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awesome-llama: https://github.com/ModelTC/QLLM

llama llama2 llm post-training-quantization pytorch quantization transformers

Score: 4.406719247264253

Last synced: about 18 hours ago
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Repository metadata:

[ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models"


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Committers metadata

Last synced: 16 days ago

Total Commits: 9
Total Committers: 2
Avg Commits per committer: 4.5
Development Distribution Score (DDS): 0.111

Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
liujingcs l****5@o****m 8
XHPlus x****s@1****m 1

Issue and Pull Request metadata

Last synced: 5 months ago

Total issues: 2
Total pull requests: 0
Average time to close issues: N/A
Average time to close pull requests: N/A
Total issue authors: 2
Total pull request authors: 0
Average comments per issue: 0.5
Average comments per pull request: 0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0

Past year issues: 1
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 1
Past year pull request authors: 0
Past year average comments per issue: 0.0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/ModelTC/QLLM

Top Issue Authors

  • sunnyxiaohu (1)
  • shengqihailuo1 (1)

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Dependencies

pyproject.toml pypi
  • accelerate *
  • attributedict *
  • datasets >=2.0.0
  • einops *
  • jsonlines *
  • matplotlib *
  • numexpr *
  • numpy *
  • omegaconf >=2.2
  • openai >=0.6.4
  • peft >=0.2.0
  • protobuf *
  • pybind11 >=2.6.2
  • pycountry *
  • pytablewriter *
  • rouge-score >=0.0.4
  • sacrebleu ==1.5.0
  • scikit-learn >=0.24.1
  • sentencepiece *
  • sqlitedict *
  • texttable *
  • tokenizers >=0.12.1
  • toml *
  • torch >=2.0.0
  • torchvision *
  • tqdm-multiprocess *
  • transformers ==4.37.2
  • zstandard *