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GLM-130B
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GLM-130B/quantization
Sengxian 28e449b79f Update quantization docs and scripts 1 year ago
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__init__.py Fix quantization argument bug 1 year ago
functional.py Add 4-bit quantization and CUDA kernels 1 year ago
layers.py Update quantization docs and scripts 1 year ago
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GLM-130B 是一个开源开放的双语（中文和英文）双向稠密模型，基于 GLM 架构，拥有 1300 亿参数。它旨在支持在一台 A100（40G * 8） 或 V100（32G * 8）服务器上对千亿规模参数的模型进行推理。

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