---
license: mit
tags:
- fidelity
- kl-divergence
- fidelity-provenance
- fidelity-dataset
- fidelity-quant
x_fidelity:
  spec: https://github.com/malaiwah/quant-fidelity-suite/blob/main/docs/FIDELITY-DATASET-SPEC.md
  spec_version: fidelity-provenance/v1
  role: fidelity-dataset
  captured_model:
    repository: incoai/GLM-5.3-NVFP4
    revision: 54e52520606f96b3d9fc84088ad22882a61648ac
    role: quant
  form: hidden
  lane: streaming
  panel:
    panel_id: panel--glm53.malaiwah.corpus5x5-v1
    suite_token_hash_sha256: f09ee395f635225a077695ed193d61f7d1e70650cebe1b68f82b16f59d399f86
    contexts: 25
    scored_positions: 51175
    repository: null
    revision: null
  head:
    policy: native
    quantized: false
    bits: 16
    lm_head_tensor_content_sha256: 864f488a0074d236062a4f24800940df7ba611dba76238d4f9f847d9659e11cd
    lm_head_file_sha256: f722d591417749cee9de8ceb977b5f11cf5a1254e2dbf6409df9d170ac3be9b5
    final_norm_tensor_content_sha256: null
    final_norm_file_sha256: null
    equality_receipt: null
    replay_permitted: true
  scope_digest: attn.o=native:bf16@16|attn.other=native:bf16@16|attn.qkv=native:bf16@16|embed_tokens=native:bf16@16|lm_head=native:bf16@16|mlp.down=native:bf16@16|mlp.gate=native:bf16@16|mlp.up=native:bf16@16|moe.experts=quantized:nvfp4@4|moe.router=native:mixed|moe.shared_expert=native:bf16@16|mtp=native:mixed|norm=native:bf16@16|head=native|kv=bf16
  seal:
    manifest: fidelity-dataset.json
    dataset_sha256: null
    checksums: checksums.txt
    checksums_sha256: '0000000000000000000000000000000000000000000000000000000000000000'
    note: 'written before the seal: dataset_sha256 and checksums_sha256 are digests of the tree this file
      is inside, so they cannot appear in it. Read them from fidelity-dataset.json.'
  interop:
    compatible_with:
    - kimi-k3-distribution-fidelity/1
    k3_compat_emitted: false
  registry:
    dataset: malaiwah/quant-fidelity-registry
    schema_version: quant-fidelity-registry/v1
    artifact_id: null
    measurement_ids: []
    snapshot: null
  fidelity_dataset:
    repository: malaiwah/glm53-fidelity-nvfp4-incoai-v1
    revision: null
    dataset_sha256: null
    capture_content_digest: ba15dfe4de3e9b8dfeb9b23461aa894b541dbd19f1560ec2d49cb0f8e7989d40
    form: hidden
    role: quant
  measurements: []
---
# fidelity--glm53.malaiwah.quant.nvfp4-incoai

A **quant** fidelity dataset in **hidden form**, produced by `engines/tools/hf_capture.py` from `incoai/GLM-5.3-NVFP4`.

## 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=0.2877, entropy 3.638 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>