GitHub - THUDM/ChatGLM-6B: ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

🚀 Explore ChatGLM-6B: an open-source bilingual conversation model with 62B parameters for Chinese Q&A and dialog. Features code interpreter, 6GB VRAM deployment, and versatile API for diverse AI tools. 🤖💬 #AI #ChatGLM-6B #OpenSource

ChatGLM-6B is an open-source bilingual conversation language model with 62 billion parameters optimized for Chinese Q&A and dialogue.
It underwent training on around 1T bilingual identifiers with supervised fine-tuning, self-feedback, and human feedback reinforcement.
Features include code interpreter, function call, and agent tasks.
ChatGLM-6B has 6GB VRAM deployment capability at INT4 quantization level.
Utilizes similar techniques as ChatGPT with a focus on Chinese Q&A and dialog optimization.
Released CodeGeeX2 model with enhanced code capabilities trained on 600B code data.
Introduced ChatGLM2-6B version with improved performance and longer context length.
Offers web-based vision understanding model VisualGLM-6B supporting multi-modal dialogue.
Provides API for model deployment with hardware and quantization level requirements.
Developed for enhancing programming assistance and various AI programming tools.
Specifies concerns such as model limitations, including small capacity and vulnerability to misleading information.
Model training influenced by Chinese instructions, leading to discrepancies in English responses.
Emphasizes the need for parameter quantization for efficient GPU memory usage.