Mistral AI maintains a public GitHub presence featuring a wide range of repositories primarily developed in Python, Jupyter Notebook, and JavaScript. Notable projects include mistral-inference, a library for Mistral models, and mistral-vibe, a minimal CLI coding agent. The organization is focused on open-source contributions and collaborative development.
Top languages
Public repositories
mistral-inference
Official inference library for Mistral models
mistral-vibe
Minimal CLI coding agent by Mistral
mistral-finetune
No description provided for this repository.
cookbook
No description provided for this repository.
mistral-common
Official inference library for pre-processing of Mistral models
megablocks-public
No description provided for this repository.
client-python
Python client library for Mistral AI platform
client-js
JS Client library for Mistral AI platform
client-ts
TS Client library for Mistral AI platform
mistral-evals
No description provided for this repository.
platform-docs-public
No description provided for this repository.
vllm-release
A high-throughput and memory-efficient inference and serving engine for LLMs
FastChat-release
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
workflows-starter-app
Base template to register and invoke workflows
transformers-release
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
TensorRT-LLM
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
search-starter-app
Base template to build, manage and improve search engines
agent-client-protocol
A protocol for connecting any editor to any agent
zed-extensions
Extensions for the Zed editor
sagemaker-docs
Mistral AI documentation for SageMaker
prom_client_python
Prometheus instrumentation library for Python applications
llm-d-kv-cache-manager-public
Distributed KV cache coordinator
gateway-api-inference-extension-public
Gateway API Inference Extension
llm-d-inference-scheduler-public
Inference scheduler for llm-d
Frequently asked questions
What does mistralai build on GitHub?
Mistralai develops several repositories focused on AI and machine learning, including libraries for model inference, CLI tools, and fine-tuning capabilities. Their projects facilitate the use and integration of Mistral models.
Which programming languages does mistralai use?
Mistralai primarily utilizes Python, Jupyter Notebook, and JavaScript for their projects. They also incorporate TypeScript, MDX, and Jinja in various repositories, showcasing a versatile approach to development.
Are mistralai's repositories public?
Yes, all of mistralai's repositories are publicly accessible on GitHub. This open approach allows developers and researchers to collaborate and contribute to their projects, enhancing the availability of AI tools.
Is this exposure intended?
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