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step00_block00.safetensors
{ "step": "0", "source": "bf16 flash truth", "block": "0", "heads": "0-7", "cfg_pass": "first (positive)", "layout": "HND [8,S,D] bf16 (transposed from NHD for diag-format parity)" }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 0.4951 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.31377 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.25299 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 3.14422 }
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step00_block33.safetensors
{ "step": "0", "source": "bf16 flash truth", "block": "33", "heads": "0-7", "cfg_pass": "first (positive)", "layout": "HND [8,S,D] bf16 (transposed from NHD for diag-format parity)" }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 0.30829 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.16233 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.14679 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 0.79332 }
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619,315,720
step00_block34.safetensors
{ "step": "0", "source": "bf16 flash truth", "block": "34", "heads": "0-7", "cfg_pass": "first (positive)", "layout": "HND [8,S,D] bf16 (transposed from NHD for diag-format parity)" }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 0.25671 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.16455 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.19086 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 0.8619 }
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619,315,720
step00_block39.safetensors
{ "step": "0", "source": "bf16 flash truth", "block": "39", "heads": "0-7", "cfg_pass": "first (positive)", "layout": "HND [8,S,D] bf16 (transposed from NHD for diag-format parity)" }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 0.27691 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 0.96674 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.01928 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.00615 }
cee5ab31ddc841081721d178049f284a
619,315,720
step20_block00.safetensors
{ "step": "20", "source": "bf16 flash truth", "block": "0", "heads": "0-7", "cfg_pass": "first (positive)", "layout": "HND [8,S,D] bf16 (transposed from NHD for diag-format parity)" }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 0.77676 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.33148 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.2577 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.68844 }
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619,315,720
step20_block33.safetensors
{ "step": "20", "source": "bf16 flash truth", "block": "33", "heads": "0-7", "cfg_pass": "first (positive)", "layout": "HND [8,S,D] bf16 (transposed from NHD for diag-format parity)" }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 0.5092 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.14236 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.07995 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 0.78755 }
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step20_block34.safetensors
{ "step": "20", "source": "bf16 flash truth", "block": "34", "heads": "0-7", "cfg_pass": "first (positive)", "layout": "HND [8,S,D] bf16 (transposed from NHD for diag-format parity)" }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 0.49197 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.29226 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.27208 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 0.92957 }
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step20_block39.safetensors
{ "step": "20", "source": "bf16 flash truth", "block": "39", "heads": "0-7", "cfg_pass": "first (positive)", "layout": "HND [8,S,D] bf16 (transposed from NHD for diag-format parity)" }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 0.31928 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 0.94384 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.06561 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.1185 }
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step39_block00.safetensors
{ "step": "39", "source": "bf16 flash truth", "block": "0", "heads": "0-7", "cfg_pass": "first (positive)", "layout": "HND [8,S,D] bf16 (transposed from NHD for diag-format parity)" }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 0.91864 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.32397 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.22047 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.09049 }
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step39_block33.safetensors
{ "step": "39", "source": "bf16 flash truth", "block": "33", "heads": "0-7", "cfg_pass": "first (positive)", "layout": "HND [8,S,D] bf16 (transposed from NHD for diag-format parity)" }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 0.62528 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.15148 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.17843 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 0.89696 }
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step39_block34.safetensors
{ "step": "39", "source": "bf16 flash truth", "block": "34", "heads": "0-7", "cfg_pass": "first (positive)", "layout": "HND [8,S,D] bf16 (transposed from NHD for diag-format parity)" }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 0.57615 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.26819 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.27391 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 0.96509 }
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step39_block39.safetensors
{ "step": "39", "source": "bf16 flash truth", "block": "39", "heads": "0-7", "cfg_pass": "first (positive)", "layout": "HND [8,S,D] bf16 (transposed from NHD for diag-format parity)" }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 0.35219 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.0048 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 1.06891 }
{ "shape": [ 8, 75600, 128 ], "finite": true, "rms": 0.90546 }
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619,315,720

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Wan2.2-T2V-A14B — BF16 flash-attention captures (truth set)

In-model QKV inputs and BF16 flash attention outputs captured from Wan2.2-T2V-A14B (81 frames, 40 steps, seed 42), taken during development of low-precision (MXFP4) block-sparse attention with nucleus (top-p) block routing. Intended for offline evaluation of block-sparse routing against full BF16 attention truth.

Files

12 × step{NN}_block{MM}.safetensors = 4 attention blocks {0, 33, 34, 39} × 3 denoise steps {0, 20, 39} (these blocks are the forced-BF16-fallback / known-sensitive set from the sparse work; steps span early / mid / late in the 40-step schedule).

Each file contains 4 tensors:

tensor shape dtype meaning
q [8, 75600, 128] BF16 query, HND (heads-first; transposed from the kernel's NHD layout)
k [8, 75600, 128] BF16 key
v [8, 75600, 128] BF16 value
flash_out [8, 75600, 128] BF16 attention output of the BF16 flash kernel on the same q/k/v — the truth

Dimensions: 8 heads = heads 0–7, a deliberate subset of the model's 40 attention heads (routing error is measured per query row and per head independently; the subset keeps the set at ~7 GiB instead of ~35 GiB). S = 75600 = the full post-patchify sequence for 81 frames at 1280×720 — latent grid 21×45×80 (temporal (81−1)/4+1=21, spatial 90×160 latents patched 2×2), with no sequence sharding at the attention call. 128 = head dim (model inner dim 5120 = 40×128). Positive CFG pass only (first pass of each step). All tensors verified finite; per-file shapes/rms/md5 in captures_manifest.json.

Provenance

  • Captured 2026-10-12 with an env-gated in-model hook in a vLLM-Omni-style Wan launch harness, single-card full sequence (no TP). Generation was the MXFP4-weight full-pipeline run; attention at the captured blocks was forced to BF16 flash (the ship "fallback strategy").
  • Use case: replay nucleus routing (keep = max(20% floor, smallest softmax-pool prefix ≥ top_p) at QPOOL 128/256/512) or fixed-k on these q/k/v and measure output error vs flash_out directly, without running the 454 s model.

Ship sparse configs these captures were made around: Wan QPOOL=256 / p=0.875 / floor 20% (model-level frame-cos vs dense 0.8865 mean, 1.16× speedup).

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