Mistral#

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

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

Mistral 7B Instruct v0.1

mistralai/Mistral-7B-Instruct-v0.1

Mistral Nemo Instruct 2407

mistralai/Mistral-Nemo-Instruct-2407

Example Recipes#

Recipe

Description

mistral_7b_squad.yaml

SFT — Mistral 7B on SQuAD

mistral_7b_squad_peft.yaml

LoRA — Mistral 7B on SQuAD

mistral_nemo_2407_squad.yaml

SFT — Mistral Nemo 2407 on SQuAD

mistral_nemo_2407_squad_peft.yaml

LoRA — Mistral Nemo 2407 on SQuAD

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

3. Run the recipe from inside the repo:

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

See the Installation Guide and LLM Fine-Tuning Guide.

Fine-Tuning#

See the LLM Fine-Tuning Guide.

Hugging Face Model Cards#