GLM-4 is a large language model and fine-tuning framework designed for human-like text production, complex reasoning, and multilingual conversation. It functions as a multimodal system capable of processing high-resolution visual content and as a long-context model designed to analyze documents with a context window of up to one million tokens.
The project differentiates itself through a function calling interface that enables AI agent development by connecting the model to external APIs and real-time web browsing. It includes specialized capabilities for generating functional programming code, SVG graphics, and performing research-style synthesis.
The framework covers a broad capability surface including supervised model training with distributed GPU acceleration, model adapter deployment, and NPU-targeted inference. It provides tools for multi-turn dialogue management, visual reasoning, and a code execution environment for verifying mathematical and logical results.
The model can be hosted via an OpenAI-compatible API interface for integration into other applications.
