Model CoverageLarge Language Models (LLMs)

Ministral3 / Devstral

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Ministral is Mistral AI’s efficient small model series optimized for on-device and edge use cases. Devstral is a code-focused model built on the same architecture, designed for software engineering agents.

Both use the Mistral3ForConditionalGeneration architecture.

TaskText Generation
ArchitectureMistral3ForConditionalGeneration
Parameters3B – 24B
HF Orgmistralai

Available Models

Ministral3:

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

Devstral:

  • Devstral-Small-2-24B-Instruct-2512

Architecture

  • Mistral3ForConditionalGeneration

Example HF Models

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/devstral/devstral2_small_2512_squad.yaml

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:26.04.00

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/devstral/devstral2_small_2512_squad.yaml

See the Installation Guide and LLM Fine-Tuning Guide.

Fine-Tuning

See the LLM Fine-Tuning Guide.

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