Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...
The chips that datacenters use to run the latest AI breakthroughs generate much more heat than previous generations of silicon. Anybody whose phone or laptop has overheated knows that electronics ...
Informal natural language that describes code functionality, such as code comments or function documentation, may contain substantial information about a programs intent. However, there is typically ...
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