> 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.

# Ministral3 VL

[Ministral3](https://mistral.ai/news/ministraux/) is Mistral AI's efficient small model series. The vision-capable variants support image-text inputs for multimodal tasks.

|                  |                                               |
| ---------------- | --------------------------------------------- |
| **Task**         | Image-Text-to-Text                            |
| **Architecture** | `Mistral3ForConditionalGeneration`            |
| **Parameters**   | 3B – 14B                                      |
| **HF Org**       | [mistralai](https://huggingface.co/mistralai) |

## Available Models

* **Ministral-3-14B-Instruct-2512**
* **Ministral-3-8B-Instruct-2512**
* **Ministral-3-3B-Instruct-2512**

## Architecture

* `Mistral3ForConditionalGeneration`

## Example HF Models

| Model                    | HF ID                                                                                                       |
| ------------------------ | ----------------------------------------------------------------------------------------------------------- |
| Ministral-3 3B Instruct  | [`mistralai/Ministral-3-3B-Instruct-2512`](https://huggingface.co/mistralai/Ministral-3-3B-Instruct-2512)   |
| Ministral-3 8B Instruct  | [`mistralai/Ministral-3-8B-Instruct-2512`](https://huggingface.co/mistralai/Ministral-3-8B-Instruct-2512)   |
| Ministral-3 14B Instruct | [`mistralai/Ministral-3-14B-Instruct-2512`](https://huggingface.co/mistralai/Ministral-3-14B-Instruct-2512) |

## Example Recipes

| Recipe                                                                                                                                      | Dataset    | Description                    |
| ------------------------------------------------------------------------------------------------------------------------------------------- | ---------- | ------------------------------ |
| [ministral3\_3b\_medpix.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/vlm_finetune/mistral/ministral3_3b_medpix.yaml)   | MedPix-VQA | SFT — Ministral3 3B on MedPix  |
| [ministral3\_8b\_medpix.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/vlm_finetune/mistral/ministral3_8b_medpix.yaml)   | MedPix-VQA | SFT — Ministral3 8B on MedPix  |
| [ministral3\_14b\_medpix.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/vlm_finetune/mistral/ministral3_14b_medpix.yaml) | MedPix-VQA | SFT — Ministral3 14B on MedPix |

## 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/vlm_finetune/mistral/ministral3_3b_medpix.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:26.06.00
```

**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/vlm_finetune/mistral/ministral3_3b_medpix.yaml
```

See the [Installation Guide](/get-started/installation) and [VLM Fine-Tuning Guide](/recipes-e2e-examples/gemma-3-3n).

## Fine-Tuning

See the [VLM Fine-Tuning Guide](/recipes-e2e-examples/gemma-3-3n).

## Hugging Face Model Cards

* [mistralai/Ministral-3-8B-Instruct-2512](https://huggingface.co/mistralai/Ministral-3-8B-Instruct-2512)