# Mistral Models

This page provides detailed technical specifications for the Mistral model family supported by {{ncm_short_name}}. For information about supported features and capabilities, refer to [Tested Models](index.md).

## Mistral-7B-Instruct-v0.3

| Property | Value |
|----------|--------|
| Creator | Mistral AI |
| Architecture | transformer |
| Description | Mistral-7B-Instruct-v0.3 is an instruction-tuned model optimized for dialogue and instruction-following tasks. |
| Max I/O Tokens | 4096 |
| Parameters | 7 billion |
| Training Data | Not specified |
| Default Name | mistralai/Mistral-7B-Instruct-v0.3 |
| HuggingFace | [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) |

### Training Options

- **LoRA**: 1x 80GB GPU, tensor parallel size 1
- **Full SFT**: 1x 80GB GPU, tensor parallel size 1

### Deployment Configuration

- **LoRA**:
 - NIM Image: `nvcr.io/nim/nvidia/llm-nim:1.15.5`
 - GPU Count: 1x 80GB
- **Full SFT**:
 - NIM Image: `nvcr.io/nim/nvidia/llm-nim:1.15.5`
 - GPU Count: 1x 80GB
 - Additional Environment Variables:
 - `NIM_MODEL_PROFILE`: `vllm`

## Ministral-3-3B-Instruct-2512

| Property | Value |
|----------|--------|
| Creator | Mistral AI |
| Architecture | transformer |
| Description | Ministral-3-3B-Instruct-2512 is a compact instruction-tuned model from Mistral AI designed for efficient deployment. |
| Max I/O Tokens | 4096 |
| Parameters | 3 billion |
| Training Data | Not specified |
| Default Name | mistralai/Ministral-3-3B-Instruct-2512 |
| HuggingFace | [mistralai/Ministral-3-3B-Instruct-2512](https://huggingface.co/mistralai/Ministral-3-3B-Instruct-2512) |

### Training Options

- **LoRA**: 1x 80GB GPU, tensor parallel size 1
- **Full SFT**: 2x 80GB GPU, tensor parallel size 1

!!! note
    Deployment using NIM is not supported for this model.

## Ministral-3-3B-Reasoning-2512

| Property | Value |
|----------|--------|
| Creator | Mistral AI |
| Architecture | transformer |
| Description | Ministral-3-3B-Reasoning-2512 is a compact model from Mistral AI optimized for reasoning tasks. |
| Max I/O Tokens | 4096 |
| Parameters | 3 billion |
| Training Data | Not specified |
| Default Name | mistralai/Ministral-3-3B-Reasoning-2512 |
| HuggingFace | [mistralai/Ministral-3-3B-Reasoning-2512](https://huggingface.co/mistralai/Ministral-3-3B-Reasoning-2512) |

### Training Options

- **LoRA**: 1x 80GB GPU, tensor parallel size 1
- **Full SFT**: 2x 80GB GPU, tensor parallel size 1

!!! note
    Deployment using NIM is not supported for this model.
