Local LLM
llama.cpp
LLM inference in C/C++
★ 130.2k starsMIT
View guide →Run controllable pre-trained AI models locally, written in Rust.
kalosm is an open-source local llm project by floneum (floneum/kalosm on GitHub). It has 2,229 GitHub stars and 135 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 2 October 2026.
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++
A high-throughput and memory-efficient inference and serving engine for LLMs
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Free and open — grab the source, star the repo, and start creating.