head to head · open source

llama.cpp vs llamafarm

llama.cpp has 133,181 GitHub stars, 25,063 forks, 2,464 open issues and last shipped yesterday. llamafarm has 836 stars, 59 forks, 55 open issues and last shipped 5 months ago. llama.cpp leads on adoption by 15,831% (133,181 vs 836 stars). llama.cpp is written in C++ under MIT; llamafarm is written in Python under Apache-2.0. llama.cpp has attracted 19% as many forks as stars, llamafarm 7%. llama.cpp was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

llama.cpp ★ 133K llamafarm ★ 836 category AI & Machine Learning

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Side by side

	llama.cpp	llamafarm
GitHub stars	★ 133K	★ 836
License	MIT	Apache-2.0
Written in	C++	Python
Last push	2026-11-02	2026-06-10
Forks	⑂ 25K	⑂ 59
Self-hosting	Yes	Yes
Data ownership	Your server	Your server

pick llama.cpp if

You weight community size — 133K stars and counting
You want the MIT license terms
Your stack matches C++
You value the larger contributor base for long-term maintenance

full llama.cpp profile →

pick llamafarm if

You want the llamafarm feature set and don't need the biggest community
You prefer the Apache-2.0 license terms
Your stack matches Python
You evaluated both and llamafarm fits your workflow better

full llamafarm profile →

About llama.cpp

llama.cpp LLM inference in C/C++ ggml / ops / maintainer PRs%20sort%3Aupdated desc) / dev stats / lib llama API / llama server REST API Quick start A few options to get llama.cpp installed on your machine: Visit and follow the instructions Run with Docker see our Docker documentation Download pre built binaries from the releases page Build from source by cloning this repository check out our build guide Once installed: VLM session with llama cli Built in web UI against llama serve Description The main goal of llama.cpp is to enable LLM (and VLM) inference with minimal setup and state of the art performance on a…

read the full llama.cpp overview →

About llamafarm

LlamaFarm Edge AI for Everyone Enterprise AI capabilities on your own hardware. No cloud required. LlamaFarm is an open source AI platform that runs entirely on your hardware. Build RAG applications, train custom classifiers, detect anomalies, and run document processing—all locally with complete privacy. 🔒 Complete Privacy — Your data never leaves your device 💰 No API Costs — Use open source models without per token fees 🌐 Offline Capable — Works without internet once models are downloaded ⚡ Hardware Optimized — Automatic GPU/NPU acceleration on Apple Silicon, NVIDIA, and AMD Desktop App Downloads Get…

read the full llamafarm overview →

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Frequently asked questions

Is llama.cpp or llamafarm more popular?

llama.cpp has 133,181 GitHub stars and llamafarm has 836. llama.cpp has the larger community by that measure.

Are llama.cpp and llamafarm free?

Both are open source. llama.cpp is licensed under MIT and llamafarm under Apache-2.0. Neither carries a licence fee.

What is the difference between llama.cpp and llamafarm?

llama.cpp is written in C++ and llamafarm in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, llama.cpp or llamafarm?

Choose llama.cpp if you want the larger community (133,181 stars) or its MIT licence terms. Choose llamafarm if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.