# Mistral AI
**Date de l'événement :** 31/10/2023
* Publié le 31/10/2023

### Galerie d'image
![Capture d’écran 2023-10-31 à 11.12.59.png](https://firebasestorage.googleapis.com/v0/b/memory-ai.appspot.com/o/prod%2FrKxsdSTpqCfzIFY8Y2hg%2FprojectsMedias%2FqQ80jqvPEkb4cS3XBvea%2Fthumbs%2FCapture%20d%E2%80%99e%CC%81cran%202023-10-31%20a%CC%80%2011.12.59_1600x900.png?alt=media&token=b7b77772-deeb-456c-a7ba-727fde040d8c) 

## Description
Nous développons les meilleurs modèles d'intelligence artificielle génératives.

Rejoignez nous ! https://jobs.lever.co/mistral/

Site web : [https://mistral.ai](https://mistral.ai/)

  

  

**Mistral 7B**

The best 7B model to date, Apache 2.0

Mistral 7B is a 7.3B parameter model that:

*   Outperforms Llama 2 13B on all benchmarks
*   Outperforms Llama 1 34B on many benchmarks
*   Approaches CodeLlama 7B performance on code, while remaining good at English tasks
*   Uses Grouped-query attention (GQA) for faster inference
*   Uses Sliding Window Attention (SWA) to handle longer sequences at smaller cost

We’re releasing Mistral 7B under the Apache 2.0 license, it can be used without restrictions.

*   [Download it](https://files.mistral-7b-v0-1.mistral.ai/mistral-7B-v0.1.tar) and use it anywhere (including locally) with [our reference implementation](https://github.com/mistralai/mistral-src)
*   Deploy it on any cloud (AWS/GCP/Azure), using vLLM [inference server and skypilot](https://docs.mistral.ai/cloud-deployment/skypilot)
*   Use it on [HuggingFace](https://huggingface.co/mistralai)

Mistral 7B is easy to fine-tune on any task. As a demonstration, we’re providing a model fine-tuned for chat, which outperforms Llama 2 13B chat.

### Technologie
`#Code` `#Data` `#ML Platform` 

**Lien :** [Site ](https://mistral.ai)

### Date de création
23/05/2023

### Business Modèle
`#Open Source` 

## Fondateurs / CEO
Guillaume Lample, Arthur Mensch et Timothée Lacroix

### Continent
`#Europe` 

### Pays
`#France` 

## Dernier Round
105000000

### Champ d'action
`#Tout secteur` 



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