# 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.

:::{card}
| | |
|---|---|
| **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 |
|---|---|
| {download}`mistral_7b_squad.yaml <../../../../examples/llm_finetune/mistral/mistral_7b_squad.yaml>` | SFT — Mistral 7B on SQuAD |
| {download}`mistral_7b_squad_peft.yaml <../../../../examples/llm_finetune/mistral/mistral_7b_squad_peft.yaml>` | LoRA — Mistral 7B on SQuAD |
| {download}`mistral_nemo_2407_squad.yaml <../../../../examples/llm_finetune/mistral/mistral_nemo_2407_squad.yaml>` | SFT — Mistral Nemo 2407 on SQuAD |
| {download}`mistral_nemo_2407_squad_peft.yaml <../../../../examples/llm_finetune/mistral/mistral_nemo_2407_squad_peft.yaml>` | LoRA — Mistral Nemo 2407 on SQuAD |


## Try with NeMo AutoModel

**1. Install** ([full instructions](../../../guides/installation.md)):

```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
```

:::{dropdown} Run with Docker
**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:26.02.00
```

**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](../../../guides/installation.md) and [LLM Fine-Tuning Guide](../../../guides/llm/finetune.md).

## Fine-Tuning

See the [LLM Fine-Tuning Guide](../../../guides/llm/finetune.md).

## 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)
