curl -fsSL https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-geniex/install.sh | sh
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
Nexa SDK runs text, vision, audio and image models locally across CPU, GPU and NPU backends, with a single unified API and OpenAI-compatible server.
| Category | Run LLMs locally |
| Type | Local runtime (SDK) |
| License | Apache-2.0 |
| Runs locally | Yes |
| Built with | Python |
| Skill level | Intermediate |
| Best for | developers targeting many device types from one codebase |
Other open-source run llms locally tools worth comparing:
OllamaRun open LLMs locally from one command
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
RamaLamaRun models as OCI containers
GPUStackManage GPU clusters for running modelsNexa SDK is free and open-source (Apache-2.0 license), so you can use, self-host and modify it at no cost.
Yes. Nexa SDK is designed to run on your own machine or server, keeping your data private.
Popular open-source alternatives include Ollama, LM Studio, Jan. See the comparisons above to choose.
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