LLM local
llama.cpp
LLM inference in C/C++
★ 130,2k estrellasMIT
Ver la guía →kalosm es un proyecto de LLM local de código abierto de floneum (floneum/kalosm en GitHub). Tiene 2.229 estrellas en GitHub y 135 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 2 de octubre de 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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LLM inference in C/C++
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Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.