Contributors

The people behind Flutter Edge AI

Flutter Edge AI is built in the open. The maintainers below look after its parts; everyone after them has work in it too.

Maintainers

Sasha Denisov

Sasha Denisov

@DenisovAV

Germany · Google Developer Expert for Flutter, Dart, Firebase and AI · co-organizer of Flutter Berlin

Lead maintainer

Created Flutter Edge AI and looks after the core API, the engines, the native builds and every release. Also created LiteTune, which fine-tunes a small model, converts it for LiteRT-LM and compares it with the model it came from.

Jhin Lee

Jhin Lee

@leehack

Canada · full-stack developer at Unity · Google Developer Expert for Flutter · organizer of Flutter and GDG Montreal

Created llamadart, which runs GGUF models through llama.cpp, and LiteRT-LM models, in Dart and Flutter on Android, iOS, macOS, Windows, Linux and the web. flutter_edge_ai_llama brings it to Flutter Edge AI. One of the project's earliest contributors.

Francesco Vezzani

Francesco Vezzani

@kekko7072

Italy · Tomorrow Tech (amperry) · Computer Engineer Master at University of Padua

Runs the models the operating system ships: Gemini Nano on Android and in Chrome, Apple Foundation Models on iOS and macOS, Phi Silica on Windows. The package sits on flutter_local_ai, his own plugin, which owns every native layer.

Samarthsinh Vala

Samarthsinh Vala

@samarthsinh2660

India · software engineer

Measures how much memory a model really takes, read from the OS on Android, iOS and macOS, and records it next to the timings in the benchmark. Also fixed LiteRT-LM on the GPU and on Windows ARM64.

Daisuke Majima (MLBoy)

Daisuke Majima (MLBoy)

@john-rocky

Japan · ex-Ultralytics · has converted 400+ open models to LiteRT, Core AI and ExecuTorch and measured them on phones; 200+ of them are in litert-community

Built installing a model straight from its Hugging Face repository, and the check that keeps it working against the live catalog as repositories change.