phaedawg/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.
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 teacher tensors and head, so a third party can score a new candidate without loading the reference checkpoint. checksums.txt covers every file here.
Candidates by QxQ fidelity (dense model)
This reference has no routed experts, so BxQ and routing intervention metrics are not applicable.
QxQ fidelity against size
The numbers behind the charts are in `kld-vs-size.json`, because a picture is not evidence.