The open-source inference engine behind most local AI apps: run quantized LLMs fast on CPU, GPU or Mac with minimal setup.
What llama.cpp does
- Official website: https://github.com/ggerganov/llama.cpp
- Best for: Developer Tools tasks — The open-source inference engine behind most local AI apps: run quantized LLMs fast on CPU, GPU or Mac with minimal setup.
- Pricing model: Free — check the official site for current plans.
Is llama.cpp free?
llama.cpp has a free plan. Visit the official website to sign up and check limits.
Related searches: ai coding tools • ai developer tools
Skill section
Pro prompt pack for llama.cpp
In llama.cpp: 'Implement [feature] in [file]. Follow existing patterns in this repo. Add tests. Don't change public APIs.' Review the full diff before accepting.
Paste this error + the surrounding 50 lines into llama.cpp: 'Explain the root cause, then propose the smallest fix that can't break [X].'
Ask llama.cpp to extract [duplicated block] into a tested helper: same behavior, new unit tests, no new dependencies.
Open source — run it yourself
How to download & run (5 minutes)
- Install Ollama from the official site (Windows / Mac / Linux, one installer).
- Open a terminal and pull a model:
ollama pull llama3.2 - Run it:
ollama run llama3.2— chat in your terminal, fully offline. - Developers: point any OpenAI-compatible code at
http://localhost:11434. For custom models, follow the README in the repo above.
Will it run on my device? (rough estimate)
99% — Runs smoothly — recommended setup.
External scores from other platforms.
No external scores yet for this tool.
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llama.cpp — FAQ
What is llama.cpp?
llama.cpp is a developer tools AI tool. The open-source inference engine behind most local AI apps: run quantized LLMs fast on CPU, GPU or Mac with minimal setup.
Is llama.cpp free?
llama.cpp's pricing model on CrewHub is listed as Free. Check the official website for the current plans and limits.
What are the best alternatives to llama.cpp?
CrewHub's closest developer tools alternatives are GitHub Copilot, Replit AI, Cursor. Open the Developer Tools category page to compare all of them.
How do I rate llama.cpp on CrewHub?
Use the CrewHub rating box on this page. Each visitor can leave one rating per tool, and the score is stored on the server so refreshing the page does not add extra votes.