> 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.

# Qwen3-VL-4B-Instruct

> Reference Qwen3-VL-4B-Instruct checkpoint and architecture details for NeMo AutoModel, with model-family information, setup guidance, and upstream resources.

[Qwen3-VL](https://qwenlm.github.io/blog/qwen3/) is Alibaba Cloud's third-generation vision language model series. The MoE variant activates a fraction of parameters per token for efficient large-scale inference.

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 Qwen3-VL-4B-Instruct

From the repository root, run:

```bash
uv run automodel examples/vlm_finetune/qwen3/qwen3_vl_4b_instruct_rdr.yaml --nproc-per-node 8
```

## Choose a Workflow

| Goal                                                    | Start Here                                                                                                                                                                 |
| ------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Supervised fine-tuning (SFT) - Qwen3-VL 4B on RDR Items | Use [qwen3\_vl\_4b\_instruct\_rdr.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/vlm_finetune/qwen3/qwen3_vl_4b_instruct_rdr.yaml). Dataset: rdr-items. |

## Fine-Tuning

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

Dense Qwen3-VL supports context parallelism. To distribute the vision tower across the CP
group, enable `distributed.multimodal.vision.frame_sharding`; see the
[Context-Parallel Vision Frame Sharding guide](/development/cp-vision-frame-sharding). Qwen3-VL-MoE
does not yet support this path.

## Model Reference

### Model Architecture

| Property                  | Value                               |
| ------------------------- | ----------------------------------- |
| Task                      | Image-Text-to-Text                  |
| Architecture              | `Qwen3VLForConditionalGeneration`   |
| Parameters                | 4B                                  |
| Hugging Face Organization | [Qwen](https://huggingface.co/Qwen) |

### Available Models

| Model                | HF ID                                                                           |
| -------------------- | ------------------------------------------------------------------------------- |
| Qwen3-VL 4B Instruct | [`Qwen/Qwen3-VL-4B-Instruct`](https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct) |
| Qwen3-VL-4B-Thinking | [`Qwen/Qwen3-VL-4B-Thinking`](https://huggingface.co/Qwen/Qwen3-VL-4B-Thinking) |

## Related Resources

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