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fd7ccc37475e82100c855de4f8a96db1f2323319df90c09218fa533c71f80d04
malaiwah.fidelity-structural-validation.v1
sealed
dataset:fidelity--glm53.malaiwah.quant.exl3-tr3-30
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[]

fidelity--glm53.malaiwah.quant.exl3-tr3-30

A quant fidelity dataset in hidden form, produced by engines/tools/hf_capture.py from davidsyoung/GLM-5.3-EXL3-TR3-3.0bpw.

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 25
scored positions 51175
context length 2048
hidden width 6144
vocab size 154880
capture bytes (hidden form) 628845100
the same capture in logit form would be 31703936000 bytes (50x)
scope policy mixed
lane streaming

Does the model still generate sensibly

The capital of France is -> Paris (p=0.3018, entropy 3.559 of a possible 11.950 nats). Enforced against 'Paris'. One extra window through the same schedule; its hidden state was discarded and is not part of this dataset.

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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