ローカルLLM
llama.cpp
LLM inference in C/C++
★ 130.2k スターMIT
ガイドを見る →kalosmは、floneumが公開しているオープンソースのローカルLLMプロジェクトです（GitHub: floneum/kalosm）。GitHubスターは2,229、フォークは135で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年10月2日です。
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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