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1. [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.

   Python 892 77

2. [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models

   Python 336 30

3. An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization

   Python 170 16

4. (AAAI 2023 Oral) Pytorch implementation of "CF-ViT: A General Coarse-to-Fine Method for Vision Transformer"

   Python 107 8

5. [ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging techniques, while incorporating a differentiable compression rate.

   Jupyter Notebook 103 7

6. A framework to compare low-bit integer and float-point formats

   Python 74 7