Datasets:
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Download README.md from yamahei21/uzu-quant-kit: direct link, hf CLI and curl.
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1.47 kB
metadata
license: cc-by-sa-4.0
tags:
- quantization
- corpora
- japanese
- wikitext
uzu quant kit
Public, model-free kit for reproducing uzu/lalamo INT4 quantization experiments.
Licensing (dual)
| part | license |
|---|---|
scripts/ (lalamo/uzu tooling) |
MIT (see the uzu repository) |
data/ (derived corpora) |
CC BY-SA 4.0 |
configs/, tests/, lanes/ |
MIT |
The corpora are not public domain. They are derived from:
- WikiText-2 (
Salesforce/wikitext, CC BY-SA 4.0) - Japanese Wikipedia (
wikimedia/wikipedia20231101.ja, CC BY-SA 4.0, Wikimedia Foundation)
Redistribution and derivatives keep CC BY-SA 4.0 and attribution requirements.
Contents
scripts/ rht_int4_convert, yaqa_calibration, eval_quantized, qad_finetune, compute_bpc,
merge_language_hessians, dedup/corpus guards, run_lane, audit helpers
configs/ experiments/qwen35-{0.8b,4b,9b}/config.json
lanes/ pre-built experiment specs (smoke, clean-suite, balanced-h, robustness shards)
tests/ model-free guard tests
data/ dedup calibration and eval corpora
Rules the scripts enforce
- calibration and eval corpora must not overlap (
corpus_guard) - eval reports
config_hash,corpus_sha256, chunks, tokens, chars, BPC - QAD refuses a student without provenance (
overlap_checked)
Not included
Model weights. See the Hugging Face model repos for the INT4 checkpoints.
Repository: https://github.com/yamahei21python/uzu