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Efficient-ML/Awesome-Model-Quantization is a GitHub repository that collects papers, documents, and code about model quantization for researchers. It serves as a curated resource hub for model quantization research, featuring sections and linked projects such as MQBench, BiBench, surveys, and related efforts like Awesome Efficient LLM Diffusion. The project encourages community contributions and PRs to include works the authors may have missed, emphasizing ongoing improvement.
AI named Awesome Model Quantization in December 2025.