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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
GLM-4.6V/4.5V/4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
| Date | Stars |
|---|---|
| 2026-07-24 | 2357 |
| 2026-07-25 | 2359 |
| 2026-07-28 | 2361 |
| 2026-07-30 | 2363 |
| 2026-08-02 | 2363 |
| 2026-08-04 | 2362 |
| 2026-08-06 | 2362 |
Today
— stars today
This week
-1 stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# GLM-V
[中文阅读.](./README_zh.md)
<div align="center">
<img src=resources/logo.svg width="40%"/>
</div>
<p align="center">
👋 Join our <a href="resources/WECHAT.md" target="_blank">WeChat</a> and <a href="https://discord.gg/eQbGCYS9ym" target="_blank">Discord</a> communities.
<br>
📖 Check out the GLM-4.6V <a href="https://z.ai/blog/glm-4.6v" target="_blank">blog</a> and GLM-4.5V & GLM-4.1V <a href="https://arxiv.org/abs/2507.01006" target="_blank">paper</a>.
<br>
📍 Try <a href="https://chat.z.ai/" target="_blank">online</a> or use the <a href="https://docs.z.ai/guides/vlm/glm-4.6v" target="_blank">API</a>.
</p>
## Introduction
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.
**This open-source repository contains our `GLM-4.6V`, `GLM-4.5V` and `GLM-4.1V` series models.** For performance and
details, see [Model Overview](#model-overview). For known issues,
see [Fixed and Remaining Issues](#fixed-and-remaining-issues).
## Project Updates
- **News**: `2026/04/02`: We released [GLM-5V-Turbo](https://docs.z.ai/guides/vlm/glm-5v-turbo)
and [GLM-skills](https://github.com/zai-org/GLM-skills).
- **News**: `2026/03/28`: We have released multiple GLM-V related Skills, covering several specialized areas
such as GLM-V-Grounding and GLM-V-Prompt-Gen. You are welcome to try them [here](skills).
- **News**: `2025/11/10`: We released **UI2Code^N**, a RL-enhanced UI coding model with UI-to-code, UI-polish, and
UI-edit capabilities. The model is trained based on `GLM-4.1V-Base`. Check it
out [here](https://huggingface.co/zai-org/UI2Code_N).
- **News**: `2025/10/27`: We’ve released **Glyph**, a framework for scaling the context length through visual-text
compression, the glyph model trained based on `GLM-4.1V-Base`. Check it
out [here](https://huggingface.co/zai-org/Glyph).
- **News**: `2025/08/11`: We released **GLM-4.5V** with significant improvements across multiple benchmarks. We also
open-sourced our handcrafted **desktop assistant app** for debugging. Once connected to GLM-4.5V, it can capture
visual information from your PC screen via screenshots or screen recordings. Feel free to try it out or customize it
into your own multimodal assistant. Click [here](https://huggingface.co/spaces/zai-org/GLM-4.5V-Demo-App) to download
the installer or [build from source](examples/vllm-chat-helper/README.md)!
- **News**: `2025/07/16`: We have open-sourced the **VLM Reward System** used to train GLM-4.1V-Thinking.View
the [code repository](glmv_reward) and run locally: `python examples/reward_system_demo.py`.
- **News**: `2025/07/01`: We released **GLM-4.1V-9B-Thinking** and
its [technical report](https://arxiv.org/abs/2507.01006).
## Model Implementation Code
- GLM-4.5V and GLM-4.6V model algorithm: see the full implementation
in [transformers](https://github.com/huggingface/transformers/tree/main/src/transformers/models/glm4v_moe).
- GLM-4.1V-9B-Thinking model algorithm: see the full implementation
in [transformers](https://github.com/huggingface/transformers/tree/main/src/transformers/models/glm4v).
- Both models share identical multimodal preprocessing, but use different conversation templates — please distinguish
carefully.
## Model Downloads
| Model | Download Links | Type |
|----------------------|--------------------------------------Excerpt of 17,889 characters
Read on GitHub
Yuxuan Zhang · Z.ai · China
73
Jared Wen · China
7
4
3
2
十字鱼
2
Madan kumar
1
EAGzzyCSL
1
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:7031da00ccb93590, topic:vlm, desc:multimodal, readme:multimodal