Skip to main content

Mistral-common is a library of common utilities for Mistral AI.

Project description

Mistral AI

Mistral-common

PyPI version Tests Documentation Python version License

What is it?

mistral-common is a set of tools to help you work with Mistral AI models.

We open-source the tokenizers, validation and normalization code that can be used with our models.

This ensures that you can take full advantage of our models for the following features:

  • tokenization of text, images and tools calls.
  • validation and normalization of requests, messages, tool calls, and responses. This is built on top of the Pydantic library.

We also version our tokenizers to guarantee backward compatibility for the models that we release.

For who ?

This library is for you if you want to:

  • use our models in your own application.
  • build your own models and want to use the same tokenization and validation code as we do.

How to use it ?

You can install the library using pip:

pip install mistral-common

We propose different dependencies to install depending on your needs:

  • image: to use the image tokenizers.
  • audio: to use the audio tokenizers.
  • hf-hub: to download the tokenizers from the Hugging Face Hub.
  • sentencepiece: to allow the use of SentencePiece tokenizers. This is now optional as we only release Tekken tokenizers for recent models.
  • [Experimental] server: to use our tokenizers in a server mode.

Each dependency is optional and can be installed separately or all together using the following commands:

pip install "mistral-common[image]"
pip install "mistral-common[audio]"
pip install "mistral-common[hf-hub]"
pip install "mistral-common[sentencepiece]"
pip install "mistral-common[server]"
pip install "mistral-common[image,audio,hf-hub,sentencepiece,server]"

For more information, please refer to the documentation.

How to contribute ?

We welcome contributions to this library. All of our features are tested to ensure best usage. But if you encounter a bug, find difficulties in using mistral-common, please open an issue on our GitHub repository.

If you want to contribute to the code, please fork the repository and open a pull request. We will review your changes and merge them if they are relevant to the library.

# Clone the repository
git clone https://github.com/<your_fork_username>/mistral-common.git
cd mistral-common

# Create a virtual environment and install the dependencies
uv venv
source .venv/bin/activate
uv sync --frozen --all-extras --group dev # --group docs if you want to build the documentation

# Install the pre-commit hooks
uv run pre-commit install

License

This library is licensed under the Apache 2.0 License. See the LICENCE file for more information.

You must not use this library or our models in a manner that infringes, misappropriates, or otherwise violates any third party’s rights, including intellectual property rights.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mistral_common-1.8.6.tar.gz (6.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mistral_common-1.8.6-py3-none-any.whl (6.5 MB view details)

Uploaded Python 3

File details

Details for the file mistral_common-1.8.6.tar.gz.

File metadata

  • Download URL: mistral_common-1.8.6.tar.gz
  • Upload date:
  • Size: 6.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.5

File hashes

Hashes for mistral_common-1.8.6.tar.gz
Algorithm Hash digest
SHA256 c61702720093f7a06508e81923917b04e35062b9ff396b8512b9c4d1139767ee
MD5 62c5aec372d8894e8a70c203d6b0df31
BLAKE2b-256 233d2ce630343f4574ac5150e355dc15bf95e8ce18954aa0f5949e195ffde382

See more details on using hashes here.

File details

Details for the file mistral_common-1.8.6-py3-none-any.whl.

File metadata

File hashes

Hashes for mistral_common-1.8.6-py3-none-any.whl
Algorithm Hash digest
SHA256 dd8c0e55b397e8167751eb3da147cf23fd970824673ca0e260aa58c888be1b0a
MD5 7c1dcf5359bc9af16f597d57f7033fb6
BLAKE2b-256 e6eb56ba11528da93b890fe985cbbaa17955064ff4b7019dd18566e3c3559b9e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page