Локальные LLM
llama.cpp
LLM inference in C/C++
★ 130,2 тыс. звёздMIT
Смотреть руководство →kalosm — проект с открытым исходным кодом из категории «Локальные LLM» от floneum (floneum/kalosm на GitHub). У него 2 229 звёзд на GitHub и 135 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 2 октября 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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Run and fine-tune LLMs and diffusion models locally — faster training, smaller memory footprint.
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Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если kalosm вам не подходит.
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LLM inference in C/C++
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Соседние проекты из категории «Локальные LLM» в каталоге, ближайшие по числу звёзд к kalosm — продолжайте изучать полку по обе стороны от него.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.