Shypd.aiThe largest open index of AI toolsSINQ is an Open Source & Models tool that quantizes Large Language Models to reduce their size while preserving accuracy. It offers a fast, plug-and-play, and model-agnostic approach for efficient LLM deployment.
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SINQ (Sinkhorn-Normalized Quantization) is a novel, fast, and high-quality quantization method designed to make any Large Language Model smaller while preserving accuracy. It allows users to deploy models that would otherwise be too large, drastically reducing memory usage. SINQ offers both calibration-free (SINQ) and calibrated (A-SINQ) versions, providing state-of-the-art performance. It is integrated into Hugging Face Transformers for simplified use and supports saving and reloading quantized models. SINQ boasts significantly faster quantization speeds compared to alternatives like HQQ and AWQ, making it an efficient solution for LLM optimization.
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