Quantization Degradation in Large Language Models: A Signal-Noise Perspective — mentioned by nsagent

Sun, 04 Oct 2026 13:54:56 GMT

See this recent paper: Quantization Degradation in Large Language Models: A Signal–Noise Perspective [1]. We observe that such degradation varies substantially across these factors: 4-bit quantization usually preserves performance, 2-bit often causes broad degradation This repo uses 2-bit quantization and removes some of the experts for its smallest fastest model. Make of that what you will. [1]: https://arxiv.org/abs/2608.08188

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Quantization Degradation in Large Language Models: A Signal-Noise Perspective — mentioned by nsagent