Mastodon discussion Oct 3

GPU 없이 소비자용 노트북에서 180억 파라미터 LLM을 구동하는 POCKET-Darwin-180B. 4비트 GGUF 양자화로 360GB→111GB 압축, 약 $1,400 하드웨어로 로컬 추론 가능.#ai #mac...

GPU 없이 소비자용 노트북에서 180억 파라미터 LLM을 구동하는 POCKET-Darwin-180B. 4비트 GGUF 양자화로 360GB→111GB 압축, 약 $1,400 하드웨어로 로컬 추론 가능.#ai #machinelearning #opensource #llm #software #coding #development...

GitHub Trending repo Oct 2

DaragonTech/DLaya: Fast local AI decisions in Delphi and Free Pascal. A binding for LibLayaX that runs the Laya typed-decision model in-process: no server, no Python. One unit, Laya.pas, with a TLayaAgent class. Windows, Linux and macOS, CPU or GPU, 64-bit. An open-source alternative to Jev

Fast local AI decisions in Delphi and Free Pascal. A binding for LibLayaX that runs the Laya typed-decision model in-process: no server, no Python. One unit, Laya.pas, with a TLaya...

GitHub Trending repo Oct 2

DaragonTech/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 in-process: no server, no Python. Windows, Linux and macOS, x64 and ARM64, CPU or GPU. An open-source alternative to Jev

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, Lin...