> 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.

# Qwen3.6

> Supported Qwen3.6 dense and MoE checkpoints and NeMo AutoModel recipes.

Qwen3.6 is Alibaba Cloud's unified vision-language model generation following Qwen3.5. NeMo AutoModel supports both the dense 27B checkpoint and the 35B-A3B MoE checkpoint.

|                  |                                                                         |
| ---------------- | ----------------------------------------------------------------------- |
| **Task**         | Image-Text-to-Text                                                      |
| **Architecture** | `Qwen3_5ForConditionalGeneration`, `Qwen3_5MoeForConditionalGeneration` |
| **Parameters**   | 27B dense; 35B total / 3B active MoE                                    |
| **HF Org**       | [Qwen](https://huggingface.co/Qwen)                                     |

## Example Models and Recipes

| Model                                                                 | Recipe                                                                                                                                 | Description            |
| --------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------- | ---------------------- |
| [`Qwen/Qwen3.6-27B`](https://huggingface.co/Qwen/Qwen3.6-27B)         | [qwen3\_6\_27b.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/vlm_finetune/qwen3_5/qwen3_6_27b.yaml)                | Full SFT on MedPix-VQA |
| [`Qwen/Qwen3.6-27B`](https://huggingface.co/Qwen/Qwen3.6-27B)         | [qwen3\_6\_27b\_lora.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/vlm_finetune/qwen3_5/qwen3_6_27b_lora.yaml)     | LoRA on MedPix-VQA     |
| [`Qwen/Qwen3.6-35B-A3B`](https://huggingface.co/Qwen/Qwen3.6-35B-A3B) | [qwen3\_6\_35b.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/vlm_finetune/qwen3_5_moe/qwen3_6_35b.yaml)            | Full SFT on MedPix-VQA |
| [`Qwen/Qwen3.6-35B-A3B`](https://huggingface.co/Qwen/Qwen3.6-35B-A3B) | [qwen3\_6\_35b\_lora.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/vlm_finetune/qwen3_5_moe/qwen3_6_35b_lora.yaml) | LoRA on MedPix-VQA     |

## Run a Recipe

```bash
uv run automodel --nproc-per-node=8 examples/vlm_finetune/qwen3_5/qwen3_6_27b.yaml
```

Install the `vlm-media` extra before running these recipes. See the [Installation Guide](/get-started/installation) and [VLM Fine-Tuning Guide](/recipes-e2e-examples/gemma-3-3n).