> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo/automodel/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/automodel/_mcp/server.

# Qwen2.5-VL-3B-Instruct

> Use Qwen2.5-VL-3B-Instruct with NeMo AutoModel for vision-language fine-tuning, with documented checkpoints, runnable recipes, setup, and model reference details.

[Qwen2.5-VL](https://qwenlm.github.io/blog/qwen2.5-vl/) is Alibaba Cloud's vision language model series supporting image and video understanding. It features dynamic resolution processing and integrates with the Qwen2.5 language backbone.

Set up NeMo AutoModel with the [latest container](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/nemo-automodel) or follow the [installation instructions](/get-started/installation).

## Fine-Tune Qwen2.5-VL-3B-Instruct

From the repository root, run:

```bash
uv run automodel --nproc-per-node=8 examples/vlm_finetune/qwen2_5/qwen2_5_vl_3b_rdr.yaml
```

## Choose a Workflow

| Goal                                                      | Start Here                                                                                                                                                     |
| --------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Supervised fine-tuning (SFT) - Qwen2.5-VL 3B on RDR Items | Use [qwen2\_5\_vl\_3b\_rdr.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/vlm_finetune/qwen2_5/qwen2_5_vl_3b_rdr.yaml). Dataset: rdr-items. |

## Model Reference

### Model Architecture

| Property                  | Value                               |
| ------------------------- | ----------------------------------- |
| Task                      | Image-Text-to-Text                  |
| Architecture              | `Qwen2_5VLForConditionalGeneration` |
| Parameters                | 3B                                  |
| Hugging Face Organization | [Qwen](https://huggingface.co/Qwen) |

* `Qwen2_5VLForConditionalGeneration` - Qwen2.5-VL
* `Qwen2VLForConditionalGeneration` - Qwen2-VL

### Available Models

| Model                  | HF ID                                                                               |
| ---------------------- | ----------------------------------------------------------------------------------- |
| Qwen2.5-VL 3B Instruct | [`Qwen/Qwen2.5-VL-3B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct) |

## Related Resources

* [VLM Fine-Tuning Guide](/recipes-e2e-examples/gemma-3-3n)