> 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.

# Qwen1.5-MoE-A2.7B

> 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.

[Qwen1.5-MoE](https://qwenlm.github.io/) is a Mixture-of-Experts variant from Alibaba Cloud that activates only a fraction of parameters per token, enabling efficient training and inference at scale.

Set up NeMo AutoModel with the [latest container](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/nemo-automodel) or follow the [installation instructions](/get-started/installation).

## Fine-Tune Qwen1.5-MoE-A2.7B

From the repository root, run:

```bash
uv run automodel --nproc-per-node=8 examples/llm_finetune/qwen/qwen1_5_moe_a2_7b_qlora.yaml
```

## Choose a Workflow

| Goal                                                      | Start Here                                                                                                                                           |
| --------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------- |
| Quantized low-rank adaptation (QLoRA) - Qwen1.5 MoE A2.7B | Use [qwen1\_5\_moe\_a2\_7b\_qlora.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/qwen/qwen1_5_moe_a2_7b_qlora.yaml). |

## Model Reference

### Model Architecture

| Property                  | Value                               |
| ------------------------- | ----------------------------------- |
| Task                      | Text Generation (MoE)               |
| Architecture              | `Qwen2MoeForCausalLM`               |
| Parameters                | 14.3B total / 2.7B active           |
| Hugging Face Organization | [Qwen](https://huggingface.co/Qwen) |

### Available Models

| Model                  | HF ID                                                                               |
| ---------------------- | ----------------------------------------------------------------------------------- |
| Qwen1.5 MoE A2.7B      | [`Qwen/Qwen1.5-MoE-A2.7B`](https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B)           |
| Qwen1.5 MoE A2.7B Chat | [`Qwen/Qwen1.5-MoE-A2.7B-Chat`](https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B-Chat) |

## Related Resources

* [LLM Fine-Tuning Guide](/recipes-e2e-examples/sft-peft)
* [Large MoE Fine-Tuning Guide](/recipes-e2e-examples/large-moe-fine-tuning)