Mistral AI 在 GitHub 上的公共存在展示了其在开源领域的活跃性。该组织的公共仓库包括多种编程语言,如 Python 和 Jupyter Notebook,涵盖了重要项目,如 mistral-inference 和 mistral-vibe。这些资源为开发者提供了高效的工具和库,助力人工智能模型的实现与优化。
Official inference library for Mistral models
Minimal CLI coding agent by Mistral
此仓库未提供描述。
此仓库未提供描述。
Official inference library for pre-processing of Mistral models
此仓库未提供描述。
Python client library for Mistral AI platform
JS Client library for Mistral AI platform
TS Client library for Mistral AI platform
此仓库未提供描述。
此仓库未提供描述。
A high-throughput and memory-efficient inference and serving engine for LLMs
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Base template to register and invoke workflows
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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.
Base template to build, manage and improve search engines
A protocol for connecting any editor to any agent
Extensions for the Zed editor
Mistral AI documentation for SageMaker
Prometheus instrumentation library for Python applications
Distributed KV cache coordinator
Gateway API Inference Extension
Inference scheduler for llm-d
mistralai 在 GitHub 上主要开发与人工智能相关的项目,包括库和工具,如 mistral-inference 和 mistral-vibe。这些项目为用户提供了强大的功能以支持模型的推理和操作。
mistralai 的公共仓库主要使用 Python、Jupyter Notebook 和 JavaScript 等编程语言。这些语言的选择帮助其实现高效的数据处理和模型训练。
是的,mistralai 的所有仓库都是公开的。这意味着任何人都可以访问、查看和使用这些开源项目,促进了社区的协作与知识共享。