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# Qwen3.5-35B-A3B

> Use NeMo AutoModel to fine-tune Qwen3.5-35B-A3B for LLM workflows with checked-in text generation recipes and documented distributed settings.

[Qwen3.5-35B-A3B](https://huggingface.co/Qwen/Qwen3.5-35B-A3B) has a checked-in NeMo AutoModel recipe for text generation.
The Hugging Face configuration declares the `Qwen3_5MoeForConditionalGeneration` architecture.

## Fine-Tune Qwen3.5-35B-A3B

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

```bash
automodel examples/llm_benchmark/qwen/qwen3.5_moe_lora.yaml --nproc-per-node 8
```

## 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/qwen3.5_moe_lora.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/qwen3.5_moe_te_deepep.yaml). |

### Configuration

| Setting  | Configuration                                                                                                   |
| -------- | --------------------------------------------------------------------------------------------------------------- |
| Hardware | -                                                                                                               |
| Strategy | FSDP2; tp\_size=1, pp\_size=1, cp\_size=1, ep\_size=8                                                           |
| Nodes    | 1                                                                                                               |
| Features | Activation checkpointing (activation\_checkpointing=true), LoRA, Transformer Engine, DeepEP (dispatcher=deepep) |
| Advanced | attention=te, linear=te, experts=gmm, dispatcher=deepep                                                         |

### More Recipes for This Model

* [`qwen3.5_moe_te_deepep.yaml`](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_benchmark/qwen/qwen3.5_moe_te_deepep.yaml)
* [`qwen3.5_moe_te_deepep_lora.yaml`](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_benchmark/qwen/qwen3.5_moe_te_deepep_lora.yaml)

## Model Reference

### Model Architecture

| Property     | Value                                |
| ------------ | ------------------------------------ |
| Task         | Text generation                      |
| Architecture | `Qwen3_5MoeForConditionalGeneration` |

### Available Models

* [`Qwen/Qwen3.5-35B-A3B`](https://huggingface.co/Qwen/Qwen3.5-35B-A3B)

## Related Resources

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