A Swift library that runs Alpaca-LoRA 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.
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)
}
AlpacaChat
A Swift library that runs Alpaca-LoRA 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.
Model
Read alpaca.cpp, alpaca-lora, and llma.cpp, then create 4-bits quantized
ggmlmodel bin file.Place it in
/Applications/AlpacaChatApp/Resouces/model.binfor example, and build app and run it.Usage
See actual command line and SwiftUI application for usages.
Applications
/Applications/AlpacaChatCLIA command line chat app that can run on macOS.
To build, use Xcode or simply use
swiftcommand./Applications/AlpacaChatApp.xcodeprojA SwiftUI chat app that can run on iOS devices.
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.xcconfigto 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.