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0e8f223e35b72eb327939cac01d5084e4223de520cdcfe0ebe0e98a5ca660eef
malaiwah.fidelity-structural-validation.v1
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dataset:fidelity--ddb0a2bd89f1b76a3740f9f307d11372
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HF workflow ddb0a2bd89f1b76a3740f9f307d11372

A root fidelity dataset in hidden form, produced by engines/tools/hf_capture.py from malaiwah/glm-moe-dsa-tiny-random-bf16.

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 4
scored positions 252
context length 64
hidden width 64
vocab size 260
capture bytes (hidden form) 33404
the same capture in logit form would be 262080 bytes (8x)
scope policy native
lane other

Does the model still generate sensibly

The capital of France is -> (p=0.0067, entropy 5.548 of a possible 5.561 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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