# Mistral 7B

Mistral 7B is an AI model released by Mistral on Sep 27 2023. It has 7B parameters, an 8k context window and open weight.

## Facts

| Field | Value |
| --- | --- |
| Model | Mistral 7B |
| Developer | Mistral |
| Release date | Wednesday, Sep 27 2023 |
| Licensing | Open Weight |
| Parameters | 7B |
| Context window | 8k |

## About Mistral 7B

Mistral 7B, released September 27, 2023 as a bare magnet link on X, was the debut model of the French startup and an instant classic: at 7 billion parameters it outperformed Llama 2 13B across benchmarks, using grouped-query and sliding-window attention to squeeze unprecedented quality from a small dense model. The Apache 2.0 license made it usable anywhere, by anyone.

It became one of the most fine-tuned and deployed open models ever — the default base for local assistants, edge deployments, and countless derivatives — and it established Mistral, then a months-old company, as Europe's frontier lab. The mixture-of-experts Mixtral 8×7B followed just ten weeks later.

## Questions and answers

### When was Mistral 7B released?

Mistral 7B was released by Mistral on Wednesday, Sep 27 2023.

### Who made Mistral 7B?

Mistral 7B was built by Mistral. French AI company building open and commercial models. Founded in 2023 by former Meta and DeepMind researchers.

### What is the context window of Mistral 7B?

Mistral 7B has a context window of 8k. That is the maximum amount of input plus output the model can hold in a single request.

### How many parameters does Mistral 7B have?

Mistral 7B is reported at 7B parameters.

### Is Mistral 7B open source?

Partly. Mistral 7B is an open-weight model: the trained weights are free to download and run locally or on your own infrastructure, but the training data and code are not fully released and the license may restrict some commercial uses. It is not open source in the strict sense.

### What came before and after Mistral 7B?

It was followed by Mixtral 8×7B on Dec 8 2023.


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Canonical page: https://aireleasetracker.com/model/mistral/mistral-7b
Site index: https://aireleasetracker.com/llms.txt
Source: AI Release Tracker (https://aireleasetracker.com). Most benchmark scores come from lab launch material; gathered results identify the leaderboard that published them.
