llama.cpp

The C/C++ engine powering local inference
Run LLMs locallyInference library (C/C++)MITRuns locallyC/C++Advanced
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What is llama.cpp?

llama.cpp is the high-performance C/C++ inference engine that underpins most local LLM tools, supporting GGUF models with aggressive quantization across CPUs and GPUs.

Why people choose llama.cpp

llama.cpp at a glance

CategoryRun LLMs locally
TypeInference library (C/C++)
LicenseMIT
Runs locallyYes
Built withC/C++
Skill levelAdvanced
Best fordevelopers who want maximum control and portability

Open-source alternatives to llama.cpp

Other open-source run llms locally tools worth comparing:

OllamaRun open LLMs locally from one commandLM StudioBrowse, download and chat with local modelsJanOpen-source, offline ChatGPT-style desktop appGPT4AllPrivate local AI that runs on CPULocalAIA drop-in OpenAI API you self-hostText Generation WebUIFeature-rich web UI for local modelsKoboldCppSingle-file local model runnerMLC LLMRun LLMs on any device, even phonesllamafileOne executable file = model + runtimeexoRun big models across your everyday devicesCortexOllama-style runtime from the Jan teamNexa SDKRun any model on any device — CPU, GPU, NPURamaLamaRun models as OCI containersGPUStackManage GPU clusters for running models

llama.cpp head-to-head

llama.cpp vs Ollamallama.cpp vs LM Studiollama.cpp vs Janllama.cpp vs GPT4Allllama.cpp vs LocalAIllama.cpp vs Text Generation WebUIllama.cpp vs KoboldCppllama.cpp vs MLC LLMllama.cpp vs llamafilellama.cpp vs exollama.cpp vs Cortexllama.cpp vs Nexa SDKllama.cpp vs RamaLamallama.cpp vs GPUStack

FAQ

Is llama.cpp free?

llama.cpp is free and open-source (MIT license), so you can use, self-host and modify it at no cost.

Can I run llama.cpp locally?

Yes. llama.cpp is designed to run on your own machine or server, keeping your data private.

What is the best alternative to llama.cpp?

Popular open-source alternatives include Ollama, LM Studio, Jan. See the comparisons above to choose.

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