ChatGLM-6B is an open source, bilingual conversational language model based on the General Language Model (GLM) architecture with 6.2 billion parameters. Combined with model quantization techniques, it can be deployed locally on consumer-grade graphics cards (as low as 6GB of video memory at INT4 quantization level). ChatGLM-6B uses similar technology to ChatGPT, optimized for Chinese Q&A and conversation. With approximately 1T identifiers trained in both English and Chinese, and supported by supervised fine-tuning, feedback self-help, and human feedback reinforcement learning, ChatGLM-6B with 6.2 billion parameters is able to generate responses that are fairly consistent with human preferences.