---
title: LLaVA-OneVision-2-8B-Instruct
canonical_url: "https://www.modelscope.cn/models/lmms-lab-encoder/LLaVA-OneVision-2-8B-Instruct"
md_url: "https://www.modelscope.cn/models/lmms-lab-encoder/LLaVA-OneVision-2-8B-Instruct.md"
repository: lmms-lab-encoder/LLaVA-OneVision-2-8B-Instruct
last_updated: 2026-08-30
license: apache-2.0
pipeline_tag: image-text-to-text
tasks:
  - image-text-to-text
model_type:
  - llava_onevision2
architectures:
  - LlavaOnevision2ForConditionalGeneration
parameters: 8.5B
tensor_type:
  - BF16
library_name:
  - pytorch
  - transformer
  - safetensors
frameworks:
  - pytorch
language:
  - en
  - zh
downloads: 517
stars: 0
tags:
  - multimodal
  - vision-language
  - image-text-to-text
  - video-text-to-text
  - llava
  - llava-onevision-2
  - qwen3
---

# LLaVA-OneVision-2-8B-Instruct

> LLaVA-OneVision-2-8B-Instruct - lmms-lab-encoder 在 ModelScope 开源的模型。当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。 您可以通过如下git clone命令，或者ModelScope SDK来下载模型

lmms-lab-encoder/LLaVA-OneVision-2-8B-Instruct 是 ModelScope 魔搭社区上的 8.5B 参数image-text-to-text模型，采用 apache-2.0 许可。

- **Repository**: lmms-lab-encoder/LLaVA-OneVision-2-8B-Instruct
- **License**: apache-2.0
- **Tasks**: image-text-to-text
- **Parameters**: 8.5B
- **Tags**: multimodal, vision-language, image-text-to-text, video-text-to-text, llava, llava-onevision-2, qwen3
- **Downloads**: 517
- **Stars**: 0
- **Last updated**: 2026-08-30

Source: https://www.modelscope.cn/models/lmms-lab-encoder/LLaVA-OneVision-2-8B-Instruct

---

### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型

SDK下载
```bash
#安装ModelScope
pip install modelscope
```
```python
#SDK模型下载
from modelscope import snapshot_download
model_dir = snapshot_download('lmms-lab-encoder/LLaVA-OneVision-2-8B-Instruct')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/lmms-lab-encoder/LLaVA-OneVision-2-8B-Instruct.git
```

<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>