zai-org/GLM-V

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2370 stars · 180 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

GLM-V is the open-source repository for Zhipu AI's GLM-4.6V, GLM-4.5V, and GLM-4.1V-Thinking vision-language models, which perform versatile multimodal reasoning trained with scalable reinforcement learning. It provides model weights, inference examples, a VLM reward system, and companion projects like a desktop assistant app and UI2Code.

Use cases

• run a vision-language model to caption and answer questions about images
• understand and reason over video content
• build multimodal AI agents that see screenshots and documents
• convert UI screenshots to code
• fine-tune or evaluate VLMs with a reinforcement learning reward system
• build a desktop assistant that reads the screen via screenshots

When to choose

• you need open-weights multimodal reasoning models for image or video understanding
• you want strong VLM performance with Apache-2.0 licensing for commercial use
• you need grounding, OCR-like extraction, or UI-to-code capabilities from a VLM
• you want to experiment with RL-trained vision-language reasoning

When to avoid

• you only need text-only LLMs without vision capabilities
• you lack GPU hardware for local inference and prefer a hosted API
• you need a lightweight model for edge or mobile deployment

Facets

library · maturity active

machine-learning deep-learning llm-inference computer-vision nlp agent-framework artificial-intelligence machine-learning computer-vision large-language-models python cross-platform vision-language-model multimodal-reasoning reinforcement-learning vlm image-understanding video-understanding image2text open-weights glm natural-language-processing ai-agents gpu linux

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markdown · JSON · MCP: product_card(name="zai-org/GLM-V")