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> For a complete documentation index, see https://docs.nvidia.com/nemo-platform/llms.txt.
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# Mistral Models

<a id="model-catalog-mistral" />

This page provides detailed technical specifications for the Mistral model family supported by NeMo Customizer. For information about supported features and capabilities, refer to [Tested Models](/documentation/customizer-reference/models/model-catalog).

## 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

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

Deployment using NIM is not supported for this model.