ChatGLM is an open bilingual language model based on General Language Model framework. With the quantization technique, users can deploy locally on consumer-grade graphics cards.
How ChatGLM works
ChatGLM uses technology similar to ChatGPT, optimized for Chinese QA and dialogue. The model is trained for about 1T tokens of Chinese and English corpus, supplemented by supervised fine-tuning, feedback bootstrap, and reinforcement learning wit human feedback. With only about 6.2 billion parameters, the model is able to generate answers that are in line with human preference.
In order to facilitate downstream developers to customize the model for their own application scenarios, we also implements an parameter-efficient tuning method based on P-Tuning v2 (Guidelines).
ChatGLM weights are completely open for academic research, and free commercial use is also allowed after completing the questionnaire.
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