---
title: UGround-V1-2B
canonical_url: "https://www.modelscope.cn/models/mlx-community/UGround-V1-2B"
md_url: "https://www.modelscope.cn/models/mlx-community/UGround-V1-2B.md"
repository: mlx-community/UGround-V1-2B
last_updated: 2025-06-04
license: apache-2.0
pipeline_tag: image-text-to-text
tasks:
  - image-text-to-text
model_type:
  - qwen2_vl
architectures:
  - Qwen2VLForConditionalGeneration
base_model:
  - Qwen/Qwen2-VL-2B
base_model_relation: finetune
parameters: 2.2B
tensor_type:
  - BF16
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
inference_backends:
  - "deploy_task vlm/text/emb"
  - "lmdeploy 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 273
stars: 0
tags:
  - multimodal
  - mlx
---

# UGround-V1-2B

> UGround-V1-2B - mlx-community 在 ModelScope 开源的模型。mlx-community/UGround-V1-2B This model was converted to MLX format from osunlp/UGround-V1-2B using mlx-vlm version 0.1.26. Refer to the original model card for more details on the model. Use with mlx

mlx-community/UGround-V1-2B 是 ModelScope 魔搭社区上的 2.2B 参数image-text-to-text模型，采用 apache-2.0 许可，基于 Qwen/Qwen2-VL-2B 构建，可用 deploy_task vlm/text/emb、lmdeploy 0.9.1、sglang 0.5.2 部署。

- **Repository**: mlx-community/UGround-V1-2B
- **License**: apache-2.0
- **Tasks**: image-text-to-text
- **Parameters**: 2.2B
- **Base model**: Qwen/Qwen2-VL-2B
- **Inference backends**: deploy_task vlm/text/emb, lmdeploy 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Tags**: multimodal, mlx
- **Downloads**: 273
- **Stars**: 0
- **Last updated**: 2025-06-04

Source: https://www.modelscope.cn/models/mlx-community/UGround-V1-2B

---

# mlx-community/UGround-V1-2B
This model was converted to MLX format from [`osunlp/UGround-V1-2B`]() using mlx-vlm version **0.1.26**.
Refer to the [original model card](https://huggingface.co/osunlp/UGround-V1-2B) for more details on the model.
## Use with mlx

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

```bash
python -m mlx_vlm.generate --model mlx-community/UGround-V1-2B --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
```