> 28220 bytes .../t6nm1-lcpp6-ornith-122b-q4kxl/meta.json | 48 + .../t6nm1-lcpp6-ornith-122b-q4kxl/page.html | 562 ++++++++ site/data/README.md | 2 +- site/data/bakeoff.json | 1141 +++++++++++++++-- site/data/deep.json | 18 +- site/data/history.json | 838 +++++++++++- .../frame-10000.webp | Bin 0 -> 10124 bytes .../frame-1500.webp | Bin 0 -> 10124 bytes .../frame-5000.webp | Bin 0 -> 10124 bytes .../frame-10000.webp | Bin 0 -> 34162 bytes .../frame-1500.webp | Bin 0 -> 33136 bytes .../frame-5000.webp | Bin 0 -> 33794 bytes .../frame-10000.webp | Bin 0 -> 35326 bytes .../frame-1500.webp | Bin 0 -> 35052 bytes .../frame-5000.webp | Bin 0 -> 35144 bytes .../frame-10000.webp | Bin 0 -> 1904 bytes .../frame-1500.webp | Bin 0 -> 1904 bytes .../frame-5000.webp | Bin 0 -> 1904 bytes .../frame-10000.webp | Bin 0 -> 15088 bytes .../frame-1500.webp | Bin 0 -> 15180 bytes .../frame-5000.webp | Bin 0 -> 15212 bytes .../frame-10000.webp | Bin 0 -> 29138 bytes .../frame-1500.webp | Bin 0 -> 28316 bytes .../frame-5000.webp | Bin 0 -> 28220 bytes .../t5nm1-lcpp-flint-40b-q3kxl/orrery.svg | 207 +++ .../t5nm1-lcpp6-ornith-122b-q4kxl/orrery.svg | 184 +++ .../t6nm1-lcpp-flint-40b-q3kxl/page.html | 250 ++++ .../t6nm1-lcpp6-ornith-122b-q4kxl/page.html | 562 ++++++++ site/tools/build_data.py | 3 +- 57 files changed, 4592 insertions(+), 97 deletions(-) create mode 100644 oneshots/orrery/mx22-flashnext-heretic2-t5-oneshot-orrery-r1/frames/frame-10000.webp create mode 100644 oneshots/orrery/mx22-flashnext-heretic2-t5-oneshot-orrery-r1/frames/frame-1500.webp create mode 100644 oneshots/orrery/mx22-flashnext-heretic2-t5-oneshot-orrery-r1/frames/frame-5000.webp create mode 100644 oneshots/orrery/mx22-flashnext-heretic2-t5-oneshot-orrery-r1/meta.json create mode 100644 oneshots/orrery/t5nm1-lcpp-flint-40b-q3kxl/frames/frame-10000.webp create mode 100644 oneshots/orrery/t5nm1-lcpp-flint-40b-q3kxl/frames/frame-1500.webp create mode 100644 oneshots/orrery/t5nm1-lcpp-flint-40b-q3kxl/frames/frame-5000.webp create mode 100644 oneshots/orrery/t5nm1-lcpp-flint-40b-q3kxl/meta.json create mode 100644 oneshots/orrery/t5nm1-lcpp-flint-40b-q3kxl/orrery.svg create mode 100644 oneshots/orrery/t5nm1-lcpp6-ornith-122b-q4kxl/frames/frame-10000.webp create mode 100644 oneshots/orrery/t5nm1-lcpp6-ornith-122b-q4kxl/frames/frame-1500.webp create mode 100644 oneshots/orrery/t5nm1-lcpp6-ornith-122b-q4kxl/frames/frame-5000.webp create mode 100644 oneshots/orrery/t5nm1-lcpp6-ornith-122b-q4kxl/meta.json create mode 100644 oneshots/orrery/t5nm1-lcpp6-ornith-122b-q4kxl/orrery.svg create mode 100644 oneshots/pagoda/mx22-flashnext-heretic2-t6-oneshot-pagoda-r1/frames/frame-10000.webp create mode 100644 oneshots/pagoda/mx22-flashnext-heretic2-t6-oneshot-pagoda-r1/frames/frame-1500.webp create mode 100644 oneshots/pagoda/mx22-flashnext-heretic2-t6-oneshot-pagoda-r1/frames/frame-5000.webp create mode 100644 oneshots/pagoda/mx22-flashnext-heretic2-t6-oneshot-pagoda-r1/meta.json create mode 100644 oneshots/pagoda/t6nm1-lcpp-flint-40b-q3kxl/frames/frame-10000.webp create mode 100644 oneshots/pagoda/t6nm1-lcpp-flint-40b-q3kxl/frames/frame-1500.webp create mode 100644 oneshots/pagoda/t6nm1-lcpp-flint-40b-q3kxl/frames/frame-5000.webp create mode 100644 oneshots/pagoda/t6nm1-lcpp-flint-40b-q3kxl/meta.json create mode 100644 oneshots/pagoda/t6nm1-lcpp-flint-40b-q3kxl/page.html create mode 100644 oneshots/pagoda/t6nm1-lcpp6-ornith-122b-q4kxl/frames/frame-10000.webp create mode 100644 oneshots/pagoda/t6nm1-lcpp6-ornith-122b-q4kxl/frames/frame-1500.webp create mode 100644 oneshots/pagoda/t6nm1-lcpp6-ornith-122b-q4kxl/frames/frame-5000.webp create mode 100644 oneshots/pagoda/t6nm1-lcpp6-ornith-122b-q4kxl/meta.json create mode 100644 oneshots/pagoda/t6nm1-lcpp6-ornith-122b-q4kxl/page.html create mode 100644 site/frames/orrery/mx22-flashnext-heretic2-t5-oneshot-orrery-r1/frame-10000.webp create mode 100644 site/frames/orrery/mx22-flashnext-heretic2-t5-oneshot-orrery-r1/frame-1500.webp create mode 100644 site/frames/orrery/mx22-flashnext-heretic2-t5-oneshot-orrery-r1/frame-5000.webp create mode 100644 site/frames/orrery/t5nm1-lcpp-flint-40b-q3kxl/frame-10000.webp create mode 100644 site/frames/orrery/t5nm1-lcpp-flint-40b-q3kxl/frame-1500.webp create mode 100644 site/frames/orrery/t5nm1-lcpp-flint-40b-q3kxl/frame-5000.webp create mode 100644 site/frames/orrery/t5nm1-lcpp6-ornith-122b-q4kxl/frame-10000.webp create mode 100644 site/frames/orrery/t5nm1-lcpp6-ornith-122b-q4kxl/frame-1500.webp create mode 100644 site/frames/orrery/t5nm1-lcpp6-ornith-122b-q4kxl/frame-5000.webp create mode 100644 site/frames/pagoda/mx22-flashnext-heretic2-t6-oneshot-pagoda-r1/frame-10000.webp create mode 100644 site/frames/pagoda/mx22-flashnext-heretic2-t6-oneshot-pagoda-r1/frame-1500.webp create mode 100644 site/frames/pagoda/mx22-flashnext-heretic2-t6-oneshot-pagoda-r1/frame-5000.webp create mode 100644 site/frames/pagoda/t6nm1-lcpp-flint-40b-q3kxl/frame-10000.webp create mode 100644 site/frames/pagoda/t6nm1-lcpp-flint-40b-q3kxl/frame-1500.webp create mode 100644 site/frames/pagoda/t6nm1-lcpp-flint-40b-q3kxl/frame-5000.webp create mode 100644 site/frames/pagoda/t6nm1-lcpp6-ornith-122b-q4kxl/frame-10000.webp create mode 100644 site/frames/pagoda/t6nm1-lcpp6-ornith-122b-q4kxl/frame-1500.webp create mode 100644 site/frames/pagoda/t6nm1-lcpp6-ornith-122b-q4kxl/frame-5000.webp create mode 100644 site/live/orrery/t5nm1-lcpp-flint-40b-q3kxl/orrery.svg create mode 100644 site/live/orrery/t5nm1-lcpp6-ornith-122b-q4kxl/orrery.svg create mode 100644 site/live/pagoda/t6nm1-lcpp-flint-40b-q3kxl/page.html create mode 100644 site/live/pagoda/t6nm1-lcpp6-ornith-122b-q4kxl/page.html diff --git a/oneshots/orrery/grades.tsv b/oneshots/orrery/grades.tsv index 12f29a0..c52af90 100644 --- a/oneshots/orrery/grades.tsv +++ b/oneshots/orrery/grades.tsv @@ -32,3 +32,6 @@ t5b2-qwen3.8-27b-vllm qwen3.8-27b-vllm 32000 length 32000 364.2 99.4 0 0 0 0 0 0 t5b3-qwen3.8-27b-vllm qwen3.8-27b-vllm 32000 length 32000 361.5 99.5 0 0 0 0 0 0 no SVG: length stop at 32,000 tokens, all thinking (five identical replies) t5b4-qwen3.8-27b-vllm qwen3.8-27b-vllm 32000 length 32000 361.4 99.4 0 0 0 0 0 0 no SVG: length stop at 32,000 tokens, all thinking (five identical replies) t5b5-qwen3.8-27b-vllm qwen3.8-27b-vllm 32000 length 32000 361.3 99.3 0 0 0 0 0 0 no SVG: length stop at 32,000 tokens, all thinking (five identical replies) +mx22-flashnext-heretic2-t5-oneshot-orrery-r1 lcpp6-flashnext-heretic2 140000 stop 33547 1513.4 22.3 0 0 0 0 0 0 Final model-supplied standalone SVG is malformed (mismatched tag, line 77). The harness also greedily concatenated two SVG blocks/prose: that packaging error was separated by extracting the final original codeblock verbatim, which still fails XML parsing. Initial valid background-only fragment is not substituted or graded. +t5nm1-lcpp6-ornith-122b-q4kxl lcpp6-ornith-122b-q4kxl 258048 stop 29646 1940.1 15.3 1 1 0 1 0 3 Parses and draws, but planets are left at the central origin instead of translated to arm ends. Only gears visibly move; outer markers stay fixed across sealed frames. Nominal period parameters are not functioning planetary orbits. Toothed wheels turn without credible meshing; no visible planetary day/night. +t5nm1-lcpp-flint-40b-q3kxl lcpp-flint-40b-q3kxl 258048 stop 30402 299.0 101.8 1 2 0 0 1 4 Renders with detached teeth and shadow halos; motion present; orbital periods 80/38/20/40/160/300s incorrectly order inner planets; no credible meshing pairs; offset black shadows rotate incorrectly. 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+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/site/live/orrery/t5nm1-lcpp6-ornith-122b-q4kxl/orrery.svg b/site/live/orrery/t5nm1-lcpp6-ornith-122b-q4kxl/orrery.svg new file mode 100644 index 0000000..7c27cdc --- /dev/null +++ b/site/live/orrery/t5nm1-lcpp6-ornith-122b-q4kxl/orrery.svg @@ -0,0 +1,184 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + BRASS ORRERY · gear ratios after real planetary periods + 1 Earth revolution = 12 s · inner gears drive each arm · terminator = day / night + + \ No newline at end of file diff --git a/site/live/pagoda/t6nm1-lcpp-flint-40b-q3kxl/page.html b/site/live/pagoda/t6nm1-lcpp-flint-40b-q3kxl/page.html new file mode 100644 index 0000000..ffcc4ad --- /dev/null +++ b/site/live/pagoda/t6nm1-lcpp-flint-40b-q3kxl/page.html @@ -0,0 +1,250 @@ + + + + + + Voxel Japanese Pagoda + + + + + + + + diff --git a/site/live/pagoda/t6nm1-lcpp6-ornith-122b-q4kxl/page.html b/site/live/pagoda/t6nm1-lcpp6-ornith-122b-q4kxl/page.html new file mode 100644 index 0000000..91e25a5 --- /dev/null +++ b/site/live/pagoda/t6nm1-lcpp6-ornith-122b-q4kxl/page.html @@ -0,0 +1,562 @@ + + + + + +Voxel Japanese Pagoda + + + + + + + diff --git a/site/tools/build_data.py b/site/tools/build_data.py index efc7947..c88b392 100644 --- a/site/tools/build_data.py +++ b/site/tools/build_data.py @@ -125,7 +125,8 @@ def oneshots(test, key): hw["weights"] = "read over the network from a NAS, ~180-280 MB/s first load" out = { "schema": "bakeoff-site/1", - "generated": D.get("generated"), + # The newest source: history.json is mined after the dashboard, so its time wins when present. + "generated": H.get("generated") or D.get("generated"), "built": __import__("datetime").datetime.now().astimezone().strftime("%Y-%m-%d %H:%M %Z"), "title": C["title"], "tagline": C["tagline"], "links": C["links"], "hardware": hw, "caveats": D.get("caveats", []), From 18160d52776c222836a70d4791e6b7d536b72f80 Mon Sep 17 00:00:00 2001 From: Alex Derzhi <5882439+alexderz@users.noreply.github.com> Date: Sun, 25 Oct 2026 11:25:04 -0500 Subject: [PATCH 4/4] Site data: review fixes (tqLLM failure prompt 289 tokens at 131072; GPU-unlock caveat gives Tiel's prefill change) --- site/data/bakeoff.json | 6 +++--- site/data/history.json | 4 ++-- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/site/data/bakeoff.json b/site/data/bakeoff.json index f1892cc..517a093 100644 --- a/site/data/bakeoff.json +++ b/site/data/bakeoff.json @@ -1,7 +1,7 @@ { "schema": "bakeoff-site/1", "generated": "2026-10-25 11:07 CDT", - "built": "2026-10-25 11:15 CDT", + "built": "2026-10-25 11:25 CDT", "title": "The Bake-off", "tagline": "Which open-weight models can do real agent work on one consumer GPU, how fast, and with what settings.", "links": { @@ -152,7 +152,7 @@ } ], "quality": "The needle check passed in every unlock phase, on and off.", - "caveat": "One off-round and two on-rounds, one card. Short decode barely moved. Tiel deep decode stayed 97.7 tok/s on seed 41. The llama.cpp version is from the same day's entry spec, not from a spec file inside the probe directory." + "caveat": "One off-round and two on-rounds, one card. Short decode barely moved. Tiel long-prompt prefill rose less (2201 to 2397 tok/s on seed 41, 1549 to 1746 on seed 42) and its deep decode stayed 97.7 tok/s on seed 41. The llama.cpp version is from the same day's entry spec, not from a spec file inside the probe directory." }, { "date": "2026-10-23", @@ -425,7 +425,7 @@ "unit": "of 11" } ], - "quality": "Tool calls and a 30k needle passed at 32k; at 262k with 8k prefill chunks it found a needle in 248k tokens, then failed on a 292-token prompt.", + "quality": "Tool calls and a 30k needle passed at 32k; at 262k with 8k prefill chunks it found a needle in 248k tokens. At 131072 context it failed on a 289-token prompt, and every later request failed until a restart.", "caveat": "Short replies with thinking off; any prompt of 256+ tokens can trigger the failure. First load took 23 minutes cold." }, { diff --git a/site/data/history.json b/site/data/history.json index 97b09f9..8793512 100644 --- a/site/data/history.json +++ b/site/data/history.json @@ -1482,7 +1482,7 @@ "unit": "of 11" } ], - "quality": "Tool calls and a 30k needle passed at 32k; at 262k with 8k prefill chunks it found a needle in 248k tokens, then failed on a 292-token prompt.", + "quality": "Tool calls and a 30k needle passed at 32k; at 262k with 8k prefill chunks it found a needle in 248k tokens. At 131072 context it failed on a 289-token prompt, and every later request failed until a restart.", "caveat": "Short replies with thinking off; any prompt of 256+ tokens can trigger the failure. First load took 23 minutes cold." }, { @@ -1958,7 +1958,7 @@ } ], "quality": "The needle check passed in every unlock phase, on and off.", - "caveat": "One off-round and two on-rounds, one card. Short decode barely moved. Tiel deep decode stayed 97.7 tok/s on seed 41. The llama.cpp version is from the same day's entry spec, not from a spec file inside the probe directory." + "caveat": "One off-round and two on-rounds, one card. Short decode barely moved. Tiel long-prompt prefill rose less (2201 to 2397 tok/s on seed 41, 1549 to 1746 on seed 42) and its deep decode stayed 97.7 tok/s on seed 41. The llama.cpp version is from the same day's entry spec, not from a spec file inside the probe directory." }, { "date": "2026-10-23",

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Offline three.js dependency packaging succeeds. Blank-page rule scores every dimension zero; no diagnostic model-code fix was scored. +t6nm1-lcpp6-ornith-122b-q4kxl lcpp6-ornith-122b-q4kxl 258048 stop 6653 523.0 15.4 1 2 1 2 2 8 Draws consistently from boxes; five tiers/upturned eaves but full spire is cropped in every frame. Platform, cherry trees, pond and torii visible. Falling petals, shadows and frame-based camera orbit present. +t6nm1-lcpp-flint-40b-q3kxl lcpp-flint-40b-q3kxl 258048 stop 15958 145.2 110.1 1 2 1 2 2 8 Draws consistently from boxes; five tiers but complete spire cropped in all three frames; platform pond cherry tree and partly occluded torii visible; petals shadows and frame-based camera orbit present. 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true, + "importmap": true, + "umd_three": false, + "external_urls": [ + "https://cdn.jsdelivr.net/npm/three@0.186.1/build/three.module.js", + "https://cdn.jsdelivr.net/npm/three@0.186.1/examples/jsm/" + ], + "boxes": 2, + "instanced": false, + "prose_chars_outside_html": 11 + }, + "status": "ok", + "test": "test6-pagoda", + "timings": { + "cache_n": 0, + "prompt_n": 154, + "prompt_ms": 2178.123, + "prompt_per_token_ms": 14.143655844155845, + "prompt_per_second": 70.70307783352915, + "predicted_n": 6653, + "predicted_ms": 432826.366, + "predicted_per_token_ms": 65.06710252555622, + "predicted_per_second": 15.368749509127639 + }, + "tok_s": 15.4, + "usage": { + "completion_tokens": 6653, + "prompt_tokens": 154, + "total_tokens": 6807, + "prompt_tokens_details": { + "cached_tokens": 0 + } + }, + "wall_s": 523.0 +} diff --git a/oneshots/pagoda/t6nm1-lcpp6-ornith-122b-q4kxl/page.html b/oneshots/pagoda/t6nm1-lcpp6-ornith-122b-q4kxl/page.html new file mode 100644 index 0000000..91e25a5 --- /dev/null +++ b/oneshots/pagoda/t6nm1-lcpp6-ornith-122b-q4kxl/page.html @@ -0,0 +1,562 @@ + + + + + +Voxel Japanese Pagoda + + + + + + + diff --git a/site/data/README.md b/site/data/README.md index d902395..767aec4 100644 --- a/site/data/README.md +++ b/site/data/README.md @@ -79,7 +79,7 @@ Fields marked *opt* may be missing or `null`. Types are what the page expects; i | Field | Type | Meaning | | --- | --- | --- | | `schema` | str | `bakeoff-site/1`. | -| `generated` | str, opt | When the source dashboard data was generated, shown under the hero stats. | +| `generated` | str, opt | When the newest source data was taken: history.json's `generated` when set, else the dashboard's. Shown under the hero stats. | | `built` | str, opt | When this file was built, shown next to `generated` with the newest run and finding dates. | | `title`, `tagline` | str | Hero title and one-line pitch (from `curated.json`). | | `links` | object | `repo`, `cards`, `method`, `conclusions`, `log`: repository URLs for the footer. Extra keys are shown too. | diff --git a/site/data/bakeoff.json b/site/data/bakeoff.json index 6689dc8..f1892cc 100644 --- a/site/data/bakeoff.json +++ b/site/data/bakeoff.json @@ -1,7 +1,7 @@ { "schema": "bakeoff-site/1", - "generated": "2026-10-15 14:36 CDT", - "built": "2026-10-22 20:40 CDT", + "generated": "2026-10-25 11:07 CDT", + "built": "2026-10-25 11:15 CDT", "title": "The Bake-off", "tagline": "Which open-weight models can do real agent work on one consumer GPU, how fast, and with what settings.", "links": { @@ -101,6 +101,187 @@ } ], "findings": [ + { + "date": "2026-10-24", + "title": "GPU unlock raises long-prompt prefill by 43%", + "kind": "engine", + "summary": "On Titan, vLLM Qwen3.8-27B was measured with GPU unlock off, then on, then on again. A 140826-token prompt prefilled at 736 tok/s off. Unlock rounds were 1053 and 1056 tok/s on seed 41, and 1053 and 1055 tok/s on seed 42. The probe summary calls that a 43.3% and 43.2% gain. Short code decode moved from 126.4 to 127.9 and 127.5 tok/s. The same check on llama.cpp 0.7 with Tiel left short code decode at 149.1, 148.6 and 148.8 tok/s.", + "settings": null, + "metrics": [ + { + "label": "vLLM prefill, 140826 tokens, seed 41", + "before": 736, + "after": 1053, + "unit": "tok/s" + }, + { + "label": "vLLM prefill, seed 41, unlock round 2", + "before": 736, + "after": 1056, + "unit": "tok/s" + }, + { + "label": "vLLM prefill, seed 42, unlock round 2", + "before": 736, + "after": 1055, + "unit": "tok/s" + }, + { + "label": "vLLM decode, 400-token code prompt, round 1", + "before": 126.4, + "after": 127.9, + "unit": "tok/s" + }, + { + "label": "vLLM deep decode, seed 41", + "before": 85.3, + "after": 94.5, + "unit": "tok/s" + }, + { + "label": "Tiel decode, 400-token code prompt, round 1", + "before": 149.1, + "after": 148.6, + "unit": "tok/s" + }, + { + "label": "Tiel prefill, 141004 tokens, seed 41, round 1", + "before": 2201, + "after": 2397, + "unit": "tok/s" + } + ], + "quality": "The needle check passed in every unlock phase, on and off.", + "caveat": "One off-round and two on-rounds, one card. Short decode barely moved. Tiel deep decode stayed 97.7 tok/s on seed 41. The llama.cpp version is from the same day's entry spec, not from a spec file inside the probe directory." + }, + { + "date": "2026-10-23", + "title": "Flash-Next Heretic 2 passes the coding tests and fails both one-shots", + "kind": "model", + "summary": "Test 1 scored 5 of 5 checks, 36 tests and 0 failures at 18.2 tok/s. Test 2 built, initialized, exposed 7 tools, called a tool, and passed 34 tests with 0 failures. Three test-4 tickets passed, with 4, 13 and 11 hidden checks. The orrery one-shot scored 0 of 10 because the SVG did not parse. The pagoda one-shot scored 0 of 10 because every sealed frame was only the clear color.", + "settings": null, + "metrics": [ + { + "label": "Test 1 checks", + "before": null, + "after": 5, + "unit": "of 5" + }, + { + "label": "Test 2 tests passed", + "before": null, + "after": 34, + "unit": "tests" + }, + { + "label": "Orrery score", + "before": null, + "after": 0, + "unit": "of 10" + }, + { + "label": "Pagoda score", + "before": null, + "after": 0, + "unit": "of 10" + } + ], + "quality": "Code tests passed. One-shots did not render a usable scene.", + "caveat": "One run each. The trust-variant test 2 exposed 4 tools and passed 28 tests; that is a different case, not a failure of the 7-tool run." + }, + { + "date": "2026-10-23", + "title": "Ornith 122B and Defiance pass tests 1 and 2", + "kind": "model", + "summary": "Ornith UD-Q4_K_XL scored 5 of 5 CLI checks and 48 tests at 13.4 tok/s, then a 7-tool server with 43 tests and 0 failures at 12.9 tok/s. Defiance IQ4_XS at 196608 context scored 5 of 5 checks and 82 tests at 32.5 tok/s, then 7 tools, 46 tests and 0 failures at 22.6 tok/s.", + "settings": null, + "metrics": [ + { + "label": "Ornith test 1 decode", + "before": null, + "after": 13.4, + "unit": "tok/s" + }, + { + "label": "Ornith test 2 tests passed", + "before": null, + "after": 43, + "unit": "tests" + }, + { + "label": "Defiance test 1 decode", + "before": null, + "after": 32.5, + "unit": "tok/s" + }, + { + "label": "Defiance test 2 tests passed", + "before": null, + "after": 46, + "unit": "tests" + } + ], + "quality": "Both protocol suites passed. No new one-shot grade for either model in this window.", + "caveat": "One run each. Ornith has no spec snapshot, so context and KV are unknown. Defiance one-shots finished later and are not graded." + }, + { + "date": "2026-10-23", + "title": "Orca uncensored passes test 4; its trust tests did not compile", + "kind": "model", + "summary": "Test 1 scored 5 of 5 checks and 41 tests. The plain test 2 built, initialized, exposed 9 tools and passed 42 tests. Three test-4 tickets passed (4, 13 and 11 hidden checks). The trust run also built, initialized and called tools (9 tools), but cargo test exited 101 while compiling. The parsed 0 and 0 counts are not a suite pass.", + "settings": null, + "metrics": [ + { + "label": "Test 1 tests passed", + "before": null, + "after": 41, + "unit": "tests" + }, + { + "label": "Plain test 2 tests passed", + "before": null, + "after": 42, + "unit": "tests" + }, + { + "label": "Trust-run cargo test exit", + "before": null, + "after": 101, + "unit": "exit code" + } + ], + "quality": "Coding tickets passed. Trust-run test quality is incomplete, not a pass.", + "caveat": "The plain test-2 grade is in the prerequisite regrade file, not the main grade table. Test 3 for this model is not in the canonical grade table." + }, + { + "date": "2026-10-23", + "title": "Heretic 2 judges a known-good server right and its own server wrong", + "kind": "test", + "summary": "On the known-good server, MCP and REST were both 14 of 14 and the judgement was right (rubric 12). On its own server, REST was 14 of 14 and MCP 13 of 14. The fixed server builds, initializes, exposes 7 tools and passes 34 tests, but the missing fact is temperature and the final judgement is wrong (rubric 9).", + "settings": null, + "metrics": [ + { + "label": "Known-good rubric", + "before": null, + "after": 12, + "unit": "of 12" + }, + { + "label": "Own-server rubric", + "before": null, + "after": 9, + "unit": "of 12" + }, + { + "label": "Own-server MCP facts", + "before": null, + "after": 13, + "unit": "of 14" + } + ], + "quality": "Fact match was high. The own-server trust decision was wrong.", + "caveat": "One run of each flavor. Minutes use the run duration without model-load time." + }, { "date": "2026-10-22", "title": "An expert cache makes Flash-Next 1.5x faster on one 3090", @@ -991,6 +1172,34 @@ "title": "Expert cache, Strata 0.2.2, Flint and tqLLM", "what": "Flash-Next sped up on llama.cpp and Strata; a new MoE and a new engine were tried.", "why": "Make the 125B model usable on one card." + }, + { + "date": "2026-10-23", + "era": "Models", + "title": "Ornith 122B and Defiance pass tests 1 and 2", + "what": "Ornith at 13.4 tok/s and Defiance at 32.5 tok/s both cleared the CLI checks and the Rust server tests.", + "why": "Do the new large and uncensored quants finish a real task?" + }, + { + "date": "2026-10-23", + "era": "Flash-Next", + "title": "Heretic 2 passes the code tests", + "what": "Five CLI checks, a 7-tool server with 34 passing tests, and three maintenance tickets. Both one-shots scored 0.", + "why": "An abliterated Flash-Next quant had not been graded on this matrix." + }, + { + "date": "2026-10-23", + "era": "Harness", + "title": "A trust run whose tests did not compile", + "what": "Orca uncensored passed test 1, plain test 2, and three test-4 tickets. Its trust run's tests failed to compile, so 0 and 0 is not a pass.", + "why": "A green protocol line can hide a broken test build." + }, + { + "date": "2026-10-24", + "era": "Engines", + "title": "GPU unlock speeds long prefill", + "what": "On Titan, vLLM Qwen3.8-27B long-prompt prefill rose from 736 to about 1050 tok/s. Short decode stayed near 127 tok/s.", + "why": "Does unlocking the GPU clock help a model that already fits on the card?" } ], "events": [], @@ -2482,6 +2691,38 @@ "label": "no", "status": "none" } + }, + "lcpp6-ornith-122b-q4kxl": { + "id": "lcpp6-ornith-122b-q4kxl", + "family": "Ornith 1.5", + "label": "Ornith 1.5 122B-A10B UD-Q4_K_XL · llama.cpp 0.7, experts partly in RAM", + "base": "ornith-ai/Ornith-1.5-122B", + "arch": "MoE 122B-A10B", + "engine": "llama.cpp 0.7", + "quant": "UD-Q4_K_XL", + "kind": "tune", + "uncensored": false, + "note": "MIT. Fine-tune of Qwen3.5-122B-A10B. Thinking on. An offload sweep on 2026-10-20 with 41 expert layers in RAM and 2048-token batches recorded 16.1 tok/s decode and 392.1 tok/s prefill. The agent runs above are slower; context and KV for those runs were not in a spec snapshot.", + "vision": { + "label": "not surveyed", + "status": null + } + }, + "lcpp6-q38-defiance-192k-author": { + "id": "lcpp6-q38-defiance-192k-author", + "family": "Qwen3.8 27B", + "label": "Defiance IQ4_XS · llama.cpp 0.7, 196608 context, q8 KV, author sampler", + "base": "Qwen/Qwen3.8-27B", + "arch": "dense 27B", + "engine": "llama.cpp 0.7", + "quant": "IQ4_XS", + "kind": "uncensored-tune", + "uncensored": true, + "note": "Uncensored tune. Author sampler, no draft weights. This run served 196608 tokens with q8 KV.", + "vision": { + "label": "not surveyed", + "status": null + } } }, "runs": [ @@ -7428,80 +7669,464 @@ "loc": 9497, "errors_per_kloc": 0.4 } - } - ], - "test3": [ - { - "case": "t3g-qwen3.8-27b-vllm", - "model": "qwen3.8-27b-vllm", - "flavor": "3G", - "mcp_facts": "14/14", - "api_facts": "14/14", - "judgement_right": true, - "rubric": 12, - "note": "One probe session, nine numbered calls with exact arguments and fields, errors reported verbatim; built REST ground truth first, then checked the probe against REST and the shim wire log (\"the probe is an LLM and could have hallucinated\"); trusted the known-good server after a full source audit. 15 min, 49.5 tok/s, 2 compactions. Read /t3/shim.jsonl and /opt/t3/shim.py (harness visible to the agent).", - "tps": 49.5, - "minutes": 15, - "finished": "2026-10-07 19:15" - }, - { - "case": "t3o-qwen3.8-27b-vllm", - "model": "qwen3.8-27b-vllm", - "flavor": "3O", - "mcp_facts": "14/14", - "api_facts": "14/14", - "judgement_right": true, - "rubric": 12, - "note": "Own server (5 tools) answered every fact it could correctly but had no services tool; built REST ground truth, found the gap, added ha_list_services, extended tests to 79, rebuilt; fixed server grades builds, 6 tools, 80 tests. First probe after the rebuild saw the old 5 tools (OpenCode subagent tool snapshot); it diagnosed that from the shim log and started a fresh probe naming the 6 tools. Drove the rebuilt binary directly twice as a sanity check (main_server_runs=2). 13 min, 51.2 tok/s.", - "tps": 51.2, - "minutes": 13, - "finished": "2026-10-07 19:47" }, { - "case": "t3g-strata-flash-next-p2", - "model": "strata-flash-next-p2", - "flavor": "3G", - "mcp_facts": "14/14", - "api_facts": "14/14", - "judgement_right": true, - "rubric": 12, - "note": "One probe session with eight numbered calls naming exact arguments and fields, \"quote the error text exactly and continue\"; built REST ground truth with jq first and diffed every fact. Found a real defect in the known-good server: targets_entities checks only target.entity_id, but all 177 targeted services in this HA publish target.entity, so every service reported false. Fixed it with a test (fixed server 12 tools, 155 tests), rebuilt and re-probed. Drove the binary directly four times (main_server_runs=4). 21 min, 20.0 tok/s on two-slot Strata.", - "tps": 20.0, - "minutes": 21, - "finished": "2026-10-07 20:29" + "case": "mx22-orcarouter-fn-uncensored-t1-cli-r1", + "model": "lcpp6-orcarouter-fn-uncensored", + "test": 1, + "agent": "OpenCode", + "checks": 5, + "tests_pass": 41, + "tests_fail": 0, + "subcmds": 10, + "tps": 19.9, + "minutes": 29, + "compactions": null, + "ctx": 262144, + "kv": "q8_0", + "verdict": "pass", + "finished": "2026-10-22 21:40", + "struggle": { + "compiles": 0, + "failed_compiles": 0, + "rust_errors": 0, + "loc": 861, + "errors_per_kloc": 0.0 + } }, { - "case": "t3o-strata-flash-next-p2", - "model": "strata-flash-next-p2", - "flavor": "3O", - "mcp_facts": "14/14", - "api_facts": "14/14", - "judgement_right": true, - "rubric": 12, - "note": "Three probe sessions: an eight-question brief with method notes (paginate, cross-check counts, quote errors), a verbatim cross-check through resources and tools, and a re-check after the fix. Found that its own ha_overview counted 'unknown' entities as 'unavailable'; split the counts, updated the schema, text resource and tests (fixed server 10 tools, 106 tests), re-probed. 17 min, 18.0 tok/s.", - "tps": 18.1, - "minutes": 17, - "finished": "2026-10-07 20:45" + "case": "mx22-orcarouter-fn-uncensored-t2t-rust-mcp-r1", + "model": "lcpp6-orcarouter-fn-uncensored", + "test": 2, + "agent": "OpenCode", + "checks": null, + "tests_pass": null, + "tests_fail": null, + "subcmds": null, + "tps": 13.9, + "minutes": 166, + "compactions": null, + "ctx": 262144, + "kv": "q8_0", + "verdict": "partial", + "finished": "2026-10-23 00:28", + "struggle": { + "compiles": 17, + "failed_compiles": 14, + "rust_errors": 60, + "loc": 2340, + "errors_per_kloc": 25.6 + } }, { - "case": "t3g-orcarouter-lcpp6", + "case": "mx22-orcarouter-fn-uncensored-setupretry1-t4-bugfix-targets-r1", "model": "lcpp6-orcarouter-fn-uncensored", - "flavor": "3G", - "mcp_facts": "14/14", - "api_facts": "14/14", - "judgement_right": true, - "rubric": 12, - "note": "One probe session with the eight questions in plain terms (\"entities, of any kind, whose state is unavailable\"), asking for raw tool output, the tool and arguments used, and failures said explicitly; the probe answered in 10 calls and cross-checked counts itself. Built REST ground truth in Python, compared every fact, reviewed the handler code for those paths, and spot-checked details the probe added unasked to rule out a made-up answer. Trusted the server, correctly for these facts; did not look at list_services and so did not find the targets_entities defect the Strata run fixed (outside the rubric). Leanest run so far: 12 min, 6.1k output tokens, 8.4 tok/s.", - "tps": 8.4, + "test": 4, + "agent": "OpenCode", + "checks": 4, + "tests_pass": 156, + "tests_fail": 0, + "subcmds": null, + "tps": 17.2, "minutes": 12, - "finished": "2026-10-07 21:04" + "compactions": 0, + "ctx": 262144, + "kv": "q8_0", + "verdict": "pass", + "finished": "2026-10-23 00:41", + "struggle": { + "compiles": 5, + "failed_compiles": 2, + "rust_errors": 2, + "loc": 9483, + "errors_per_kloc": 0.3 + } }, { - "case": "t3o-orcarouter-lcpp6", + "case": "mx22-orcarouter-fn-uncensored-setupretry1-t4-config-timeouts-r1", "model": "lcpp6-orcarouter-fn-uncensored", - "flavor": "3O", - "mcp_facts": "14/14", - "api_facts": "14/14", + "test": 4, + "agent": "OpenCode", + "checks": 13, + "tests_pass": 170, + "tests_fail": 0, + "subcmds": null, + "tps": 17.4, + "minutes": 28, + "compactions": 0, + "ctx": 262144, + "kv": "q8_0", + "verdict": "pass", + "finished": "2026-10-23 01:10", + "struggle": { + "compiles": 9, + "failed_compiles": 5, + "rust_errors": 9, + "loc": 9888, + "errors_per_kloc": 0.9 + } + }, + { + "case": "mx22-orcarouter-fn-uncensored-setupretry1-t4-feature-filter-r1", + "model": "lcpp6-orcarouter-fn-uncensored", + "test": 4, + "agent": "OpenCode", + "checks": 11, + "tests_pass": 159, + "tests_fail": 0, + "subcmds": null, + "tps": 14.9, + "minutes": 12, + "compactions": 0, + "ctx": 262144, + "kv": "q8_0", + "verdict": "pass", + "finished": "2026-10-23 01:23", + "struggle": { + "compiles": 2, + "failed_compiles": 1, + "rust_errors": 1, + "loc": 9613, + "errors_per_kloc": 0.1 + } + }, + { + "case": "mx22-flashnext-heretic2-t1-cli-r1", + "model": "lcpp6-flashnext-heretic2", + "test": 1, + "agent": "OpenCode", + "checks": 5, + "tests_pass": 36, + "tests_fail": 0, + "subcmds": 11, + "tps": 18.2, + "minutes": 86, + "compactions": null, + "ctx": 262144, + "kv": "q8_0", + "verdict": "pass", + "finished": "2026-10-23 02:52", + "struggle": { + "compiles": 0, + "failed_compiles": 0, + "rust_errors": 0, + "loc": 1436, + "errors_per_kloc": 0.7 + } + }, + { + "case": "mx22-flashnext-heretic2-t2-rust-mcp-r1", + "model": "lcpp6-flashnext-heretic2", + "test": 2, + "agent": "OpenCode", + "checks": null, + "tests_pass": 34, + "tests_fail": 0, + "subcmds": null, + "tps": 17.1, + "minutes": 91, + "compactions": null, + "ctx": 262144, + "kv": "q8_0", + "verdict": "pass", + "finished": "2026-10-23 04:28", + "struggle": { + "compiles": 23, + "failed_compiles": 9, + "rust_errors": 33, + "loc": 1752, + "errors_per_kloc": 18.8 + } + }, + { + "case": "mx22-flashnext-heretic2-t4-bugfix-targets-r1", + "model": "lcpp6-flashnext-heretic2", + "test": 4, + "agent": "OpenCode", + "checks": 4, + "tests_pass": 156, + "tests_fail": 0, + "subcmds": null, + "tps": 13.9, + "minutes": 10, + "compactions": 0, + "ctx": 262144, + "kv": "q8_0", + "verdict": "pass", + "finished": "2026-10-23 05:27", + "struggle": { + "compiles": 4, + "failed_compiles": 1, + "rust_errors": 1, + "loc": 9440, + "errors_per_kloc": 0.1 + } + }, + { + "case": "mx22-flashnext-heretic2-t4-config-timeouts-r1", + "model": "lcpp6-flashnext-heretic2", + "test": 4, + "agent": "OpenCode", + "checks": 13, + "tests_pass": 166, + "tests_fail": 0, + "subcmds": null, + "tps": 17.2, + "minutes": 32, + "compactions": 0, + "ctx": 262144, + "kv": "q8_0", + "verdict": "pass", + "finished": "2026-10-23 06:00", + "struggle": { + "compiles": 3, + "failed_compiles": 1, + "rust_errors": 1, + "loc": 9748, + "errors_per_kloc": 0.1 + } + }, + { + "case": "mx22-flashnext-heretic2-t4-feature-filter-r1", + "model": "lcpp6-flashnext-heretic2", + "test": 4, + "agent": "OpenCode", + "checks": 11, + "tests_pass": 159, + "tests_fail": 0, + "subcmds": null, + "tps": 12.0, + "minutes": 15, + "compactions": 0, + "ctx": 262144, + "kv": "q8_0", + "verdict": "pass", + "finished": "2026-10-23 06:15", + "struggle": { + "compiles": 3, + "failed_compiles": 1, + "rust_errors": 1, + "loc": 9535, + "errors_per_kloc": 0.1 + } + }, + { + "case": "mx22-flashnext-heretic2-t2t-rust-mcp-r1", + "model": "lcpp6-flashnext-heretic2", + "test": 2, + "agent": "OpenCode", + "checks": null, + "tests_pass": 28, + "tests_fail": 0, + "subcmds": null, + "tps": 19.8, + "minutes": 51, + "compactions": null, + "ctx": 262144, + "kv": "q8_0", + "verdict": "pass", + "finished": "2026-10-23 07:10", + "struggle": { + "compiles": 13, + "failed_compiles": 4, + "rust_errors": 10, + "loc": 1818, + "errors_per_kloc": 5.5 + } + }, + { + "case": "mx22-orcarouter-fn-uncensored-t2setupretry1-t2-rust-mcp-r1", + "model": "lcpp6-orcarouter-fn-uncensored", + "test": 2, + "agent": "OpenCode", + "checks": null, + "tests_pass": 42, + "tests_fail": 0, + "subcmds": null, + "tps": 14.1, + "minutes": 152, + "compactions": null, + "ctx": 262144, + "kv": "q8_0", + "verdict": "pass", + "finished": "2026-10-23 09:44", + "struggle": { + "compiles": 44, + "failed_compiles": 20, + "rust_errors": 53, + "loc": 3337, + "errors_per_kloc": 15.9 + } + }, + { + "case": "mx22-ornith-122b-q4kxl-t1-cli-r1", + "model": "lcpp6-ornith-122b-q4kxl", + "test": 1, + "agent": "OpenCode", + "checks": 5, + "tests_pass": 48, + "tests_fail": 0, + "subcmds": 9, + "tps": 13.4, + "minutes": 90, + "compactions": null, + "ctx": null, + "kv": null, + "verdict": "pass", + "finished": "2026-10-23 13:49", + "struggle": { + "compiles": 0, + "failed_compiles": 0, + "rust_errors": 0, + "loc": 1502, + "errors_per_kloc": 0.0 + } + }, + { + "case": "mx22-ornith-122b-q4kxl-t2-rust-mcp-r1", + "model": "lcpp6-ornith-122b-q4kxl", + "test": 2, + "agent": "OpenCode", + "checks": null, + "tests_pass": 43, + "tests_fail": 0, + "subcmds": null, + "tps": 12.9, + "minutes": 82, + "compactions": null, + "ctx": null, + "kv": null, + "verdict": "pass", + "finished": "2026-10-23 18:18", + "struggle": { + "compiles": 14, + "failed_compiles": 6, + "rust_errors": 12, + "loc": 1648, + "errors_per_kloc": 7.3 + } + }, + { + "case": "mx22-q38-defiance-192k-author-t1-cli-r1", + "model": "lcpp6-q38-defiance-192k-author", + "test": 1, + "agent": "OpenCode", + "checks": 5, + "tests_pass": 82, + "tests_fail": 0, + "subcmds": 13, + "tps": 32.5, + "minutes": 34, + "compactions": null, + "ctx": 196608, + "kv": "q8_0", + "verdict": "pass", + "finished": "2026-10-23 18:53", + "struggle": { + "compiles": 0, + "failed_compiles": 0, + "rust_errors": 0, + "loc": 1944, + "errors_per_kloc": 0.0 + } + }, + { + "case": "mx22-q38-defiance-192k-author-t2-rust-mcp-r1", + "model": "lcpp6-q38-defiance-192k-author", + "test": 2, + "agent": "OpenCode", + "checks": null, + "tests_pass": 46, + "tests_fail": 0, + "subcmds": null, + "tps": 22.6, + "minutes": 65, + "compactions": null, + "ctx": 196608, + "kv": "q8_0", + "verdict": "pass", + "finished": "2026-10-23 23:00", + "struggle": { + "compiles": 27, + "failed_compiles": 6, + "rust_errors": 15, + "loc": 2415, + "errors_per_kloc": 6.6 + } + } + ], + "test3": [ + { + "case": "t3g-qwen3.8-27b-vllm", + "model": "qwen3.8-27b-vllm", + "flavor": "3G", + "mcp_facts": "14/14", + "api_facts": "14/14", + "judgement_right": true, + "rubric": 12, + "note": "One probe session, nine numbered calls with exact arguments and fields, errors reported verbatim; built REST ground truth first, then checked the probe against REST and the shim wire log (\"the probe is an LLM and could have hallucinated\"); trusted the known-good server after a full source audit. 15 min, 49.5 tok/s, 2 compactions. Read /t3/shim.jsonl and /opt/t3/shim.py (harness visible to the agent).", + "tps": 49.5, + "minutes": 15, + "finished": "2026-10-07 19:15" + }, + { + "case": "t3o-qwen3.8-27b-vllm", + "model": "qwen3.8-27b-vllm", + "flavor": "3O", + "mcp_facts": "14/14", + "api_facts": "14/14", + "judgement_right": true, + "rubric": 12, + "note": "Own server (5 tools) answered every fact it could correctly but had no services tool; built REST ground truth, found the gap, added ha_list_services, extended tests to 79, rebuilt; fixed server grades builds, 6 tools, 80 tests. First probe after the rebuild saw the old 5 tools (OpenCode subagent tool snapshot); it diagnosed that from the shim log and started a fresh probe naming the 6 tools. Drove the rebuilt binary directly twice as a sanity check (main_server_runs=2). 13 min, 51.2 tok/s.", + "tps": 51.2, + "minutes": 13, + "finished": "2026-10-07 19:47" + }, + { + "case": "t3g-strata-flash-next-p2", + "model": "strata-flash-next-p2", + "flavor": "3G", + "mcp_facts": "14/14", + "api_facts": "14/14", + "judgement_right": true, + "rubric": 12, + "note": "One probe session with eight numbered calls naming exact arguments and fields, \"quote the error text exactly and continue\"; built REST ground truth with jq first and diffed every fact. Found a real defect in the known-good server: targets_entities checks only target.entity_id, but all 177 targeted services in this HA publish target.entity, so every service reported false. Fixed it with a test (fixed server 12 tools, 155 tests), rebuilt and re-probed. Drove the binary directly four times (main_server_runs=4). 21 min, 20.0 tok/s on two-slot Strata.", + "tps": 20.0, + "minutes": 21, + "finished": "2026-10-07 20:29" + }, + { + "case": "t3o-strata-flash-next-p2", + "model": "strata-flash-next-p2", + "flavor": "3O", + "mcp_facts": "14/14", + "api_facts": "14/14", + "judgement_right": true, + "rubric": 12, + "note": "Three probe sessions: an eight-question brief with method notes (paginate, cross-check counts, quote errors), a verbatim cross-check through resources and tools, and a re-check after the fix. Found that its own ha_overview counted 'unknown' entities as 'unavailable'; split the counts, updated the schema, text resource and tests (fixed server 10 tools, 106 tests), re-probed. 17 min, 18.0 tok/s.", + "tps": 18.1, + "minutes": 17, + "finished": "2026-10-07 20:45" + }, + { + "case": "t3g-orcarouter-lcpp6", + "model": "lcpp6-orcarouter-fn-uncensored", + "flavor": "3G", + "mcp_facts": "14/14", + "api_facts": "14/14", + "judgement_right": true, + "rubric": 12, + "note": "One probe session with the eight questions in plain terms (\"entities, of any kind, whose state is unavailable\"), asking for raw tool output, the tool and arguments used, and failures said explicitly; the probe answered in 10 calls and cross-checked counts itself. Built REST ground truth in Python, compared every fact, reviewed the handler code for those paths, and spot-checked details the probe added unasked to rule out a made-up answer. Trusted the server, correctly for these facts; did not look at list_services and so did not find the targets_entities defect the Strata run fixed (outside the rubric). Leanest run so far: 12 min, 6.1k output tokens, 8.4 tok/s.", + "tps": 8.4, + "minutes": 12, + "finished": "2026-10-07 21:04" + }, + { + "case": "t3o-orcarouter-lcpp6", + "model": "lcpp6-orcarouter-fn-uncensored", + "flavor": "3O", + "mcp_facts": "14/14", + "api_facts": "14/14", "judgement_right": true, "rubric": 12, "note": "First probe: nine plain questions asking for exact raw tool output or the exact error and the tool used. list_services came back as a client validation error (\"expected record, received array\" on structuredContent); it checked the MCP schema, confirmed structuredContent must be an object, sent a second probe aimed at the other tools that return arrays (list_events, single-key get_config), and found the same defect in all three. Wrapped them in objects, added a guard in mcp.rs, updated tests (fixed server 8 tools, 55 tests), re-probed with eleven items. REST ground truth for every fact. 46 min, 5.8 tok/s (40 MoE layers on CPU).", @@ -8093,6 +8718,32 @@ "tps": 7.1, "minutes": 9, "finished": "2026-10-17 20:13" + }, + { + "case": "mx22-flashnext-heretic2-setupretry1-t3g-known-good-mcp-r1", + "model": "lcpp6-flashnext-heretic2", + "flavor": "3G", + "mcp_facts": "14/14", + "api_facts": "14/14", + "judgement_right": true, + "rubric": 12, + "note": "Known-good server. One probe, 12 calls. REST and MCP both 14 of 14. It left the server unchanged and the judgement is right. Rubric 12.", + "tps": 9.5, + "minutes": 15, + "finished": "2026-10-23 11:39" + }, + { + "case": "mx22-flashnext-heretic2-setupretry1-t3o-own-mcp-r1", + "model": "lcpp6-flashnext-heretic2", + "flavor": "3O", + "mcp_facts": "13/14", + "api_facts": "14/14", + "judgement_right": false, + "rubric": 9, + "note": "Own server. MCP 13 of 14, REST 14 of 14. The fixed server builds, initializes, exposes 7 tools and passes 34 tests, but temperature was still missed and the final judgement is wrong. Rubric 9.", + "tps": 11.8, + "minutes": 32, + "finished": "2026-10-23 12:11" } ], "ab": [ @@ -8455,6 +9106,186 @@ "prefill": 2539.8, "vram": 23862, "error": "" + }, + { + "model": "qwen3.8-27b-vllm", + "engine": "vLLM (HyperQwen)", + "variant": "Titan, GPU unlock off, 400-token code prompt", + "decode": 126.4, + "quote": null, + "prefill": null, + "vram": null, + "error": "" + }, + { + "model": "qwen3.8-27b-vllm", + "engine": "vLLM (HyperQwen)", + "variant": "Titan, GPU unlock off, 140826-token prompt, seed 41", + "decode": 85.3, + "quote": null, + "prefill": 736, + "vram": null, + "error": "" + }, + { + "model": "qwen3.8-27b-vllm", + "engine": "vLLM (HyperQwen)", + "variant": "Titan, GPU unlock off, 140826-token prompt, seed 42", + "decode": 79.1, + "quote": null, + "prefill": 736, + "vram": null, + "error": "" + }, + { + "model": "qwen3.8-27b-vllm", + "engine": "vLLM (HyperQwen)", + "variant": "Titan, GPU unlock on, round 1, 400-token code prompt", + "decode": 127.9, + "quote": null, + "prefill": null, + "vram": null, + "error": "" + }, + { + "model": "qwen3.8-27b-vllm", + "engine": "vLLM (HyperQwen)", + "variant": "Titan, GPU unlock on, round 1, 140826-token prompt, seed 41", + "decode": 94.5, + "quote": null, + "prefill": 1053, + "vram": null, + "error": "" + }, + { + "model": "qwen3.8-27b-vllm", + "engine": "vLLM (HyperQwen)", + "variant": "Titan, GPU unlock on, round 1, 140826-token prompt, seed 42", + "decode": 87.9, + "quote": null, + "prefill": 1053, + "vram": null, + "error": "" + }, + { + "model": "qwen3.8-27b-vllm", + "engine": "vLLM (HyperQwen)", + "variant": "Titan, GPU unlock on, round 2, 400-token code prompt", + "decode": 127.5, + "quote": null, + "prefill": null, + "vram": null, + "error": "" + }, + { + "model": "qwen3.8-27b-vllm", + "engine": "vLLM (HyperQwen)", + "variant": "Titan, GPU unlock on, round 2, 140826-token prompt, seed 41", + "decode": 94.4, + "quote": null, + "prefill": 1056, + "vram": null, + "error": "" + }, + { + "model": "qwen3.8-27b-vllm", + "engine": "vLLM (HyperQwen)", + "variant": "Titan, GPU unlock on, round 2, 140826-token prompt, seed 42", + "decode": 87.7, + "quote": null, + "prefill": 1055, + "vram": null, + "error": "" + }, + { + "model": "lcpp6-tiel-coder-35b-t06", + "engine": "llama.cpp 0.7", + "variant": "Titan, GPU unlock off, 400-token code prompt", + "decode": 149.1, + "quote": null, + "prefill": null, + "vram": null, + "error": "" + }, + { + "model": "lcpp6-tiel-coder-35b-t06", + "engine": "llama.cpp 0.7", + "variant": "Titan, GPU unlock off, 141004-token prompt, seed 41", + "decode": 97.7, + "quote": null, + "prefill": 2201, + "vram": null, + "error": "" + }, + { + "model": "lcpp6-tiel-coder-35b-t06", + "engine": "llama.cpp 0.7", + "variant": "Titan, GPU unlock off, 141004-token prompt, seed 42", + "decode": 97.6, + "quote": null, + "prefill": 1549, + "vram": null, + "error": "" + }, + { + "model": "lcpp6-tiel-coder-35b-t06", + "engine": "llama.cpp 0.7", + "variant": "Titan, GPU unlock on, round 1, 400-token code prompt", + "decode": 148.6, + "quote": null, + "prefill": null, + "vram": null, + "error": "" + }, + { + "model": "lcpp6-tiel-coder-35b-t06", + "engine": "llama.cpp 0.7", + "variant": "Titan, GPU unlock on, round 1, 141004-token prompt, seed 41", + "decode": 97.7, + "quote": null, + "prefill": 2397, + "vram": null, + "error": "" + }, + { + "model": "lcpp6-tiel-coder-35b-t06", + "engine": "llama.cpp 0.7", + "variant": "Titan, GPU unlock on, round 1, 141004-token prompt, seed 42", + "decode": 97.9, + "quote": null, + "prefill": 1746, + "vram": null, + "error": "" + }, + { + "model": "lcpp6-tiel-coder-35b-t06", + "engine": "llama.cpp 0.7", + "variant": "Titan, GPU unlock on, round 2, 400-token code prompt", + "decode": 148.8, + "quote": null, + "prefill": null, + "vram": null, + "error": "" + }, + { + "model": "lcpp6-tiel-coder-35b-t06", + "engine": "llama.cpp 0.7", + "variant": "Titan, GPU unlock on, round 2, 141004-token prompt, seed 41", + "decode": 97.7, + "quote": null, + "prefill": 2396, + "vram": null, + "error": "" + }, + { + "model": "lcpp6-tiel-coder-35b-t06", + "engine": "llama.cpp 0.7", + "variant": "Titan, GPU unlock on, round 2, 141004-token prompt, seed 42", + "decode": 97.5, + "quote": null, + "prefill": 1745, + "vram": null, + "error": "" } ], "engines": [ @@ -8475,8 +9306,8 @@ }, { "version": "0.7.0", - "date": "2026-10-15", - "note": "Adds a GPU cache for experts kept in RAM (--moe-cache-mib); in the router since 2026-10-18." + "date": "2026-10-18", + "note": "Released 2026-10-15. Adds a GPU cache for experts kept in RAM (--moe-cache-mib); in the router since 2026-10-18." }, { "version": "Newer official builds", @@ -8511,9 +9342,9 @@ }, { "model": "Flint 40B-A2.5B Q3_K_XL", - "config": "newer build, all on GPU, q8 KV, 11.7k depth, -ub 2048", + "config": "newer build, all on GPU, q8 KV, 11.7k depth", "decode": 106, - "prefill": 5357, + "prefill": null, "unit": "tok/s", "context": "262k", "date": "2026-10-22" @@ -8525,7 +9356,7 @@ "prefill": null, "unit": "tok/s", "context": "150k", - "date": "2026-10-22" + "date": "2026-10" }, { "model": "Flint Q4_K_XL", @@ -8657,7 +9488,7 @@ "model": "Flash-Next GGUFs (fresh loads)", "config": "0.7.0 expert cache; prefill about 250 before", "decode": null, - "prefill": 415, + "prefill": "415-427", "unit": "tok/s", "context": "16k and 48k", "date": "2026-10-22" @@ -9252,7 +10083,7 @@ }, { "model": "GLM-5.3-Flash Maya-M IQ2_S", - "config": "no draft head, default PCIe share 0.36", + "config": "default PCIe share 0.36 (0.25 gave 17.9)", "decode": 16.0, "prefill": null, "unit": "tok/s", @@ -9984,7 +10815,7 @@ "unit": "tok/s" }, { - "label": "Prefill, fresh load against quality-script runs (not reproduced)", + "label": "Prefill, quality-script runs (not reproduced) → fresh load", "before": "85-100", "after": 415, "unit": "tok/s" @@ -10085,7 +10916,7 @@ } ], "chart": "timeline", - "evidence": "Flash-Next with experts in RAM: 2.2 tok/s on llama.cpp 0.4 to 144 on Strata 0.2.2 (2026-10-22).", + "evidence": "Flash-Next with experts in RAM: 2.2 tok/s on llama.cpp 0.4, 30-45 on Strata 0.1 (2026-10-04); Gyro-S on Strata 0.2.2 reached 144 on code (2026-10-22).", "caveat": "Quants differ across rows; Strata's 144 is Gyro-S on code.", "doc": "https://github.com/alexderz/agentic-model-testing/blob/main/docs/model-research/tuning.md#10-engine-choice" }, @@ -10095,13 +10926,13 @@ "rule": "Run quality and multi-session checks on every new engine or settings change before ranking speed.", "metrics": [ { - "label": "tqLLM code decode against llama.cpp on the same GGUF", + "label": "Code decode on the same GGUF, llama.cpp → tqLLM", "before": 40.3, "after": 101.7, "unit": "tok/s" }, { - "label": "Multi-session checks passed, tqLLM (best) against llama.cpp live", + "label": "Multi-session checks passed, tqLLM (best) → llama.cpp live", "before": 4, "after": 11, "unit": "of 11" @@ -10871,6 +11702,78 @@ "note": "no SVG: length stop at 32,000 tokens, all thinking (five identical replies)", "frames": [], "live": null + }, + { + "case": "mx22-flashnext-heretic2-t5-oneshot-orrery-r1", + "entry": "lcpp6-flashnext-heretic2", + "test": 5, + "finish": "stop", + "tokens": 33547.0, + "wall_s": 1513.4, + "tok_s": 22.3, + "points": { + "A": 0.0, + "B": 0.0, + "C": 0.0, + "D": 0.0, + "E": 0.0 + }, + "total": 0.0, + "note": "Final model-supplied standalone SVG is malformed (mismatched tag, line 77). The harness also greedily concatenated two SVG blocks/prose: that packaging error was separated by extracting the final original codeblock verbatim, which still fails XML parsing. Initial valid background-only fragment is not substituted or graded.", + "frames": [ + "frames/orrery/mx22-flashnext-heretic2-t5-oneshot-orrery-r1/frame-1500.webp", + "frames/orrery/mx22-flashnext-heretic2-t5-oneshot-orrery-r1/frame-5000.webp", + "frames/orrery/mx22-flashnext-heretic2-t5-oneshot-orrery-r1/frame-10000.webp" + ], + "live": null + }, + { + "case": "t5nm1-lcpp6-ornith-122b-q4kxl", + "entry": "lcpp6-ornith-122b-q4kxl", + "test": 5, + "finish": "stop", + "tokens": 29646.0, + "wall_s": 1940.1, + "tok_s": 15.3, + "points": { + "A": 1.0, + "B": 1.0, + "C": 0.0, + "D": 1.0, + "E": 0.0 + }, + "total": 3.0, + "note": "Parses and draws, but planets are left at the central origin instead of translated to arm ends. Only gears visibly move; outer markers stay fixed across sealed frames. Nominal period parameters are not functioning planetary orbits. Toothed wheels turn without credible meshing; no visible planetary day/night.", + "frames": [ + "frames/orrery/t5nm1-lcpp6-ornith-122b-q4kxl/frame-1500.webp", + "frames/orrery/t5nm1-lcpp6-ornith-122b-q4kxl/frame-5000.webp", + "frames/orrery/t5nm1-lcpp6-ornith-122b-q4kxl/frame-10000.webp" + ], + "live": "live/orrery/t5nm1-lcpp6-ornith-122b-q4kxl/orrery.svg" + }, + { + "case": "t5nm1-lcpp-flint-40b-q3kxl", + "entry": "lcpp-flint-40b-q3kxl", + "test": 5, + "finish": "stop", + "tokens": 30402.0, + "wall_s": 299.0, + "tok_s": 101.8, + "points": { + "A": 1.0, + "B": 2.0, + "C": 0.0, + "D": 0.0, + "E": 1.0 + }, + "total": 4.0, + "note": "Renders with detached teeth and shadow halos; motion present; orbital periods 80/38/20/40/160/300s incorrectly order inner planets; no credible meshing pairs; offset black shadows rotate incorrectly. Independent original-source/frame review.", + "frames": [ + "frames/orrery/t5nm1-lcpp-flint-40b-q3kxl/frame-1500.webp", + "frames/orrery/t5nm1-lcpp-flint-40b-q3kxl/frame-5000.webp", + "frames/orrery/t5nm1-lcpp-flint-40b-q3kxl/frame-10000.webp" + ], + "live": "live/orrery/t5nm1-lcpp-flint-40b-q3kxl/orrery.svg" } ], "pagoda": [ @@ -11981,6 +12884,78 @@ "frames/pagoda/t6unc1-qwen3.8-27b-uncensored-vllm/frame-10000.webp" ], "live": "live/pagoda/t6unc1-qwen3.8-27b-uncensored-vllm/page.html" + }, + { + "case": "mx22-flashnext-heretic2-t6-oneshot-pagoda-r1", + "entry": "lcpp6-flashnext-heretic2", + "test": 6, + "finish": "stop", + "tokens": 29545.0, + "wall_s": 1359.9, + "tok_s": 21.8, + "points": { + "A": 0.0, + "B": 0.0, + "C": 0.0, + "D": 0.0, + "E": 0.0 + }, + "total": 0.0, + "note": "Original animation throws ReferenceError: clock is not defined before scene rendering; all sealed frames contain only the clear-color background. Offline three.js dependency packaging succeeds. Blank-page rule scores every dimension zero; no diagnostic model-code fix was scored.", + "frames": [ + "frames/pagoda/mx22-flashnext-heretic2-t6-oneshot-pagoda-r1/frame-1500.webp", + "frames/pagoda/mx22-flashnext-heretic2-t6-oneshot-pagoda-r1/frame-5000.webp", + "frames/pagoda/mx22-flashnext-heretic2-t6-oneshot-pagoda-r1/frame-10000.webp" + ], + "live": null + }, + { + "case": "t6nm1-lcpp6-ornith-122b-q4kxl", + "entry": "lcpp6-ornith-122b-q4kxl", + "test": 6, + "finish": "stop", + "tokens": 6653.0, + "wall_s": 523.0, + "tok_s": 15.4, + "points": { + "A": 1.0, + "B": 2.0, + "C": 1.0, + "D": 2.0, + "E": 2.0 + }, + "total": 8.0, + "note": "Draws consistently from boxes; five tiers/upturned eaves but full spire is cropped in every frame. Platform, cherry trees, pond and torii visible. Falling petals, shadows and frame-based camera orbit present.", + "frames": [ + "frames/pagoda/t6nm1-lcpp6-ornith-122b-q4kxl/frame-1500.webp", + "frames/pagoda/t6nm1-lcpp6-ornith-122b-q4kxl/frame-5000.webp", + "frames/pagoda/t6nm1-lcpp6-ornith-122b-q4kxl/frame-10000.webp" + ], + "live": "live/pagoda/t6nm1-lcpp6-ornith-122b-q4kxl/page.html" + }, + { + "case": "t6nm1-lcpp-flint-40b-q3kxl", + "entry": "lcpp-flint-40b-q3kxl", + "test": 6, + "finish": "stop", + "tokens": 15958.0, + "wall_s": 145.2, + "tok_s": 110.1, + "points": { + "A": 1.0, + "B": 2.0, + "C": 1.0, + "D": 2.0, + "E": 2.0 + }, + "total": 8.0, + "note": "Draws consistently from boxes; five tiers but complete spire cropped in all three frames; platform pond cherry tree and partly occluded torii visible; petals shadows and frame-based camera orbit present. Offline CDN rewrite is packaging only; no model fix.", + "frames": [ + "frames/pagoda/t6nm1-lcpp-flint-40b-q3kxl/frame-1500.webp", + "frames/pagoda/t6nm1-lcpp-flint-40b-q3kxl/frame-5000.webp", + "frames/pagoda/t6nm1-lcpp-flint-40b-q3kxl/frame-10000.webp" + ], + "live": "live/pagoda/t6nm1-lcpp-flint-40b-q3kxl/page.html" } ], "agent-orrery": [ @@ -12493,12 +13468,12 @@ ] }, "counts": { - "models": 93, - "runs": 206, - "test3": 51, - "oneshots": 100, - "frames": 225, - "pass": 133, - "live": 74 + "models": 95, + "runs": 222, + "test3": 53, + "oneshots": 106, + "frames": 243, + "pass": 148, + "live": 78 } } diff --git a/site/data/deep.json b/site/data/deep.json index e89d79e..f7dd966 100644 --- a/site/data/deep.json +++ b/site/data/deep.json @@ -8,7 +8,7 @@ "versions": [ {"version": "0.4.1-dev (commit 4260903)", "date": "2026-09-23 to 2026-10-18", "note": "Bundled build used by the native entries; Flash-Next with experts in RAM: 2.2 tok/s on the probe; long agent runs on it ran out of time."}, {"version": "0.6.0 (official image, build 11429)", "date": "2026-10-05", "note": "2.5-4x faster than 0.4 on Flash-Next with experts in RAM; MTP and n-gram drafting fixes."}, - {"version": "0.7.0", "date": "2026-10-15", "note": "Adds a GPU cache for experts kept in RAM (--moe-cache-mib); in the router since 2026-10-18."}, + {"version": "0.7.0", "date": "2026-10-18", "note": "Released 2026-10-15. Adds a GPU cache for experts kept in RAM (--moe-cache-mib); in the router since 2026-10-18."}, {"version": "Newer official builds", "date": "2026-10-21", "note": "Flint needs b11803 or later; Carbon-X needs b11742 or later; trials ran by hand, not in the router."} ], "good_at": "Any GGUF, including MoE models with experts in system RAM", @@ -17,8 +17,8 @@ "speeds": [ {"model": "Tiel Coder 35B IQ4_XS", "config": "0.7.0, all on GPU", "decode": 151, "prefill": null, "unit": "tok/s", "context": "262k", "date": "2026-10-18"}, {"model": "Flint 40B-A2.5B Q3_K_XL", "config": "newer build, all on GPU, q8 KV, short prompt", "decode": 129, "prefill": null, "unit": "tok/s", "context": "262k", "date": "2026-10-22"}, - {"model": "Flint 40B-A2.5B Q3_K_XL", "config": "newer build, all on GPU, q8 KV, 11.7k depth, -ub 2048", "decode": 106, "prefill": 5357, "unit": "tok/s", "context": "262k", "date": "2026-10-22"}, - {"model": "Flint Q4_K_XL", "config": "10 expert layers in RAM", "decode": 95, "prefill": null, "unit": "tok/s", "context": "150k", "date": "2026-10-22"}, + {"model": "Flint 40B-A2.5B Q3_K_XL", "config": "newer build, all on GPU, q8 KV, 11.7k depth", "decode": 106, "prefill": null, "unit": "tok/s", "context": "262k", "date": "2026-10-22"}, + {"model": "Flint Q4_K_XL", "config": "10 expert layers in RAM", "decode": 95, "prefill": null, "unit": "tok/s", "context": "150k", "date": "2026-10"}, {"model": "Flint Q4_K_XL", "config": "15 expert layers in RAM; prefill of an 11.7k prompt", "decode": 81.4, "prefill": 2208, "unit": "tok/s", "context": null, "date": "2026-10-22"}, {"model": "Flint Q4_K_XL", "config": "19 expert layers in RAM", "decode": 73.1, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-22"}, {"model": "Flint Q4_K_XL", "config": "24 expert layers in RAM; prefill of an 11.7k prompt", "decode": 64.2, "prefill": 1624, "unit": "tok/s", "context": "262k", "date": "2026-10-22"}, @@ -33,7 +33,7 @@ {"model": "Flash-Next Abliterated s1.5 IQ4_XS", "config": "0.7.0, -cmoe, cache 13824 MiB, q8 KV, streamed", "decode": "19-21", "prefill": null, "unit": "tok/s", "context": "262k", "date": "2026-10-22"}, {"model": "Flash-Next Swift 1.5 IQ3_XXS (pruned)", "config": "0.7.0, -cmoe, cache 9216 MiB, q8 KV, streamed", "decode": "23-26", "prefill": null, "unit": "tok/s", "context": "262k", "date": "2026-10-22"}, {"model": "Flash-Next unpruned IQ3_S", "config": "0.7.0, -cmoe, cache 9216 MiB, q8 KV, streamed", "decode": "21-23", "prefill": null, "unit": "tok/s", "context": "262k", "date": "2026-10-22"}, - {"model": "Flash-Next GGUFs (fresh loads)", "config": "0.7.0 expert cache; prefill about 250 before", "decode": null, "prefill": 415, "unit": "tok/s", "context": "16k and 48k", "date": "2026-10-22"}, + {"model": "Flash-Next GGUFs (fresh loads)", "config": "0.7.0 expert cache; prefill about 250 before", "decode": null, "prefill": "415-427", "unit": "tok/s", "context": "16k and 48k", "date": "2026-10-22"}, {"model": "Flash-Next unpruned IQ3_S", "config": "0.7.0, raw short outputs, thinking off, code; prose 41.3, structured 41.0", "decode": 40.3, "prefill": null, "unit": "tok/s", "context": "32k", "date": "2026-10-22"}, {"model": "Qwen3.8-Flash-Next", "config": "0.4.1-dev, experts in RAM, short probe", "decode": 2.2, "prefill": 136, "unit": "tok/s", "context": "49k", "date": "2026-10-05"}, {"model": "Qwen3.8-Flash-Next", "config": "0.6, experts in RAM, short probe", "decode": 8.9, "prefill": 569, "unit": "tok/s", "context": "49k", "date": "2026-10-05"}, @@ -166,7 +166,7 @@ {"model": "GLM-5.3-Flash Maya-S IQ2_XXS", "config": "1.0.4 with three patches, weights on local disk", "decode": "17-19", "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-08"}, {"model": "GLM-5.3-Flash Maya-S IQ2_XXS", "config": "1.1.11, two probe rounds (1.0.x: 14.6 on the same 3.5 bpw pack)", "decode": 17.0, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-16"}, {"model": "GLM-5.3-Flash Maya-S / Maya-M", "config": "1.1.13, test 3 runs, both flavors", "decode": "5.4-6.9", "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-17"}, - {"model": "GLM-5.3-Flash Maya-M IQ2_S", "config": "no draft head, default PCIe share 0.36", "decode": 16.0, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-17"}, + {"model": "GLM-5.3-Flash Maya-M IQ2_S", "config": "default PCIe share 0.36 (0.25 gave 17.9)", "decode": 16.0, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-17"}, {"model": "GLM-5.3-Flash Maya-M IQ2_S", "config": "PCIe share 0.25 (candidate, not applied)", "decode": 17.9, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-17"}, {"model": "GLM-5.3-Flash Maya-M IQ2_S", "config": "no DFlash2 draft head", "decode": 15.35, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-17"}, {"model": "GLM-5.3-Flash Maya-M IQ2_S", "config": "with DFlash2 draft head, 91 % of drafts accepted", "decode": 10.7, "prefill": null, "unit": "tok/s", "context": null, "date": "2026-10-17"} @@ -399,7 +399,7 @@ {"label": "Strata 0.1.42 prompt reading, cold against warm", "before": 44, "after": 1269, "unit": "tok/s"}, {"label": "Strata 0.1.42 decode, cold against warm round", "before": 13.1, "after": 23.5, "unit": "tok/s"}, {"label": "Unpruned Flash-Next GGUF, raw benchmark against streamed", "before": 40, "after": "21-23", "unit": "tok/s"}, - {"label": "Prefill, fresh load against quality-script runs (not reproduced)", "before": "85-100", "after": 415, "unit": "tok/s"} + {"label": "Prefill, quality-script runs (not reproduced) → fresh load", "before": "85-100", "after": 415, "unit": "tok/s"} ], "chart": "slope", "evidence": "Strata 0.1.42, 2026-10-11: the same prompt read at 44 tok/s cold and 1,269 warm.", @@ -436,7 +436,7 @@ {"label": "Multi-session checks passed: tqLLM (best) against stock SGLang", "before": 4, "after": 11, "unit": "of 11"} ], "chart": "timeline", - "evidence": "Flash-Next with experts in RAM: 2.2 tok/s on llama.cpp 0.4 to 144 on Strata 0.2.2 (2026-10-22).", + "evidence": "Flash-Next with experts in RAM: 2.2 tok/s on llama.cpp 0.4, 30-45 on Strata 0.1 (2026-10-04); Gyro-S on Strata 0.2.2 reached 144 on code (2026-10-22).", "caveat": "Quants differ across rows; Strata's 144 is Gyro-S on code.", "doc": "docs/model-research/tuning.md#10-engine-choice" }, @@ -445,8 +445,8 @@ "title": "Check a setup before trusting speed", "rule": "Run quality and multi-session checks on every new engine or settings change before ranking speed.", "metrics": [ - {"label": "tqLLM code decode against llama.cpp on the same GGUF", "before": 40.3, "after": 101.7, "unit": "tok/s"}, - {"label": "Multi-session checks passed, tqLLM (best) against llama.cpp live", "before": 4, "after": 11, "unit": "of 11"}, + {"label": "Code decode on the same GGUF, llama.cpp → tqLLM", "before": 40.3, "after": 101.7, "unit": "tok/s"}, + {"label": "Multi-session checks passed, tqLLM (best) → llama.cpp live", "before": 4, "after": 11, "unit": "of 11"}, {"label": "Multi-session checks passed, Carbon-X at one slot", "before": null, "after": 10, "unit": "of 11"}, {"label": "Old runs regraded, 2026-10-10", "before": null, "after": 125, "unit": "runs"}, {"label": "Verdicts changed by the regrade", "before": null, "after": 4, "unit": "verdicts"} diff --git a/site/data/history.json b/site/data/history.json index 9ec6e1d..97b09f9 100644 --- a/site/data/history.json +++ b/site/data/history.json @@ -1,4 +1,7 @@ { + "schema": "history/1", + "generated_from": "private bake-off tree, 2026-10-07 to 2026-10-25", + "generated": "2026-10-25 11:07 CDT", "runs_new": [ { "case": "wa-saluki-27b-iq2", @@ -359,6 +362,390 @@ "loc": 9497, "errors_per_kloc": 0.4 } + }, + { + "case": "mx22-orcarouter-fn-uncensored-t1-cli-r1", + "model": "lcpp6-orcarouter-fn-uncensored", + "test": 1, + "agent": "OpenCode", + "checks": 5, + "tests_pass": 41, + "tests_fail": 0, + "subcmds": 10, + "tps": 19.9, + "minutes": 29, + "compactions": null, + "ctx": 262144, + "kv": "q8_0", + "verdict": "pass", + "finished": "2026-10-22 21:40", + "struggle": { + "compiles": 0, + "failed_compiles": 0, + "rust_errors": 0, + "loc": 861, + "errors_per_kloc": 0.0 + } + }, + { + "case": "mx22-orcarouter-fn-uncensored-t2t-rust-mcp-r1", + "model": "lcpp6-orcarouter-fn-uncensored", + "test": 2, + "agent": "OpenCode", + "checks": null, + "tests_pass": null, + "tests_fail": null, + "subcmds": null, + "tps": 13.9, + "minutes": 166, + "compactions": null, + "ctx": 262144, + "kv": "q8_0", + "verdict": "partial", + "finished": "2026-10-23 00:28", + "struggle": { + "compiles": 17, + "failed_compiles": 14, + "rust_errors": 60, + "loc": 2340, + "errors_per_kloc": 25.6 + } + }, + { + "case": "mx22-orcarouter-fn-uncensored-setupretry1-t4-bugfix-targets-r1", + "model": "lcpp6-orcarouter-fn-uncensored", + "test": 4, + "agent": "OpenCode", + "checks": 4, + "tests_pass": 156, + "tests_fail": 0, + "subcmds": null, + "tps": 17.2, + "minutes": 12, + "compactions": 0, + 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"errors_per_kloc": 0.0 + } + }, + { + "case": "mx22-q38-defiance-192k-author-t2-rust-mcp-r1", + "model": "lcpp6-q38-defiance-192k-author", + "test": 2, + "agent": "OpenCode", + "checks": null, + "tests_pass": 46, + "tests_fail": 0, + "subcmds": null, + "tps": 22.6, + "minutes": 65, + "compactions": null, + "ctx": 196608, + "kv": "q8_0", + "verdict": "pass", + "finished": "2026-10-23 23:00", + "struggle": { + "compiles": 27, + "failed_compiles": 6, + "rust_errors": 15, + "loc": 2415, + "errors_per_kloc": 6.6 + } } ], "test3_new": [ @@ -387,6 +774,32 @@ "tps": 7.1, "minutes": 9, "finished": "2026-10-17 20:13" + }, + { + "case": "mx22-flashnext-heretic2-setupretry1-t3g-known-good-mcp-r1", + "model": "lcpp6-flashnext-heretic2", + "flavor": "3G", + "mcp_facts": "14/14", + "api_facts": "14/14", + "judgement_right": true, + "rubric": 12, + "note": "Known-good server. One probe, 12 calls. REST and MCP both 14 of 14. It left the server unchanged and the judgement is right. Rubric 12.", + "tps": 9.5, + "minutes": 15, + "finished": "2026-10-23 11:39" + }, + { + "case": "mx22-flashnext-heretic2-setupretry1-t3o-own-mcp-r1", + "model": "lcpp6-flashnext-heretic2", + "flavor": "3O", + "mcp_facts": "13/14", + "api_facts": "14/14", + "judgement_right": false, + "rubric": 9, + "note": "Own server. MCP 13 of 14, REST 14 of 14. The fixed server builds, initializes, exposes 7 tools and passes 34 tests, but temperature was still missed and the final judgement is wrong. Rubric 9.", + "tps": 11.8, + "minutes": 32, + "finished": "2026-10-23 12:11" } ], "models_new": { @@ -485,6 +898,38 @@ "label": "no", "status": "none" } + }, + "lcpp6-ornith-122b-q4kxl": { + "id": "lcpp6-ornith-122b-q4kxl", + "family": "Ornith 1.5", + "label": "Ornith 1.5 122B-A10B UD-Q4_K_XL · llama.cpp 0.7, experts partly in RAM", + "base": "ornith-ai/Ornith-1.5-122B", + "arch": "MoE 122B-A10B", + "engine": "llama.cpp 0.7", + "quant": "UD-Q4_K_XL", + "kind": "tune", + "uncensored": false, + "note": "MIT. Fine-tune of Qwen3.5-122B-A10B. Thinking on. An offload sweep on 2026-10-20 with 41 expert layers in RAM and 2048-token batches recorded 16.1 tok/s decode and 392.1 tok/s prefill. The agent runs above are slower; context and KV for those runs were not in a spec snapshot.", + "vision": { + "label": "not surveyed", + "status": null + } + }, + "lcpp6-q38-defiance-192k-author": { + "id": "lcpp6-q38-defiance-192k-author", + "family": "Qwen3.8 27B", + "label": "Defiance IQ4_XS · llama.cpp 0.7, 196608 context, q8 KV, author sampler", + "base": "Qwen/Qwen3.8-27B", + "arch": "dense 27B", + "engine": "llama.cpp 0.7", + "quant": "IQ4_XS", + "kind": "uncensored-tune", + "uncensored": true, + "note": "Uncensored tune. Author sampler, no draft weights. This run served 196608 tokens with q8 KV.", + "vision": { + "label": "not surveyed", + "status": null + } } }, "ab_new": [ @@ -597,6 +1042,186 @@ "prefill": 2539.8, "vram": 23862, "error": "" + }, + { + "model": "qwen3.8-27b-vllm", + "engine": "vLLM (HyperQwen)", + "variant": "Titan, GPU unlock off, 400-token code prompt", + "decode": 126.4, + "quote": null, + "prefill": null, + "vram": null, + "error": "" + }, + { + "model": "qwen3.8-27b-vllm", + "engine": "vLLM (HyperQwen)", + "variant": "Titan, GPU unlock off, 140826-token prompt, seed 41", + "decode": 85.3, + "quote": null, + "prefill": 736, + "vram": null, + "error": "" + }, + { + "model": "qwen3.8-27b-vllm", + "engine": "vLLM (HyperQwen)", + "variant": "Titan, GPU unlock off, 140826-token prompt, seed 42", + "decode": 79.1, + "quote": null, + "prefill": 736, + "vram": null, + "error": "" + }, + { + "model": "qwen3.8-27b-vllm", + "engine": "vLLM (HyperQwen)", + "variant": "Titan, GPU unlock on, round 1, 400-token code prompt", + "decode": 127.9, + "quote": null, + "prefill": null, + "vram": null, + "error": "" + }, + { + "model": "qwen3.8-27b-vllm", + "engine": "vLLM (HyperQwen)", + "variant": "Titan, GPU unlock on, round 1, 140826-token prompt, seed 41", + "decode": 94.5, + "quote": null, + "prefill": 1053, + "vram": null, + "error": "" + }, + { + "model": "qwen3.8-27b-vllm", + "engine": "vLLM (HyperQwen)", + "variant": "Titan, GPU unlock on, round 1, 140826-token prompt, seed 42", + "decode": 87.9, + "quote": null, + "prefill": 1053, + "vram": null, + "error": "" + }, + { + "model": "qwen3.8-27b-vllm", + "engine": "vLLM (HyperQwen)", + "variant": "Titan, GPU unlock on, round 2, 400-token code prompt", + "decode": 127.5, + "quote": null, + "prefill": null, + "vram": null, + "error": "" + }, + { + "model": "qwen3.8-27b-vllm", + "engine": "vLLM (HyperQwen)", + "variant": "Titan, GPU unlock on, round 2, 140826-token prompt, seed 41", + "decode": 94.4, + "quote": null, + "prefill": 1056, + "vram": null, + "error": "" + }, + { + "model": "qwen3.8-27b-vllm", + "engine": "vLLM (HyperQwen)", + "variant": "Titan, GPU unlock on, round 2, 140826-token prompt, seed 42", + "decode": 87.7, + "quote": null, + "prefill": 1055, + "vram": null, + "error": "" + }, + { + "model": "lcpp6-tiel-coder-35b-t06", + "engine": "llama.cpp 0.7", + "variant": "Titan, GPU unlock off, 400-token code prompt", + "decode": 149.1, + "quote": null, + "prefill": null, + "vram": null, + "error": "" + }, + { + "model": "lcpp6-tiel-coder-35b-t06", + "engine": "llama.cpp 0.7", + "variant": "Titan, GPU unlock off, 141004-token prompt, seed 41", + "decode": 97.7, + "quote": null, + "prefill": 2201, + "vram": null, + "error": "" + }, + { + "model": "lcpp6-tiel-coder-35b-t06", + "engine": "llama.cpp 0.7", + "variant": "Titan, GPU unlock off, 141004-token prompt, seed 42", + "decode": 97.6, + "quote": null, + "prefill": 1549, + "vram": null, + "error": "" + }, + { + "model": "lcpp6-tiel-coder-35b-t06", + "engine": "llama.cpp 0.7", + "variant": "Titan, GPU unlock on, round 1, 400-token code prompt", + "decode": 148.6, + "quote": null, + "prefill": null, + "vram": null, + "error": "" + }, + { + "model": "lcpp6-tiel-coder-35b-t06", + "engine": "llama.cpp 0.7", + "variant": "Titan, GPU unlock on, round 1, 141004-token prompt, seed 41", + "decode": 97.7, + "quote": null, + "prefill": 2397, + "vram": null, + "error": "" + }, + { + "model": "lcpp6-tiel-coder-35b-t06", + "engine": "llama.cpp 0.7", + "variant": "Titan, GPU unlock on, round 1, 141004-token prompt, seed 42", + "decode": 97.9, + "quote": null, + "prefill": 1746, + "vram": null, + "error": "" + }, + { + "model": "lcpp6-tiel-coder-35b-t06", + "engine": "llama.cpp 0.7", + "variant": "Titan, GPU unlock on, round 2, 400-token code prompt", + "decode": 148.8, + "quote": null, + "prefill": null, + "vram": null, + "error": "" + }, + { + "model": "lcpp6-tiel-coder-35b-t06", + "engine": "llama.cpp 0.7", + "variant": "Titan, GPU unlock on, round 2, 141004-token prompt, seed 41", + "decode": 97.7, + "quote": null, + "prefill": 2396, + "vram": null, + "error": "" + }, + { + "model": "lcpp6-tiel-coder-35b-t06", + "engine": "llama.cpp 0.7", + "variant": "Titan, GPU unlock on, round 2, 141004-token prompt, seed 42", + "decode": 97.5, + "quote": null, + "prefill": 1745, + "vram": null, + "error": "" } ], "tests": [ @@ -730,6 +1355,34 @@ "title": "Expert cache, Strata 0.2.2, Flint and tqLLM", "what": "Flash-Next sped up on llama.cpp and Strata; a new MoE and a new engine were tried.", "why": "Make the 125B model usable on one card." + }, + { + "date": "2026-10-23", + "era": "Models", + "title": "Ornith 122B and Defiance pass tests 1 and 2", + "what": "Ornith at 13.4 tok/s and Defiance at 32.5 tok/s both cleared the CLI checks and the Rust server tests.", + "why": "Do the new large and uncensored quants finish a real task?" + }, + { + "date": "2026-10-23", + "era": "Flash-Next", + "title": "Heretic 2 passes the code tests", + "what": "Five CLI checks, a 7-tool server with 34 passing tests, and three maintenance tickets. Both one-shots scored 0.", + "why": "An abliterated Flash-Next quant had not been graded on this matrix." + }, + { + "date": "2026-10-23", + "era": "Harness", + "title": "A trust run whose tests did not compile", + "what": "Orca uncensored passed test 1, plain test 2, and three test-4 tickets. Its trust run's tests failed to compile, so 0 and 0 is not a pass.", + "why": "A green protocol line can hide a broken test build." + }, + { + "date": "2026-10-24", + "era": "Engines", + "title": "GPU unlock speeds long prefill", + "what": "On Titan, vLLM Qwen3.8-27B long-prompt prefill rose from 736 to about 1050 tok/s. Short decode stayed near 127 tok/s.", + "why": "Does unlocking the GPU clock help a model that already fits on the card?" } ], "findings": [ @@ -1253,6 +1906,187 @@ ], "quality": "Standard graders; both tests passed.", "caveat": "Decode figures come from the run log, not a result file. A 1-bit variant failed both tests." + }, + { + "date": "2026-10-24", + "title": "GPU unlock raises long-prompt prefill by 43%", + "kind": "engine", + "summary": "On Titan, vLLM Qwen3.8-27B was measured with GPU unlock off, then on, then on again. A 140826-token prompt prefilled at 736 tok/s off. Unlock rounds were 1053 and 1056 tok/s on seed 41, and 1053 and 1055 tok/s on seed 42. The probe summary calls that a 43.3% and 43.2% gain. Short code decode moved from 126.4 to 127.9 and 127.5 tok/s. The same check on llama.cpp 0.7 with Tiel left short code decode at 149.1, 148.6 and 148.8 tok/s.", + "settings": null, + "metrics": [ + { + "label": "vLLM prefill, 140826 tokens, seed 41", + "before": 736, + "after": 1053, + "unit": "tok/s" + }, + { + "label": "vLLM prefill, seed 41, unlock round 2", + "before": 736, + "after": 1056, + "unit": "tok/s" + }, + { + "label": "vLLM prefill, seed 42, unlock round 2", + "before": 736, + "after": 1055, + "unit": "tok/s" + }, + { + "label": "vLLM decode, 400-token code prompt, round 1", + "before": 126.4, + "after": 127.9, + "unit": "tok/s" + }, + { + "label": "vLLM deep decode, seed 41", + "before": 85.3, + "after": 94.5, + "unit": "tok/s" + }, + { + "label": "Tiel decode, 400-token code prompt, round 1", + "before": 149.1, + "after": 148.6, + "unit": "tok/s" + }, + { + "label": "Tiel prefill, 141004 tokens, seed 41, round 1", + "before": 2201, + "after": 2397, + "unit": "tok/s" + } + ], + "quality": "The needle check passed in every unlock phase, on and off.", + "caveat": "One off-round and two on-rounds, one card. Short decode barely moved. Tiel deep decode stayed 97.7 tok/s on seed 41. The llama.cpp version is from the same day's entry spec, not from a spec file inside the probe directory." + }, + { + "date": "2026-10-23", + "title": "Flash-Next Heretic 2 passes the coding tests and fails both one-shots", + "kind": "model", + "summary": "Test 1 scored 5 of 5 checks, 36 tests and 0 failures at 18.2 tok/s. Test 2 built, initialized, exposed 7 tools, called a tool, and passed 34 tests with 0 failures. Three test-4 tickets passed, with 4, 13 and 11 hidden checks. The orrery one-shot scored 0 of 10 because the SVG did not parse. The pagoda one-shot scored 0 of 10 because every sealed frame was only the clear color.", + "settings": null, + "metrics": [ + { + "label": "Test 1 checks", + "before": null, + "after": 5, + "unit": "of 5" + }, + { + "label": "Test 2 tests passed", + "before": null, + "after": 34, + "unit": "tests" + }, + { + "label": "Orrery score", + "before": null, + "after": 0, + "unit": "of 10" + }, + { + "label": "Pagoda score", + "before": null, + "after": 0, + "unit": "of 10" + } + ], + "quality": "Code tests passed. One-shots did not render a usable scene.", + "caveat": "One run each. The trust-variant test 2 exposed 4 tools and passed 28 tests; that is a different case, not a failure of the 7-tool run." + }, + { + "date": "2026-10-23", + "title": "Ornith 122B and Defiance pass tests 1 and 2", + "kind": "model", + "summary": "Ornith UD-Q4_K_XL scored 5 of 5 CLI checks and 48 tests at 13.4 tok/s, then a 7-tool server with 43 tests and 0 failures at 12.9 tok/s. Defiance IQ4_XS at 196608 context scored 5 of 5 checks and 82 tests at 32.5 tok/s, then 7 tools, 46 tests and 0 failures at 22.6 tok/s.", + "settings": null, + "metrics": [ + { + "label": "Ornith test 1 decode", + "before": null, + "after": 13.4, + "unit": "tok/s" + }, + { + "label": "Ornith test 2 tests passed", + "before": null, + "after": 43, + "unit": "tests" + }, + { + "label": "Defiance test 1 decode", + "before": null, + "after": 32.5, + "unit": "tok/s" + }, + { + "label": "Defiance test 2 tests passed", + "before": null, + "after": 46, + "unit": "tests" + } + ], + "quality": "Both protocol suites passed. No new one-shot grade for either model in this window.", + "caveat": "One run each. Ornith has no spec snapshot, so context and KV are unknown. Defiance one-shots finished later and are not graded." + }, + { + "date": "2026-10-23", + "title": "Orca uncensored passes test 4; its trust tests did not compile", + "kind": "model", + "summary": "Test 1 scored 5 of 5 checks and 41 tests. The plain test 2 built, initialized, exposed 9 tools and passed 42 tests. Three test-4 tickets passed (4, 13 and 11 hidden checks). The trust run also built, initialized and called tools (9 tools), but cargo test exited 101 while compiling. The parsed 0 and 0 counts are not a suite pass.", + "settings": null, + "metrics": [ + { + "label": "Test 1 tests passed", + "before": null, + "after": 41, + "unit": "tests" + }, + { + "label": "Plain test 2 tests passed", + "before": null, + "after": 42, + "unit": "tests" + }, + { + "label": "Trust-run cargo test exit", + "before": null, + "after": 101, + "unit": "exit code" + } + ], + "quality": "Coding tickets passed. Trust-run test quality is incomplete, not a pass.", + "caveat": "The plain test-2 grade is in the prerequisite regrade file, not the main grade table. Test 3 for this model is not in the canonical grade table." + }, + { + "date": "2026-10-23", + "title": "Heretic 2 judges a known-good server right and its own server wrong", + "kind": "test", + "summary": "On the known-good server, MCP and REST were both 14 of 14 and the judgement was right (rubric 12). On its own server, REST was 14 of 14 and MCP 13 of 14. The fixed server builds, initializes, exposes 7 tools and passes 34 tests, but the missing fact is temperature and the final judgement is wrong (rubric 9).", + "settings": null, + "metrics": [ + { + "label": "Known-good rubric", + "before": null, + "after": 12, + "unit": "of 12" + }, + { + "label": "Own-server rubric", + "before": null, + "after": 9, + "unit": "of 12" + }, + { + "label": "Own-server MCP facts", + "before": null, + "after": 13, + "unit": "of 14" + } + ], + "quality": "Fact match was high. The own-server trust decision was wrong.", + "caveat": "One run of each flavor. Minutes use the run duration without model-load time." } ], "amend": [ @@ -1328,7 +2162,5 @@ ], "note": "Later changes are not visible in the files read." } - }, - "schema": "history/1", - "generated_from": "private bake-off tree, 2026-10-07 to 2026-10-22" + } } diff --git a/site/frames/orrery/mx22-flashnext-heretic2-t5-oneshot-orrery-r1/frame-10000.webp b/site/frames/orrery/mx22-flashnext-heretic2-t5-oneshot-orrery-r1/frame-10000.webp new file mode 100644 index 0000000000000000000000000000000000000000..256aad9d6917b8e4a388663a01acf8c0b6c17a05 GIT binary patch literal 10124 zcmeHrRZtz!vL$ffV8MdBySoQ>cXvo|cMb;+?!h&e{!ogk6yYp&Z&8=Hg z^`_p>{M`M~)&14Gd-YniduuAl%7)X!!05?Hs_Uu?Q274C=g@-9gJn7aoB%#K@ntBK zP!)ZrP_OU}MvJy{eg$P6o^GDqkx4Wl{Gor_KCAO4{WYssaAqQy|3eJI^#w%wT76AC z6?tT~0Br(yJ#{^{O^BJjroW$^t-T^fnd-bhJjFujuUu+(Y~Cwh65rY$QZK$7_x%cD zh1UABU$8%rPq6f7qzl}j%!px=e)rsn`Gct5n$q~AFW*xTNq>B`VlJ|>sXY!3U5FNfzp0R zQ?iBZ%pT2|A6cc)ggrpIMs&yMpAY_~KwHm;7i}3_ckR|fAV20z$vkC=PY{sM^hh;c-ai)Q 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