Mistral-Small-4#

Mistral-Small-4-119B is Mistral AI’s multimodal MoE model supporting both text and image inputs at scale.

Task

Image-Text-to-Text

Architecture

MistralForConditionalGeneration

Parameters

119B (MoE)

HF Org

mistralai

Available Models#

  • Mistral-Small-4-119B-Instruct-2512

Architecture#

  • MistralForConditionalGeneration

Example HF Models#

Model

HF ID

Mistral-Small-4 119B Instruct

mistralai/Mistral-Small-4-119B-Instruct-2512

Example Recipes#

Recipe

Dataset

Description

mistral4_medpix.yaml

MedPix-VQA

SFT — Mistral-Small-4 on MedPix

Try with NeMo AutoModel#

1. Install (full instructions):

pip install nemo-automodel

2. Clone the repo to get the example recipes:

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

Note

This recipe was validated on 4 nodes × 8 GPUs (32 H100s). See the Launcher Guide for multi-node setup.

3. Run the recipe from inside the repo:

automodel --nproc-per-node=8 examples/vlm_finetune/mistral4/mistral4_medpix.yaml
Run with Docker

1. Pull the container and mount a checkpoint directory:

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):

cd /opt/Automodel

3. Run the recipe:

automodel --nproc-per-node=8 examples/vlm_finetune/mistral4/mistral4_medpix.yaml

See the Installation Guide and VLM Fine-Tuning Guide.

Fine-Tuning#

See the VLM Fine-Tuning Guide.

Hugging Face Model Cards#