ChatGLM-6B is an open-source, Chinese-English bilingual dialogue language model based on the General Language Model (GLM) architecture with 6.2 billion parameters. Combined with model quantization technology, users can deploy locally on consumer-grade graphics cards (only 6GB of video memory is required at the INT4 quantization level). ChatGLM-6B uses technology similar to ChatGPT, optimized for Chinese Q&A and dialogue. After about 1T identifiers of Chinese and English bilingual training, supplemented by supervision and fine-tuning, feedback self-help, human feedback reinforcement learning and other technologies, ChatGLM-6B with 6.2 billion parameters has been able to generate answers that are quite in line with human preferences. For more information, please refer to our blog.
In order to facilitate downstream developers to customize models for their own application scenarios, we have also implemented an efficient parameter fine-tuning method (use guide) based on P-Tuning v2. Under the INT4 quantization level, only 7GB of video memory is required to start fine-tuning.
However, due to the small size of ChatGLM-6B, it is currently known to have considerable limitations, such as factual/mathematical logic errors, possible generation of harmful/biased content, weak contextual ability, self-awareness confusion, and Generate content that completely contradicts Chinese instructions for English instructions. Please understand these issues before use to avoid misunderstandings. A larger ChatGLM based on the 130 billion parameter GLM-130B is in beta development.
Visit Official Website