Ollama is a lightweight local runtime that downloads and runs open-weight models with a single command and exposes an OpenAI-compatible REST API on your machine.
| Category | Run LLMs locally |
| Type | Local runtime (CLI) |
| License | MIT |
| Runs locally | Yes |
| Built with | Go |
| Skill level | Beginner |
| Best for | developers who want a scriptable local model API |
Other open-source run llms locally tools worth comparing:
JanOpen-source, offline ChatGPT-style desktop app
GPT4AllPrivate local AI that runs on CPU
llama.cppThe C/C++ engine powering local inference
LocalAIA drop-in OpenAI API you self-host
Text Generation WebUIFeature-rich web UI for local models
KoboldCppSingle-file local model runner
MLC LLMRun LLMs on any device, even phones
llamafileOne executable file = model + runtime
exoRun big models across your everyday devices
CortexOllama-style runtime from the Jan team
Nexa SDKRun any model on any device — CPU, GPU, NPU
RamaLamaRun models as OCI containers
GPUStackManage GPU clusters for running modelsOllama is free and open-source (MIT license), so you can use, self-host and modify it at no cost.
Yes. Ollama is designed to run on your own machine or server, keeping your data private.
Popular open-source alternatives include LM Studio, Jan, GPT4All. See the comparisons above to choose.
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