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vllm vs llama.cpp

Updated

Short answer

Both are free, open-source LLM inference engines. llama.cpp is more popular (132k vs 95k GitHub stars). Pick vllm if you want the one with more momentum right now (+1.2k stars this week); pick llama.cpp if you want the bigger community (132k vs 95k GitHub stars).

Side by side

vllmllama.cpp
CategoryInference & servingInference & serving
GitHub stars95,484132,350
Stars this week+1,217+539
Last updatetodaytoday
LicenseApache-2.0MIT
Commercial use
LanguagePythonC++
Runs on Mac
Runs without a GPU
GPU memoryNot statedNot stated
Needs a paid API keyNoNo
Self-hostable
Trending this week––

Hardware details are as stated by each project and may be incomplete.

Choose vllm if…

High-throughput inference engine for LLMs.

  • you want the one with more momentum right now (+1.2k stars this week)
  • you don't have a GPU
  • your team works in Python
More about vllm →

Choose llama.cpp if…

LLM inference in C/C++

  • you want the bigger community (132k vs 95k GitHub stars)
  • your team works in C++
More about llama.cpp →

FAQ

Is vllm better than llama.cpp?

Both are free, open-source LLM inference engines. llama.cpp is more popular (132k vs 95k GitHub stars). Pick vllm if you want the one with more momentum right now (+1.2k stars this week); pick llama.cpp if you want the bigger community (132k vs 95k GitHub stars).

Which is better for commercial use, vllm or llama.cpp?

Both use permissive licenses (Apache-2.0 and MIT), so both allow commercial use.

Do vllm and llama.cpp run on a Mac?

Neither project states Mac support. Check their install guides before you start.

Are vllm and llama.cpp free?

Yes. Both are open source and free to use.