LLM locaux
llama.cpp
LLM inference in C/C++
★ 130,2 k étoilesMIT
Voir le guide →kalosm est un projet de LLM locaux open source, créé par floneum (floneum/kalosm sur GitHub). Il compte 2 229 étoiles sur GitHub et 135 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 2 octobre 2026.
Run controllable pre-trained AI models locally, written in Rust.
Pull it into your Rust project.
Pick a pre-trained model for your task.
Define the structure generations must follow.
Infer entirely on the user's machine.
Models run on-device, no cloud.
Outputs follow your required structure.
Embeds directly in Rust applications.
Start from working models fast.
Designed for quick model loading.
Permissive for commercial embedding.
Download the source and move into the project folder.
git clone https://github.com/floneum/kalosm.git
cd kalosmEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandThe model is forced to output valid structures like JSON schemas, not free text.
Apache 2.0 licensed — commercial use allowed with attribution.
Pre-trained models including Llama-family options; check the docs.
It is a Rust-native framework with built-in structured generation.
Local inference benefits from one, but CPU options exist.
LLM inference in C/C++
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.