nvfp4
Datasets
All datasets matching “nvfp4”DeepSeek-V4.1-Flash-NVFP4-metrics
DeepSeek-V4.1-Flash-NVFP4 metrics
Everything behind the numbers in 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… See the full description on the dataset page: https://huggingface.co/datasets/AtomicChat/DeepSeek-V4.1-Flash-NVFP4-metrics.glm52-fidelity-nvfp4-nvidia-v1
fidelity--glm52.malaiwah.quant.nvfp4-nvidia
A quant fidelity dataset in hidden form, produced by engines/tools/hf_capture.py from nvidia/GLM-5.2-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… See the full description on the dataset page: https://huggingface.co/datasets/malaiwah/glm52-fidelity-nvfp4-nvidia-v1.nemotron-super-120b-nvfp4-imo-answerbenchglm-5.2-nvfp4-agentic-traces
GLM-5.2 NVFP4 agentic software traces
This snapshot contains 1,989 completed Verifiers invocation records generated
with RedHatAI/GLM-5.2-NVFP4-FP8.
manifest.jsonl is a compact index for filtering and inspection.
data/<arm>.jsonl contains the exact full graph records emitted by Verifiers.
configs/<arm>.toml contains the resolved configuration for each arm.
The snapshot retains successes, failures, truncations, and scoring metadata.
Use solved, reward, has_error, failure_labels… See the full description on the dataset page: https://huggingface.co/datasets/synquid/glm-5.2-nvfp4-agentic-traces.minimax-h3-nvfp4-data
MiniMax-H3 NVFP4 Data
Large data for the NVFP4 static sparse attention experiment (2026-09-11).
Project entry point: H3 Attention Lab.
The project README contains result tables, audit limitations, source code, small evidence files, and public download instructions.
This revision contains 84 data files (752,104,680 bytes):
70 generated videos: experiment/outputs/*/*/quality.mp4
3 comparison videos: experiment/comparisons/*__e2e_comparison.mp4
10 reference videos:… See the full description on the dataset page: https://huggingface.co/datasets/Zer0-Sky/minimax-h3-nvfp4-data.Inkling-Small-NVFP4-Regenerated-Collection
Inkling-Small-NVFP4 Regenerated Collection
On-policy training data for a DSpark
speculative-decoding drafter targeting
thinkingmachines/Inkling-Small-NVFP4.
Every assistant response here was regenerated by Inkling-Small-NVFP4 itself over prompts
drawn from Magpie + UltraChat, so the completions reflect the target model's own
distribution rather than the datasets' original responses. This is what makes the data
on-policy for drafter training: the drafter learns to predict the… See the full description on the dataset page: https://huggingface.co/datasets/orestis-z/Inkling-Small-NVFP4-Regenerated-Collection.