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KikoCis
/
vq-llm-compression

MLX
English
quantization
vector-quantization
llm-compression
research
methodology
Model card Files Files and versions
xet
Community

Instructions to use KikoCis/vq-llm-compression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use KikoCis/vq-llm-compression with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    huggingface-cli download --local-dir vq-llm-compression KikoCis/vq-llm-compression
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
vq-llm-compression
45.6 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
KikoCis's picture
KikoCis
Link RAB leaderboard
44307b4 verified 17 days ago
  • .gitattributes
    1.52 kB
    initial commit 17 days ago
  • README.md
    8.08 kB
    Link RAB leaderboard 17 days ago
  • requirements.txt
    35 Bytes
    VQ for LLM weights: article + reproducible code 17 days ago
  • vq_compress.py
    5.72 kB
    VQ for LLM weights: article + reproducible code 17 days ago
  • vq_load.py
    2.91 kB
    VQ for LLM weights: article + reproducible code 17 days ago
  • vq_pack.py
    4.78 kB
    VQ for LLM weights: article + reproducible code 17 days ago
  • vq_residual_lever.py
    5.84 kB
    VQ for LLM weights: article + reproducible code 17 days ago
  • vq_stacked_ppl.py
    5.93 kB
    VQ for LLM weights: article + reproducible code 17 days ago
  • vq_stacked_sweep.py
    4.95 kB
    VQ for LLM weights: article + reproducible code 17 days ago
  • vq_sweep.py
    5.85 kB
    VQ for LLM weights: article + reproducible code 17 days ago