--- 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--.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--.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 with two intervals, bootstrap over windows only and over windows and runs. - `logs/cast-check.py`, `logs/cast-check.txt`: element-wise MXFP4 → NVFP4 check on 12 experts × 3 projections. - `logs/corpora-sha256.txt`: the measurement corpora as used, with a note that `agentic` is Muse Glimmer markup. - `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.