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 ...
Abstract: Large language models (LLMs) trained on code-completion have been shown to be capable of synthesizing simple Python programs from docstrings [1]. We find that these code-writing LLMs can be ...
Abstract: Large language models (LLMs), such as GPT-4 have demonstrated their ability to understand natural language and generate complex code snippets. This article introduces a novel LLM ...
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