by DaragonTech
An in-process C API library runs the Laya typed-decision model locally across desktop platforms
Fast local AI decisions inside your application. A shared library and C API built on laya.cpp that runs the Laya typed-decision model in-process: no server, no Python. Windows, Linux and macOS, x64 and ARM64, CPU or GPU
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On X
LibLayaX 1.0.15 is out: an open-source alternative to the Jev API. It runs Laya decision models locally, from any language, on CPU or GPU. New: - a model in one .tar file - GPU under Wine, Apple Silicon included #OpenSource #AI #ML #LocalAI #Jev
Project: LibLayaX→
Introducing LibLayaX. Fast local AI decisions inside your application: a shared library and C API built on laya.cpp that runs the Laya typed-decision model. No server, no Python. Windows, Linux, macOS. x64 and ARM64. CPU or GPU #LocalAI #OpenSource #AI
Project: LibLayaX→AI decisions without an API bill LibLayaX is an opensource alternative to the Jev API: a shared library that runs the Laya typed-decision model inside your application. Your data never leaves the machine Win11, Linux, macOS. CPU or GPU #OpenSource #Jev
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