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@@ -22,7 +22,7 @@ GLM-130B is an open bilingual (English & Chinese) bidirectional dense model with
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This repository mainly focus on the evaluation of GLM-130B. If you find our work and our open-sourced efforts useful, ⭐️ to encourage our following development! :)
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## News
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-- **[2023/06/25]** Release [ChatGLM2-6B](https://github.com/THUDM/ChatGLM2-6B), an updated version of [ChatGLM-6B](https://github.com/THUDM/ChatGLM-6B) which introduces **Stronger Performance** (MMLU (+23%), CEval (+33%), GSM8K (+571%), BBH (+60%)), **Longer Context** (from 2K in ChatGLM-6B to 32K, and trained with a context length of 8K during the dialogue alignment), and **More Efficient Inference** (speeds up by 42% under the official implementation; the dialogue length supported by 6G GPU memory has increased from 1K to 8K). More details please refer to [ChatGLM2-6B](https://github.com/THUDM/ChatGLM2-6B)。
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+- **[2023.06.25]** Release [ChatGLM2-6B](https://github.com/THUDM/ChatGLM2-6B), an updated version of [ChatGLM-6B](https://github.com/THUDM/ChatGLM-6B) which introduces **Stronger Performance** (MMLU (+23%), CEval (+33%), GSM8K (+571%), BBH (+60%)), **Longer Context** (from 2K in ChatGLM-6B to 32K, and trained with a context length of 8K during the dialogue alignment), and **More Efficient Inference** (speeds up by 42% under the official implementation; the dialogue length supported by 6G GPU memory has increased from 1K to 8K). More details please refer to [ChatGLM2-6B](https://github.com/THUDM/ChatGLM2-6B)。
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- **[2023.06.14]** We release the research [WebGLM](https://github.com/THUDM/WebGLM), which enables efficient and accurate web-enhanced question answering. All code and data are released!
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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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