Core AI model zoo

Put one model in your Swift app

This page was written for CoreAIKit 0.4.1. The current version and its first-run steps are in CoreAIKit’s README.

CoreAIKit 0.4.1: requirements, install and first answer →

Start with qwen3-0.6b in the release’s built-in catalog. CoreAIKit downloads the matching platform bundle once and caches it; your prompts and inference stay on the device. The first download is about 352 MB on Mac (the separate iPhone variant is about 456 MB). Follow the Kit README for the exact tested OS/SDK and current device verification. A Mac run is not evidence for the iPhone variant.

import CoreAIKit

guard let modelID = ModelCatalog.builtin.entry(id: "qwen3-0.6b")?.modelID else {
    throw CoreAIKitError.modelNotAvailableOnPlatform(id: "qwen3-0.6b")
}
let chat = try await ChatSession(model: modelID)
let reply = try await chat.respond(to: "What is the capital of Japan?")
print(reply)

The same published release includes the ChatDemo app and CLI:

git clone --branch 0.4.1 --depth 1 https://github.com/john-rocky/coreai-kit
cd coreai-kit/Examples/ChatDemo
export DEVELOPER_DIR=/Applications/Xcode-27.0.0-Beta.5.app/Contents/Developer
swift run -c release chat-cli --model qwen3-0.6b --prompt "What is the capital of Japan?"

Adjust DEVELOPER_DIR to your installed beta 5 app if its name differs. Expect a text answer mentioning Tokyo after the initial download and model load. For a conversation, keep one ChatSession and call respond(to:) again. The GUI is in ChatDemo.xcodeproj; use My Mac or a physical iPhone with the required OS and SDK.

After that first success, try text-to-speech with Speak and VoxCPM 0.5B from the same release (a separate download, about 1.37 GB on Mac). Each model card below links its own runner, minimal Swift function and integration requirements.

For FoundationModels apps, KitLanguageModel(model: modelID) supplies a chat model to LanguageModelSession. Tool calling depends on the model’s dialect; guided generation also needs a compatible sequential engine. Check the capability matrix. The catalog includes non-chat tasks, which use their own Kit APIs.

If a run fails, start with the Kit README’s troubleshooting links and the observed error index. For details about using Apple’s adapter directly, see FoundationModels integration notes.

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