374ded5ea4
* Fix white space Signed-off-by: Yuanyuan Chen <cyyever@outlook.com> * Revert changes Signed-off-by: Yuanyuan Chen <cyyever@outlook.com> * Fix autodoc Signed-off-by: Yuanyuan Chen <cyyever@outlook.com> --------- Signed-off-by: Yuanyuan Chen <cyyever@outlook.com>
3.5 KiB
This model was released on 2025-07-28 and added to Hugging Face Transformers on 2025-08-08.
Glm4vMoe
Overview
Vision-language models (VLMs) have become a key cornerstone of intelligent systems. As real-world AI tasks grow increasingly complex, VLMs urgently need to enhance reasoning capabilities beyond basic multimodal perception — improving accuracy, comprehensiveness, and intelligence — to enable complex problem solving, long-context understanding, and multimodal agents.
Through our open-source work, we aim to explore the technological frontier together with the community while empowering more developers to create exciting and innovative applications.
GLM-4.5V (Github repo) is based on ZhipuAI’s next-generation flagship text foundation model GLM-4.5-Air (106B parameters, 12B active). It continues the technical approach of GLM-4.1V-Thinking, achieving SOTA performance among models of the same scale on 42 public vision-language benchmarks. It covers common tasks such as image, video, and document understanding, as well as GUI agent operations.
Beyond benchmark performance, GLM-4.5V focuses on real-world usability. Through efficient hybrid training, it can handle diverse types of visual content, enabling full-spectrum vision reasoning, including:
- Image reasoning (scene understanding, complex multi-image analysis, spatial recognition)
- Video understanding (long video segmentation and event recognition)
- GUI tasks (screen reading, icon recognition, desktop operation assistance)
- Complex chart & long document parsing (research report analysis, information extraction)
- Grounding (precise visual element localization)
The model also introduces a Thinking Mode switch, allowing users to balance between quick responses and deep reasoning. This switch works the same as in the GLM-4.5 language model.
Glm4vMoeConfig
autodoc Glm4vMoeConfig
Glm4vMoeTextConfig
autodoc Glm4vMoeTextConfig
Glm4vMoeTextModel
autodoc Glm4vMoeTextModel - forward
Glm4vMoeModel
autodoc Glm4vMoeModel - forward
Glm4vMoeForConditionalGeneration
autodoc Glm4vMoeForConditionalGeneration - forward