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OpenGVLab/EfficientQAT

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EfficientQAT

Features

  • Quantization Frameworks - Efficient quantization-aware training for large language models.

Star history

Star history chart for opengvlab/efficientqatStar history chart for opengvlab/efficientqat

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What are the main features of opengvlab/efficientqat?

The main features of opengvlab/efficientqat are: Quantization Frameworks.

Which projects share features with opengvlab/efficientqat?

Projects with overlapping indexed features include: 1hunters/limpq. 42shawn/causal-dfq. aaronhuang-778/billm. aaronhuang-778/slim-llm. aldakata/trainingdynamicsquantizationrobustness. 1adrianb/expert-binary-networks.

Projects sharing features with EfficientQAT

These projects share indexed features with EfficientQAT. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • 1hunters/limpq1

    1hunters/LIMPQ

    0View on GitHub↗
    View on GitHub↗0
  • 42shawn/causal-dfq4

    42Shawn/Causal-DFQ

    0View on GitHub↗
    View on GitHub↗0
  • aaronhuang-778/billmA

    Aaronhuang-778/BiLLM

    0View on GitHub↗
    View on GitHub↗0
  • 1adrianb/expert-binary-networks1

    1adrianb/expert-binary-networks

    0View on GitHub↗
    View on GitHub↗0
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