Read our How to Run GLM 4.6V Flash Guide! Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants. GLM 4.6V This model is part of the GLM V family of models, introduced in the paper GLM 4.1V Thinking and GLM 4.5V: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning. GLM 4.6V Blog : https://z.ai/blog/glm 4.6v Paper : https://huggingface.co/papers/2507.01006 GitHub Repository : https://github.com/zai org/GLM V Online Demo : https://chat.z.ai/ API Access : Z.ai Open Platform Desktop Assistant App : https://huggingface.co/spaces/zai org/GLM 4.5V Demo App Introduction GLM 4.6V series model includes two versions: GLM 4.6V (106B), a foundation model designed for cloud and high performance cluster scenarios, and GLM 4.6V Flash (9B), a lightweight model optimized for local deployment and low latency applications. GLM 4.6V scales its context window to 128k tokens in training, and achieves SoTA performance in visual understanding among models of similar parameter scales. Crucially, we integrate native Function Calling capabilities for the first time. This effectively bridges the gap between "visual perception" and "executable action" providing…
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