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[WS1][MiniMax-H3] h3_arch_fingerprint, h3_operator_trace, h3_trajectory_artifact: pinned architecture, strict-run ledger and sealed trajectory (RFC #420 stack 1/5) - #567

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@fusheng-ji fusheng-ji commented Oct 22, 2026 •

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RFC #420 H3 stack 1/5 (base test-h3, merge in this order): #586 -> #587 -> #588 -> foundation -> projection rows -> WS2 parallel -> token refiner -> full transformer. This PR merges after its parent; until then GitHub also shows the parent's commits. This PR's own diff.

Evidence location: the measurement outputs of this PR (JSON, figures) are not part of its diff. They are on the fork's pr_assets branch under pending/h3-fingerprint-trace-trajectory/ (links in this description are fixed to that commit). Paths such as reports/experiments/... below name where a runner writes its output.

What

  • Architecture fingerprint (rl_engine/models/minimax_h3/fingerprint.py, arch_fingerprint.json, pinned_checkpoint.json): the 33B H3 as a table of
    50 transformer blocks x 17 nodes, 2 token-refiner blocks x 14 nodes, the final norm and 638 tensors (names, shapes, dtypes), pinned to MiniMax-H3@42ed227.
    tools/validation/models/h3_fingerprint.py checks a checkpoint snapshot against it; tools/weights/snapshot_h3_checkpoint.py writes the snapshot.
  • Operator trace ledger (operator_trace.py): every node of a run records which implementation bound it (row, interim, reference, native) and a strict run
    is only accepted when the ledger is complete and every node is row.
  • Trajectory artifact (trajectory.py): a sealed record of a denoising trajectory (per-step velocity / mean, per-modality hashes, optional tensors) with a
    drift_report that names the first step, kind and modality that differ.

Prior art & reuse decision

No existing library offers a pinned per-node architecture table or a ledger of which kernel computed each node: diffusers, vLLM-Omni and SGLang implement the model but
do not expose this; verl, Miles and Vime have no H3 diffusion operators. Nothing to reuse; these are small pure-Python pieces with a CLI each.

Results (H100 / Hopper)

No operator numerics here, so no accuracy/performance charts apply. Measured on NVIDIA H100 (93 GiB, sm90), driver 580.173.02, CUDA 13.0, torch 2.13.0+cu130, pinned MiniMax-H3@42ed227 weights, at head eab901bd.

H100: 77 passed (77 collected) — tests.json.

Results (B200 / Blackwell)

B200: 77 passed (77 collected) — tests.json.

Tests

python -m pytest tests/models/minimax_h3/test_h3_arch_fingerprint.py tests/models/minimax_h3/test_h3_operator_trace.py \
    tests/models/minimax_h3/test_h3_trajectory_artifact.py -q          # 77 passed

black / isort / flake8 clean (pre-commit settings).

Scope / Known limitations

Not part of this PR: video projections (#562), O / gate_up / down GEMMs (#554, #535), full attention (#553), ROCm, SGLang adapter, pipeline parallel. The ledger accepts only row bindings; the interim stand-ins other contributors still own are reported, not hidden.

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Signed-off-by: Wenbo Ji <36562829+fusheng-ji@users.noreply.github.com>
(cherry picked from commit eaba5efe3df971ea9d1a969f53e48f09e09ed176)
Signed-off-by: Wenbo Ji <36562829+fusheng-ji@users.noreply.github.com>
(cherry picked from commit 7da0574)
Signed-off-by: Wenbo Ji <36562829+fusheng-ji@users.noreply.github.com>
(cherry picked from commit b45190d08fc033c7e63ad821d3918eb32dd454f6)
Signed-off-by: Wenbo Ji <36562829+fusheng-ji@users.noreply.github.com>
(cherry picked from commit b5536d6)
Signed-off-by: Wenbo Ji <36562829+fusheng-ji@users.noreply.github.com>
(cherry picked from commit ad1925045b522772bf56f8468b23cca47f04156b)
Signed-off-by: Wenbo Ji <36562829+fusheng-ji@users.noreply.github.com>
(cherry picked from commit f9041e8)
Signed-off-by: Wenbo Ji <36562829+fusheng-ji@users.noreply.github.com>
(cherry picked from commit b44540e)
…block 0 node-by-node and 50-block/generation gates

Squashes the one-block branch (its row-by-row history: timestep sinusoid, RMSNorm, AdaLN rows,
sequence/tensor parallel norm rows, final AdaLN, one block, 50-block qualification) onto the current
test-h3 so the pull request carries a reviewable, signed history. RFC RL-Align#420.

Signed-off-by: Wenbo Ji <36562829+fusheng-ji@users.noreply.github.com>
…ody)

Signed-off-by: Wenbo Ji <36562829+fusheng-ji@users.noreply.github.com>
@fusheng-ji
fusheng-ji force-pushed the feat/h3-fingerprint-trace-trajectory branch from b44540e to eab901b Compare October 22, 2026 21:04
fusheng-ji added a commit to fusheng-ji/RL-Kernel that referenced this pull request Oct 23, 2026
…#567 RL-Align#568 RL-Align#570 RL-Align#571 RL-Align#574 RL-Align#575

Test summaries (tests.json), runner outputs and figures measured on NVIDIA B200 (sm100),
driver 580, CUDA 13.0, torch 2.13.0+cu130, MiniMax-H3@42ed227, clean trees at the PR heads
eab901b, 3cf51bf, 6de320d, eb7840b, af3dcae and 4f7c5d1. Figures use B200 axis labels.
No host names, paths or scheduler identifiers.

Signed-off-by: Wenbo Ji <36562829+fusheng-ji@users.noreply.github.com>
fusheng-ji added a commit to fusheng-ji/RL-Kernel that referenced this pull request Oct 23, 2026
…jectory diag summary

- h3-fingerprint-trace-trajectory-h100/tests.json (77 passed, eab901b)
- environment.json for RL-Align#574/RL-Align#575 H100 adapter reproducibility pins
- dual_trajectory_diag_summary.json (H100/B200 diag strict 0/16 on seeds 11/22/33)

Signed-off-by: Wenbo Ji <36562829+fusheng-ji@users.noreply.github.com>
@Flink-ddd Flink-ddd added platform: cuda Specific optimizations or bugs in NVIDIA graphics cards (such as FlashInfer, TMA optimizations) new-model MiniMax-H3 WS1 labels Oct 23, 2026
Signed-off-by: Wenbo Ji <36562829+fusheng-ji@users.noreply.github.com>
…ctory

Signed-off-by: Wenbo Ji <36562829+fusheng-ji@users.noreply.github.com>

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