> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo/automodel/v0.7/model-coverage/large-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 large language models.

* [`Qwen1.5-MoE-A2.7B`](/model-coverage/large-language-models/qwen/Qwen1.5-MoE-A2.7B)
* [`Qwen2.5-0.5B`](/model-coverage/large-language-models/qwen/Qwen2.5-0.5B)
* [`Qwen2.5-32B-Instruct`](/model-coverage/large-language-models/qwen/Qwen2.5-32B-Instruct)
* [`Qwen2.5-3B`](/model-coverage/large-language-models/qwen/Qwen2.5-3B)
* [`Qwen2.5-7B-Instruct`](/model-coverage/large-language-models/qwen/Qwen2.5-7B-Instruct)
* [`Qwen3-0.6B`](/model-coverage/large-language-models/qwen/Qwen3-0.6B)
* [`Qwen3-235B-A22B`](/model-coverage/large-language-models/qwen/Qwen3-235B-A22B)
* [`Qwen3-30B-A3B`](/model-coverage/large-language-models/qwen/Qwen3-30B-A3B)
* [`Qwen3-32B`](/model-coverage/large-language-models/qwen/Qwen3-32B)
* [`Qwen3-4B-Base`](/model-coverage/large-language-models/qwen/Qwen3-4B-Base)
* [`Qwen3-8B`](/model-coverage/large-language-models/qwen/Qwen3-8B)
* [`Qwen3-Next-80B-A3B-Instruct`](/model-coverage/large-language-models/qwen/Qwen3-Next-80B-A3B-Instruct)
* [`Qwen3.5-35B-A3B`](/model-coverage/large-language-models/qwen/Qwen3.5-35B-A3B)
* [`Qwen3.8-2.4T-A95B`](/model-coverage/large-language-models/qwen/Qwen3.8-2.4T-A95B)
* [`Qwen3.8-Flash-Next`](/model-coverage/large-language-models/qwen/Qwen3.8-Flash-Next)
* [`QwQ-32B`](/model-coverage/large-language-models/qwen/QwQ-32B)

> Browse NeMo AutoModel coverage for Qwen large language models.

## Docs

- [Qwen1.5-MoE-A2.7B](https://docs.nvidia.com/nemo/automodel/v0.7/model-coverage/large-language-models/qwen/Qwen1.5-MoE-A2.7B.md): Use Qwen1.5-MoE-A2.7B with NeMo AutoModel for language model fine-tuning, with documented checkpoints, runnable recipes, setup guidance, and model reference details.
- [Qwen2.5-0.5B](https://docs.nvidia.com/nemo/automodel/v0.7/model-coverage/large-language-models/qwen/Qwen2.5-0.5B.md): Use NeMo AutoModel to fine-tune Qwen2.5-0.5B for LLM workflows with checked-in text generation recipes and documented distributed settings.
- [Qwen2.5-32B-Instruct](https://docs.nvidia.com/nemo/automodel/v0.7/model-coverage/large-language-models/qwen/Qwen2.5-32B-Instruct.md): Use NeMo AutoModel to fine-tune Qwen2.5-32B-Instruct for LLM workflows with checked-in text generation recipes and documented distributed settings.
- [Qwen2.5-3B](https://docs.nvidia.com/nemo/automodel/v0.7/model-coverage/large-language-models/qwen/Qwen2.5-3B.md): Use NeMo AutoModel to fine-tune Qwen2.5-3B for LLM workflows with checked-in text generation recipes and documented distributed settings.
- [Qwen2.5-7B-Instruct](https://docs.nvidia.com/nemo/automodel/v0.7/model-coverage/large-language-models/qwen/Qwen2.5-7B-Instruct.md): Use Qwen2.5-7B-Instruct with NeMo AutoModel for language model fine-tuning, with documented checkpoints, runnable recipes, setup guidance, and model reference details.
- [Qwen3-0.6B](https://docs.nvidia.com/nemo/automodel/v0.7/model-coverage/large-language-models/qwen/Qwen3-0.6B.md): Use Qwen3-0.6B with NeMo AutoModel for language model fine-tuning, with documented checkpoints, runnable recipes, setup guidance, and model reference details.
- [Qwen3-235B-A22B](https://docs.nvidia.com/nemo/automodel/v0.7/model-coverage/large-language-models/qwen/Qwen3-235B-A22B.md): Use NeMo AutoModel to fine-tune Qwen3-235B-A22B for LLM workflows with checked-in text generation recipes and documented distributed settings.
- [Qwen3-30B-A3B](https://docs.nvidia.com/nemo/automodel/v0.7/model-coverage/large-language-models/qwen/Qwen3-30B-A3B.md): Use Qwen3-30B-A3B with NeMo AutoModel for language model fine-tuning, with documented checkpoints, runnable recipes, setup guidance, and model reference details.
- [Qwen3-32B](https://docs.nvidia.com/nemo/automodel/v0.7/model-coverage/large-language-models/qwen/Qwen3-32B.md): Use NeMo AutoModel to fine-tune Qwen3-32B for LLM workflows with checked-in text generation recipes and documented distributed settings.
- [Qwen3-4B-Base](https://docs.nvidia.com/nemo/automodel/v0.7/model-coverage/large-language-models/qwen/Qwen3-4B-Base.md): Use NeMo AutoModel to fine-tune Qwen3-4B-Base for LLM workflows with checked-in text generation recipes and documented distributed settings.
- [Qwen3-8B](https://docs.nvidia.com/nemo/automodel/v0.7/model-coverage/large-language-models/qwen/Qwen3-8B.md): Use NeMo AutoModel to fine-tune Qwen3-8B for LLM workflows with checked-in text generation recipes and documented distributed settings.
- [Qwen3-Next-80B-A3B-Instruct](https://docs.nvidia.com/nemo/automodel/v0.7/model-coverage/large-language-models/qwen/Qwen3-Next-80B-A3B-Instruct.md): Use Qwen3-Next-80B-A3B-Instruct with NeMo AutoModel for language model fine-tuning, with documented checkpoints, runnable recipes, setup, and model reference details.
- [Qwen3.5-35B-A3B](https://docs.nvidia.com/nemo/automodel/v0.7/model-coverage/large-language-models/qwen/Qwen3.5-35B-A3B.md): Use NeMo AutoModel to fine-tune Qwen3.5-35B-A3B for LLM workflows with checked-in text generation recipes and documented distributed settings.
- [Qwen3.8-2.4T-A95B](https://docs.nvidia.com/nemo/automodel/v0.7/model-coverage/large-language-models/qwen/Qwen3.8-2.4T-A95B.md): Fine-tune Qwen3.8-2.4T-A95B for text generation with NeMo AutoModel using checked-in multi-node expert- and pipeline-parallel recipes.
- [Qwen3.8-Flash-Next](https://docs.nvidia.com/nemo/automodel/v0.7/model-coverage/large-language-models/qwen/Qwen3.8-Flash-Next.md): Fine-tune Qwen3.8-Flash-Next for text generation with NeMo AutoModel using checked-in expert- and context-parallel recipes.
- [QwQ-32B](https://docs.nvidia.com/nemo/automodel/v0.7/model-coverage/large-language-models/qwen/QwQ-32B.md): Use NeMo AutoModel to fine-tune QwQ-32B for LLM workflows with checked-in text generation recipes and documented distributed settings.