---
title: AutoGLM-Phone-9B-Multilingual-4bit
canonical_url: "https://www.modelscope.cn/models/mlx-community/AutoGLM-Phone-9B-Multilingual-4bit"
md_url: "https://www.modelscope.cn/models/mlx-community/AutoGLM-Phone-9B-Multilingual-4bit.md"
repository: mlx-community/AutoGLM-Phone-9B-Multilingual-4bit
last_updated: 2025-12-12
license: mit
pipeline_tag: image-text-to-text
tasks:
  - image-text-to-text
model_type:
  - glm4v
architectures:
  - Glm4vForConditionalGeneration
base_model:
  - zai-org/GLM-4.1V-9B-Base
base_model_relation: quantized
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - zh
inference_backends:
  - "deploy_task vlm/text/emb"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 291
stars: 0
tags:
  - agent
  - mlx
---

# AutoGLM-Phone-9B-Multilingual-4bit

> AutoGLM-Phone-9B-Multilingual-4bit - mlx-community 在 ModelScope 开源的模型。mlx-community/AutoGLM-Phone-9B-Multilingual-4bit This model was converted to MLX format from zai-org/AutoGLM-Phone-9B-Multilingual using mlx-vlm version 0.3.9. Refer to the original model…

mlx-community/AutoGLM-Phone-9B-Multilingual-4bit 是 ModelScope 魔搭社区上的image-text-to-text模型，采用 mit 许可，基于 zai-org/GLM-4.1V-9B-Base 构建，可用 deploy_task vlm/text/emb、sglang 0.5.2、vllm 0.9.2 部署。

- **Repository**: mlx-community/AutoGLM-Phone-9B-Multilingual-4bit
- **License**: mit
- **Tasks**: image-text-to-text
- **Base model**: zai-org/GLM-4.1V-9B-Base
- **Inference backends**: deploy_task vlm/text/emb, sglang 0.5.2, vllm 0.9.2
- **Tags**: agent, mlx
- **Downloads**: 291
- **Stars**: 0
- **Last updated**: 2025-12-12

Source: https://www.modelscope.cn/models/mlx-community/AutoGLM-Phone-9B-Multilingual-4bit

---

# mlx-community/AutoGLM-Phone-9B-Multilingual-4bit
This model was converted to MLX format from [`zai-org/AutoGLM-Phone-9B-Multilingual`]() using mlx-vlm version **0.3.9**.
Refer to the [original model card](https://huggingface.co/zai-org/AutoGLM-Phone-9B-Multilingual) for more details on the model.
## Use with mlx

```bash
pip install -U mlx-vlm
```

```bash
python -m mlx_vlm.generate --model mlx-community/AutoGLM-Phone-9B-Multilingual-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
```