fix(attention): qualify compact NVFP4 MTP verifier route - #171
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Per-layer outer-scale calibration for nvfp4_ds_mla KV (VLLM_NVFP4_MLA_SCALES_FILE, format v1) with an explicit default-off knob in serve-glm52.sh. Collapses the NVFP4-vs-FP8 KV KLD gap to ~+0.008-0.009 (0.1345/0.1356 vs 0.1263, 5 fresh boots each, rtx6kpro protocol) while raising max context from 373k to 550k/600k+ on 4x96GB. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Reproduction Attempt on AIBoss (RTX 5090)We attempted to reproduce the What was confirmedThe route selection root cause described in the PR is present in r28. In spec_decode_mode = os.getenv("VLLM_B12X_MLA_SPEC_EXTEND_AS_DECODE", "auto").strip().lower()
disabled_modes = {"0", "false", "off", "no"}
forced_modes = {"1", "true", "on", "yes"}
self.spec_extend_as_decode = spec_decode_mode not in disabled_modesWith Why the retrieval bug could not be reproducedThe CI fixture model has
The failures at 8k+ are from the 5B CI fixture's limited retrieval capability, not the route bug — both routes degrade identically because the model cannot do needle retrieval beyond ~4k tokens regardless of the verifier path. ConclusionThe code-level root cause is confirmed in r28, but the retrieval failure itself requires the full GLM-5.2 model at 300k+ context — not reproducible with the Fruit CI fixture at 64k max context on a single RTX 5090. The fix remains relevant for production deployments running |
Relationship Between PR #171 and Issue #182SummaryPR #171 does not fix issue #182. Issue #182's investigation explicitly tested and refuted the PR #171 hypothesis. They address different root causes in the same symptom space ( Issue #182 root cause (not PR #171)Issue #182 tracks a deep-context retrieval regression where a frozen 343,727-token prompt retrieves correctly on v19 but misses on v20. The investigation (23 comments, ~36 hours of work) localized the root cause to the sparse-indexer top-k selection policy during prefill, not the MTP verifier route:
The actual fix is the PR #171 was explicitly refuted for issue #182Issue #182's experiments table contains this row:
They tested an image without PR #171's route change and the 350k retrieval still missed — proving the MTP verifier route is not the cause of the retrieval regression. What PR #171 actually fixes (and why it's still valuable)PR #171 addresses a different, narrower issue: commit The PR's own field evidence confirms this distinction:
The last result is important — it shows that the MTP route affects the margin of the failure but is not the root cause. Issue #182's investigation then identified the actual root cause as the selector policy. Where they overlap and where they don't
Relevance to the production stackThe production container runs |
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Closing under the repository’s no-draft-PR policy. The branch and discussion remain preserved; any successor will be submitted as ready only after local correctness, E2E, and regression validation. |
Summary
Keep compact
nvfp4_ds_mlaMTP verification on SparkInfer's establishedextend path in
automode. Continue auto-routing the already-qualifiedfp8_ds_mlaverifier through decode, and preserve explicitVLLM_B12X_MLA_SPEC_EXTEND_AS_DECODE=1as an opt-in for further qualification.This corrects the scope of
3e731bc0. Its new decode-verifier correctness testuses
fp8_ds_mla, while GLM-5.2 production uses the distinct compactnvfp4_ds_mlarecord and BF16-QK kernel arm.Root cause
The v20 regression is not consistent with persistent KV-byte corruption:
front door, and paged-indexer orchestration are executable-AST identical
between the passing v19 stack and v20 after normalizing the B12X → SparkInfer
namespace move;
range; and
equivalent to direct top-k.
The relevant execution delta is that
3e731bc0changed the default fromextend to decode for genuine MTP verification without qualifying the compact
NVFP4 kernel arm.
Change
autois now format-qualified:fp8_ds_mlanvfp4_ds_mla0auto1The policy also controls scratch sizing. At MNS16/MTP3, compact NVFP4 no longer
reserves 64 decode rows for verifier batches; it reserves the 16 rows needed by
ordinary decode. For 64 gathered heads, 32 split slots, and value width 512,
this removes at least 99.38 MiB/GPU of verifier-only scratch:
Ordinary one-token decode, MNS16, max model length, and KV format are unchanged.
Internal field evidence
The production comparison that motivated this patch:
i8_ring: 5/5 deep-needle pass at50k/200k/300k/350k/475k; decode baseline 165.1 aggregate tok/s at C16.
i8_ring+ default auto route:pass at 50k/150k, genuine miss by 300k.
but still genuinely missed at 350k/475k and reduced the measured KV pool
from 557,824 to 525,568.
The last result is important: it falsifies the earlier hypothesis that BF16
split partials were the complete cause. Reducing splits changes the margin but
does not qualify the compact-NVFP4 decode verifier.
Needle classification captured
content,reasoning_content,finish_reason, and token usage. Values found in reasoning at 250k/300k countas passes; the 350k/475k cases ended normally with coherent answers saying the
ticket was absent, so they are genuine retrieval misses rather than parser or
budget artifacts.
Validation
Completed without a GPU boot:
git diff --check;FP8/compact-NVFP4 scratch sizing;
[0, 475000);The source proof reports:
The local Mac Python environment does not include pytest, so the full vLLM test
module was not collected here. The dependency-free proof executes the same
route helper directly and passed; CUDA test collection remains part of the GPU
gate.
GPU validation is still required before this should leave draft:
field;