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dataset card: describe logprobs/, kld json, aggregate, amax
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---
license: mit
tags: [atomic-chat, deepseek, nvfp4, metrics]
---
# DeepSeek-V4.1-Flash-NVFP4 metrics
Everything behind the numbers in [AtomicChat/DeepSeek-V4.1-Flash-NVFP4-nvidia](https://huggingface.co/AtomicChat/DeepSeek-V4.1-Flash-NVFP4-nvidia).
- `logprobs/lp-<run>-<corpus>.npz`: the raw top-512 log probabilities of every measurement run, 49,152 scored
positions each: `ref`, `ref-repeat`, `ref-r3`, `ref-b1` (batch size 1) for the original; `flat`, `flat-r2`,
`flat-r3` for the uncalibrated cast; `nvidia`, `nvidia-r2`, `nvidia-r3` for the calibrated checkpoint.
- `logs/kld-<run>-<corpus>.json`: the KL lower bound per run against `ref`, coarsened on the set common to all ten
runs, with per-window means and window-bootstrap intervals (`nvfp4_kld.py`).
- `logs/aggregate.txt` and `aggregate.py`: per-build means over runs, run-to-run spread, paired comparisons.
- `logs/coverage-*.json`, `amax/`: calibration coverage and the raw amax dumps, enough to re-export without
recalibrating.
- `logs/step-*.log`, `logs/progress.log`: every step of the run.
Produced by [atomic-quantizer/scripts/foundry-nvfp4.sh](https://github.com/AtomicBot-ai/atomic-quantizer/blob/main/scripts/foundry-nvfp4.sh)
on 4×B200, 2026-09-10; the runbook explains the protocol and why the KL is a lower bound.