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0c6d1cc1b6fccf672a56dc4c90b6c9ca258188e82af9ee257554e1f28cba885d
malaiwah.fidelity-structural-validation.v1
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dataset:fidelity--a1ec5246f3ef11d323425ae8a9ea47ef
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HF workflow a1ec5246f3ef11d323425ae8a9ea47ef

A root fidelity dataset in hidden form, produced by engines/tools/hf_capture.py from Qwen/Qwen3.8-27B.

The cut

the final hidden state handed to lm_head -- after the text model's final norm and immediately before the head matmul -- captured as the head module's input via torch.nn.Module.register_forward_pre_hook; replay applies the head ONLY (no final norm at replay time: the capture already sits after it). Same cut as engines/tools/hidden_replay.py and as Festr's kimi-k3 hidden-replay qualification.

What is here

records 512
scored positions 1048064
context length 2048
hidden width 5120
vocab size 248320
capture bytes (hidden form) 10732326400
the same capture in logit form would be 1041021009920 bytes (97x)
scope policy native
lane other

Does the model still generate sensibly

The capital of France is -> Paris (p=0.6155, entropy 2.304 of a possible 12.422 nats). Recorded, not enforced. One extra window through the same schedule; its hidden state was discarded and is not part of this dataset.

License

This dataset redistributes the captured model's native output-head weights. The source license and required notice are reproduced byte-for-byte in LICENSE.

How to check it

bin/fidelity-dataset verify <this directory>

Full specification: https://github.com/malaiwah/quant-fidelity-suite/blob/main/docs/FIDELITY-DATASET-SPEC.md

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