A Swift library that runs Alpaca prediction locally to implement ChatGPT like app on Apple platform devices.
It is basically a wrapper for alpaca.cpp that provides a simple Swift API for it.
It uses Wu Caize's mmap implementation to get around memory limits.
import AlpacaChat
// Load model and instantiate a chat.
let model = try await Model.load(from: URL(fileURLWithPath: "model.bin"))
let chat = Chat(model: model)
// Ask users to get prompt.
let prompt = readLine()!
// Run prediction and print tokens.
for try await token in chat.predictTokens(for: prompt) {
print(token)
}
Downlod ggml-alpaca-7b-q4.bin.
Place it in /Applications/AlpacaChatApp/Resouces/model.bin for example,
and build app and run it.
See actual command line and SwiftUI application for usages.
A command line chat app that can run on macOS.
To build, use Xcode or simply use swift command.
$ cd Applications/AlpacaChatCLI
$ swift build -c release
$ .build/release/AlpacaChatCLI -m /path/to/model.bin
A SwiftUI chat app that can run on iOS devices with large memory, such as iPad Pro.
To build app runs on actual device, you need to create your own AppID and provisioning profile that allows extended memory usage with an entitlement.
Place /Applications/AlpacaChatApp/Configurations/Local.xcconfig
to provide these your local development configurations for signing.
You may want to change scheme to use Release configuration for Run, or it may be seriously slow.