datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
qwen3.6-27b-distribution-fidelity-768x2048-v1
Qwen3.6-27B quantization analysis
Mean KL divergence against on-disk size
Scored under the distribution-fidelity laws, version 15. Read LAWS.md first: these numbers are comparable only within this artifact's token suite, geometry, and runtime identity, and not against any number produced elsewhere.
Each candidate directory holds its one-pager (report.md), its raw report, its compliance receipt, and its Law 14 attribution where one was produced. reference/ carries the reusable… See the full description on the dataset page: https://huggingface.co/datasets/phaedawg/qwen3.6-27b-distribution-fidelity-768x2048-v1.kimi-k3-distribution-fidelity-1024x2048-v1
Kimi K3 distribution-fidelity reference
Status
The artifact is qualified for paired, teacher-forced comparison of Kimi K3
compressed checkpoints against the official MXFP4 checkpoint. It contains
1,024 distinct 2,048-token source contexts and 2,096,128 scored next-token
positions.
The primary metric is:
KL(official MXFP4 distribution || candidate distribution)
The reference stores BF16 hidden states after final RMSNorm and before the
language-model head.… See the full description on the dataset page: https://huggingface.co/datasets/festr2/kimi-k3-distribution-fidelity-1024x2048-v1.gemma-4-31b-it-qat-q4_0-unquantized-distribution-fidelity-768x2048-v1
gemma-4-31B-it-qat-q4_0-unquantized quantization analysis
Mean KL divergence against on-disk size
Scored under the distribution-fidelity laws, version 15. Read LAWS.md first: these numbers are comparable only within this artifact's token suite, geometry, and runtime identity, and not against any number produced elsewhere.
Each candidate directory holds its one-pager (report.md), its raw report, its compliance receipt, and its Law 14 attribution where one was produced. reference/… See the full description on the dataset page: https://huggingface.co/datasets/phaedawg/gemma-4-31b-it-qat-q4_0-unquantized-distribution-fidelity-768x2048-v1.qwen3.8-27b-distribution-fidelity-768x2048-v1
Qwen3.8-27B quantization analysis
Mean KL divergence against on-disk size
Scored under the distribution-fidelity laws, version 15. Read LAWS.md first: these numbers are comparable only within this artifact's token suite, geometry, and runtime identity, and not against any number produced elsewhere.
Each candidate directory holds its one-pager (report.md), its raw report, its compliance receipt, and its Law 14 attribution where one was produced. reference/ carries the reusable… See the full description on the dataset page: https://huggingface.co/datasets/phaedawg/qwen3.8-27b-distribution-fidelity-768x2048-v1.gemma-4-26b-a4b-it-distribution-fidelity-768x2048-v1
gemma-4-26B-A4B-it quantization analysis
Mean KL divergence against on-disk size
Scored under the distribution-fidelity laws, version 15. Read LAWS.md first: these numbers are comparable only within this artifact's token suite, geometry, and runtime identity, and not against any number produced elsewhere.
Each candidate directory holds its one-pager (report.md), its raw report, its compliance receipt, and its Law 14 attribution where one was produced. reference/ carries the… See the full description on the dataset page: https://huggingface.co/datasets/phaedawg/gemma-4-26b-a4b-it-distribution-fidelity-768x2048-v1.qwen3.6-35b-a3b-distribution-fidelity-768x2048-v1
Qwen3.6-35B-A3B quantization analysis
Mean KL divergence against on-disk size
Scored under the distribution-fidelity laws, version 15. Read LAWS.md first: these numbers are comparable only within this artifact's token suite, geometry, and runtime identity, and not against any number produced elsewhere.
Each candidate directory holds its one-pager (report.md), its raw report, its compliance receipt, and its Law 14 attribution where one was produced. reference/ carries the… See the full description on the dataset page: https://huggingface.co/datasets/phaedawg/qwen3.6-35b-a3b-distribution-fidelity-768x2048-v1.distribution-fidelity-index
Local Inference Lab: distribution-fidelity index
Every published one-pager, with a pointer to the full artifact that backs it. Each artifact repo carries the token suite and the reusable reference tensors, so a third party can score a new candidate without loading the reference checkpoint.
Read LAWS.md, currently version 15, before comparing anything here. Numbers are comparable only within a single artifact's suite, geometry, and runtime identity. Each one-pager cites the laws… See the full description on the dataset page: https://huggingface.co/datasets/phaedawg/distribution-fidelity-index.