> 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.

# Devstral-2-123B-Instruct-2512

> Use NeMo AutoModel to fine-tune Devstral-2-123B-Instruct-2512 for LLM workflows with checked-in text generation recipes and documented distributed settings.

[Devstral-2-123B-Instruct-2512](https://huggingface.co/mistralai/Devstral-2-123B-Instruct-2512) has a checked-in NeMo AutoModel recipe for text generation.
The Hugging Face configuration declares the `Ministral3ForCausalLM` architecture.

## Fine-Tune Devstral-2-123B-Instruct-2512

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

```bash
automodel examples/llm_finetune/devstral/devstral2_123b_2512_squad_peft.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_finetune/devstral/devstral2_123b_2512_squad_peft.yaml). |
| Prepare your environment              | Follow the [installation instructions](/get-started/installation).                                                                                     |

### Configuration

| Setting  | Configuration                                                                                 |
| -------- | --------------------------------------------------------------------------------------------- |
| Hardware | -                                                                                             |
| Strategy | FSDP2; tp\_size=8, pp\_size=1, cp\_size=1, ep\_size=1                                         |
| Nodes    | 1                                                                                             |
| Features | Checkpointing (enabled=true), Activation checkpointing (activation\_checkpointing=true), LoRA |
| Advanced | bfloat16                                                                                      |

## Model Reference

### Model Architecture

| Property     | Value                   |
| ------------ | ----------------------- |
| Task         | Text generation         |
| Architecture | `Ministral3ForCausalLM` |

### Available Models

* [`mistralai/Devstral-2-123B-Instruct-2512`](https://huggingface.co/mistralai/Devstral-2-123B-Instruct-2512)

## Related Resources

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