---
title: OmniNav_Slowfast
canonical_url: "https://www.modelscope.ai/models/chongchongjj/OmniNav_Slowfast"
md_url: "https://www.modelscope.ai/models/chongchongjj/OmniNav_Slowfast.md"
repository: chongchongjj/OmniNav_Slowfast
last_updated: 2026-02-04
license: "Apache License 2.0"
pipeline_tag: visual-grounding
tasks:
  - visual-grounding
model_type:
  - qwen2_5_vl
architectures:
  - Qwen2_5_VLForConditionalGeneration
parameters: 4.1B
tensor_type:
  - BF16
library_name:
  - safetensors
  - pytorch
frameworks:
  - Pytorch
downloads: 568
stars: 0
---

# OmniNav_Slowfast

> OmniNav_Slowfast - An open-source model by chongchongjj on ModelScope. The slow-fast collaboration system inference checkpoint

chongchongjj/OmniNav_Slowfast is a 4.1B-parameter visual-grounding model on ModelScope. licensed under Apache License 2.0.

- **Repository**: chongchongjj/OmniNav_Slowfast
- **License**: Apache License 2.0
- **Tasks**: visual-grounding
- **Parameters**: 4.1B
- **Downloads**: 568
- **Stars**: 0
- **Last updated**: 2026-02-04

Source: https://www.modelscope.ai/models/chongchongjj/OmniNav_Slowfast

---

### You are viewing the default Readme template as no detailed model-card was provided by the model’s contributors. You can access the model files in the "Files and versions" tab.
#### Model files may be downloaded with ModelScope SDK or through git clone directly.

Download with ModelScope’s Python SDK
```bash
#Install ModelScope
pip install modelscope
```
```python
#Download with ModelScope’s Python SDK
from modelscope import snapshot_download
model_dir = snapshot_download('chongchongjj/OmniNav_Slowfast')
```
Download with Git clone
```
git clone https://www.modelscope.ai/chongchongjj/OmniNav_Slowfast.git
```

<p style="color: lightgrey;">If you are a contributor to this model, we invite you to promptly update the model card content according to <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;">the model contribution documentation</a>.</p>