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Found 2 papers, 2 papers with code
CursorCore: Assist Programming through Aligning Anything
In this work, we propose a new conversational framework that comprehensively integrates these information sources, collect data to train our models and evaluate their performance.
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models
Due to the redundancy in LLM weights, recent research has focused on pushing weight-only quantization to extremely low-bit (even down to 2 bits).
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