GLM

Overview

GLM is an open-source repository of Chinese conversational models from Tsinghua THUDM, with the core project ChatGLM-6B. The GitHub repo provides model weights, training and deployment code to enable local inference, fine-tuning, and further development.

Core features and highlights

• Chinese conversational understanding and generation: optimized for Chinese contexts, producing smooth, natural responses
• Provides complete scripts for training, fine-tuning, quantization, and inference, supporting production deployment
• Supports GPU/CPU inference and lightweight deployment options

Use cases and target users

Suitable for customer service bots, knowledge-base Q&A, online education, prototyping, and research/testing. Target users include researchers, AI engineers, product managers, and teams that want to deploy or customize models locally.

Key advantages or highlights

Open and transparent, well-documented with examples, strong Chinese-language performance, easy to customize and integrate, and provides a full toolchain from training to production.