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@@ -23,6 +23,7 @@ This repository mainly focus on the evaluation of GLM-130B, the training part is
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## News
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+- **[2023.03.14]** We are happy to introduce [ChatGLM](https://chatglm.cn/blog), a bilingual dialogue language model based on GLM-130B, and its open-sourced version [ChatGLM-6B](https://github.com/THUDM/ChatGLM-6B) which can be run under only **6GB** GPU memory!
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- **[2023.01.21]** GLM-130B has been accepted to [ICLR 2023](https://iclr.cc/Conferences/2023)!
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- **[2022.10.06]** Our [paper](http://arxiv.org/abs/2210.02414) for GLM-130B is out!
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- **[2022.08.24]** We are proud to publish the quantized version for GLM-130B. While preserving the activation precision as FP16, the model weights can be quantized to as low as **INT4 with almost no degradation of performance**, further reducing the hardware requirements of the GLM-130B to **a single server with 4 * RTX 3090 (24G)**! See [Quantization of GLM-130B](docs/quantization.md) for details.
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Shaw