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

# Qwen

> Browse NeMo AutoModel coverage for Qwen vision language models.

* [`Qwen2.5-VL-3B-Instruct`](/model-coverage/vision-language-models/qwen/Qwen2.5-VL-3B-Instruct)
* [`Qwen3-VL-235B-A22B-Instruct`](/model-coverage/vision-language-models/qwen/Qwen3-VL-235B-A22B-Instruct)
* [`Qwen3-VL-30B-A3B-Instruct`](/model-coverage/vision-language-models/qwen/Qwen3-VL-30B-A3B-Instruct)
* [`Qwen3-VL-4B-Instruct`](/model-coverage/vision-language-models/qwen/Qwen3-VL-4B-Instruct)
* [`Qwen3-VL-8B-Instruct`](/model-coverage/vision-language-models/qwen/Qwen3-VL-8B-Instruct)
* [`Qwen3.5-122B-A10B`](/model-coverage/vision-language-models/qwen/Qwen3.5-122B-A10B)
* [`Qwen3.5-27B`](/model-coverage/vision-language-models/qwen/Qwen3.5-27B)
* [`Qwen3.5-35B-A3B`](/model-coverage/vision-language-models/qwen/Qwen3.5-35B-A3B)
* [`Qwen3.5-397B-A17B`](/model-coverage/vision-language-models/qwen/Qwen3.5-397B-A17B)
* [`Qwen3.5-4B`](/model-coverage/vision-language-models/qwen/Qwen3.5-4B)
* [`Qwen3.5-9B`](/model-coverage/vision-language-models/qwen/Qwen3.5-9B)
* [`Qwen3.6-27B`](/model-coverage/vision-language-models/qwen/Qwen3.6-27B)
* [`Qwen3.6-35B-A3B`](/model-coverage/vision-language-models/qwen/Qwen3.6-35B-A3B)
* [`Qwen3.8-27B`](/model-coverage/vision-language-models/qwen/Qwen3.8-27B)

> Browse NeMo AutoModel coverage for Qwen vision language models.

## Docs

- [Qwen2.5-VL-3B-Instruct](https://docs.nvidia.com/nemo/automodel/latest/model-coverage/vision-language-models/qwen/Qwen2.5-VL-3B-Instruct.md): Use Qwen2.5-VL-3B-Instruct with NeMo AutoModel for vision-language fine-tuning, with documented checkpoints, runnable recipes, setup, and model reference details.
- [Qwen3-VL-235B-A22B-Instruct](https://docs.nvidia.com/nemo/automodel/latest/model-coverage/vision-language-models/qwen/Qwen3-VL-235B-A22B-Instruct.md): Use NeMo AutoModel to fine-tune Qwen3-VL-235B-A22B-Instruct for VLM workflows with checked-in image-text-to-text recipes and documented distributed settings.
- [Qwen3-VL-30B-A3B-Instruct](https://docs.nvidia.com/nemo/automodel/latest/model-coverage/vision-language-models/qwen/Qwen3-VL-30B-A3B-Instruct.md): Use NeMo AutoModel to fine-tune Qwen3-VL-30B-A3B-Instruct for VLM workflows with checked-in image-text-to-text recipes and documented distributed settings.
- [Qwen3-VL-4B-Instruct](https://docs.nvidia.com/nemo/automodel/latest/model-coverage/vision-language-models/qwen/Qwen3-VL-4B-Instruct.md): Reference Qwen3-VL-4B-Instruct checkpoint and architecture details for NeMo AutoModel, with model-family information, setup guidance, and upstream resources.
- [Qwen3-VL-8B-Instruct](https://docs.nvidia.com/nemo/automodel/latest/model-coverage/vision-language-models/qwen/Qwen3-VL-8B-Instruct.md): Use NeMo AutoModel to fine-tune Qwen3-VL-8B-Instruct for VLM workflows with checked-in image-text-to-text recipes and documented distributed settings.
- [Qwen3.5-122B-A10B](https://docs.nvidia.com/nemo/automodel/latest/model-coverage/vision-language-models/qwen/Qwen3.5-122B-A10B.md): Use NeMo AutoModel to fine-tune Qwen3.5-122B-A10B for VLM workflows with checked-in image-text-to-text recipes and documented distributed settings.
- [Qwen3.5-27B](https://docs.nvidia.com/nemo/automodel/latest/model-coverage/vision-language-models/qwen/Qwen3.5-27B.md): Use NeMo AutoModel to fine-tune Qwen3.5-27B for VLM workflows with checked-in image-text-to-text recipes and documented distributed settings.
- [Qwen3.5-35B-A3B](https://docs.nvidia.com/nemo/automodel/latest/model-coverage/vision-language-models/qwen/Qwen3.5-35B-A3B.md): Use NeMo AutoModel to fine-tune Qwen3.5-35B-A3B for VLM workflows with checked-in image-text-to-text recipes and documented distributed settings.
- [Qwen3.5-397B-A17B](https://docs.nvidia.com/nemo/automodel/latest/model-coverage/vision-language-models/qwen/Qwen3.5-397B-A17B.md): Use NeMo AutoModel to fine-tune Qwen3.5-397B-A17B for VLM workflows with checked-in image-text-to-text recipes and documented distributed settings.
- [Qwen3.5-4B](https://docs.nvidia.com/nemo/automodel/latest/model-coverage/vision-language-models/qwen/Qwen3.5-4B.md): Use Qwen3.5-4B with NeMo AutoModel for vision-language fine-tuning, with documented checkpoints, runnable recipes, setup guidance, and model reference details.
- [Qwen3.5-9B](https://docs.nvidia.com/nemo/automodel/latest/model-coverage/vision-language-models/qwen/Qwen3.5-9B.md): Use NeMo AutoModel to fine-tune Qwen3.5-9B for VLM workflows with checked-in image-text-to-text recipes and documented distributed settings.
- [Qwen3.6-27B](https://docs.nvidia.com/nemo/automodel/latest/model-coverage/vision-language-models/qwen/Qwen3.6-27B.md): Fine-tune Qwen3.6-27B for vision-language tasks with NeMo AutoModel using checked-in full-parameter and LoRA recipes with distributed settings.
- [Qwen3.6-35B-A3B](https://docs.nvidia.com/nemo/automodel/latest/model-coverage/vision-language-models/qwen/Qwen3.6-35B-A3B.md): Use NeMo AutoModel to fine-tune Qwen3.6-35B-A3B for VLM workflows with checked-in image-text-to-text recipes and documented distributed settings.
- [Qwen3.8-27B](https://docs.nvidia.com/nemo/automodel/latest/model-coverage/vision-language-models/qwen/Qwen3.8-27B.md): Fine-tune Qwen3.8-27B for vision-language tasks with NeMo AutoModel using checked-in full-parameter and LoRA recipes with distributed settings.