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# Qwen3-235B-A22B

> Use NeMo AutoModel to fine-tune Qwen3-235B-A22B for LLM workflows with checked-in text generation recipes and documented distributed settings.

[Qwen3-235B-A22B](https://huggingface.co/Qwen/Qwen3-235B-A22B) has a checked-in NeMo AutoModel recipe for text generation.
The Hugging Face configuration declares the `Qwen3MoeForCausalLM` architecture.

## Fine-Tune Qwen3-235B-A22B

Follow the [installation instructions](/get-started/installation), then run the recipe from the repository root:

```bash
automodel examples/llm_benchmark/qwen/qwen3_moe_235b_te_deepep.yaml --nproc-per-node 8
```

Use the [Slurm launcher guide](/job-launchers/slurm-cluster) for the multi-node run.

## Choose a Workflow

| Goal                                         | Start Here                                                                                                                                      |
| -------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------- |
| Run the primary recipe for this model        | Use the [recipe configuration](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_benchmark/qwen/qwen3_moe_235b_te_deepep.yaml).   |
| Try another checked-in recipe for this model | Use the [alternate recipe](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_benchmark/qwen/qwen3_moe_235b_te_deepep_gb200.yaml). |

### Configuration

| Setting  | Configuration                                                                                             |
| -------- | --------------------------------------------------------------------------------------------------------- |
| Hardware | -                                                                                                         |
| Strategy | FSDP2; tp\_size=1, pp\_size=4, cp\_size=1, ep\_size=32                                                    |
| Nodes    | 32                                                                                                        |
| Features | Activation checkpointing (activation\_checkpointing=true), Transformer Engine, DeepEP (dispatcher=deepep) |
| Advanced | attention=te, linear=te, experts=gmm, dispatcher=deepep                                                   |

### More Recipes for This Model

* [`qwen3_moe_235b_te_deepep_gb200.yaml`](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_benchmark/qwen/qwen3_moe_235b_te_deepep_gb200.yaml)
* [`qwen3_moe_235b_te_mxfp8_gb200.yaml`](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_benchmark/qwen/qwen3_moe_235b_te_mxfp8_gb200.yaml)

## Model Reference

### Model Architecture

| Property     | Value                 |
| ------------ | --------------------- |
| Task         | Text generation       |
| Architecture | `Qwen3MoeForCausalLM` |

### Available Models

* [`Qwen/Qwen3-235B-A22B`](https://huggingface.co/Qwen/Qwen3-235B-A22B)

## Related Resources

* [LLM fine-tuning guide](/recipes-e2e-examples/sft-peft)