> 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.

# Mistral

[Mistral AI](https://mistral.ai/) models are efficient transformer decoder models featuring sliding window attention for long context support. Mistral-Nemo is a 12B model developed jointly with NVIDIA.

|                  |                                               |
| ---------------- | --------------------------------------------- |
| **Task**         | Text Generation                               |
| **Architecture** | `MistralForCausalLM`                          |
| **Parameters**   | 7B – 12B                                      |
| **HF Org**       | [mistralai](https://huggingface.co/mistralai) |

## Available Models

* **Mistral-7B**: v0.1, v0.2, v0.3
* **Mistral-7B-Instruct**: v0.1, v0.2, v0.3
* **Mistral-Nemo-Instruct-2407**: 12B

## Architecture

* `MistralForCausalLM`

## Example HF Models

| Model                      | HF ID                                                                                                 |
| -------------------------- | ----------------------------------------------------------------------------------------------------- |
| Mistral 7B v0.1            | [`mistralai/Mistral-7B-v0.1`](https://huggingface.co/mistralai/Mistral-7B-v0.1)                       |
| Mistral 7B Instruct v0.1   | [`mistralai/Mistral-7B-Instruct-v0.1`](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1)     |
| Mistral Nemo Instruct 2407 | [`mistralai/Mistral-Nemo-Instruct-2407`](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407) |

## Example Recipes

| Recipe                                                                                                                                                      | Description                       |
| ----------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------- |
| [mistral\_7b\_squad.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/mistral/mistral_7b_squad.yaml)                           | SFT — Mistral 7B on SQuAD         |
| [mistral\_7b\_squad\_peft.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/mistral/mistral_7b_squad_peft.yaml)                | LoRA — Mistral 7B on SQuAD        |
| [mistral\_nemo\_2407\_squad.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/mistral/mistral_nemo_2407_squad.yaml)            | SFT — Mistral Nemo 2407 on SQuAD  |
| [mistral\_nemo\_2407\_squad\_peft.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/mistral/mistral_nemo_2407_squad_peft.yaml) | LoRA — Mistral Nemo 2407 on SQuAD |

## Try with NeMo AutoModel

**1. Install** ([full instructions](/get-started/installation)):

```bash
pip install nemo-automodel
```

**2. Clone the repo** to get the example recipes:

```bash
git clone https://github.com/NVIDIA-NeMo/Automodel.git
cd Automodel
```

**3. Run the recipe** from inside the repo:

```bash
automodel --nproc-per-node=8 examples/llm_finetune/mistral/mistral_7b_squad.yaml
```

**1. Pull the container** and mount a checkpoint directory:

```bash
docker run --gpus all -it --rm \
  --shm-size=8g \
  -v $(pwd)/checkpoints:/opt/Automodel/checkpoints \
  nvcr.io/nvidia/nemo-automodel:26.04.00
```

**2.** Navigate to the AutoModel directory (where the recipes are):

```bash
cd /opt/Automodel
```

**3. Run the recipe**:

```bash
automodel --nproc-per-node=8 examples/llm_finetune/mistral/mistral_7b_squad.yaml
```

See the [Installation Guide](/get-started/installation) and [LLM Fine-Tuning Guide](/recipes-e2e-examples/sft-peft).

## Fine-Tuning

See the [LLM Fine-Tuning Guide](/recipes-e2e-examples/sft-peft).

## Hugging Face Model Cards

* [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
* [mistralai/Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407)