Summary
This news highlights research suggesting that highly quantized large language models, specifically 2-bit and potentially 1-bit versions, may perform better than anticipated. Benchmarks on Qwen 397B showed 2-bit quantization performing surprisingly close to 4-bit, indicating significant potential for reducing memory and computational demands. While results varied with other models, this finding could greatly enhance the accessibility and local deployment of powerful LLMs.
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