This is stars and forks stats for /casper-hansen/AutoAWQ repository. As of 09 May, 2024 this repository has 256 stars and 25 forks.
AutoAWQ | Roadmap | Examples | Issues: Help Wanted | AutoAWQ is an easy-to-use package for 4-bit quantized models. AutoAWQ speeds up models by 2x while reducing memory requirements by 3x compared to FP16. AutoAWQ implements the Activation-aware Weight Quantization (AWQ) algorithm for quantizing LLMs. AutoAWQ was created and improved upon from the original work from MIT. Latest News 🔥 [2023/10] Mistral (Fused Modules), Bigcode, Turing support,...
AutoAWQ | Roadmap | Examples | Issues: Help Wanted | AutoAWQ is an easy-to-use package for 4-bit quantized models. AutoAWQ speeds up models by 2x while reducing memory requirements by 3x compared to FP16. AutoAWQ implements the Activation-aware Weight Quantization (AWQ) algorithm for quantizing LLMs. AutoAWQ was created and improved upon from the original work from MIT. Latest News 🔥 [2023/10] Mistral (Fused Modules), Bigcode, Turing support,...
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