Models converted to Apple's Core AI format for on-device inference on iPhone, iPad and Mac — LLMs, VLMs, ASR, TTS and a vision zoo.
Daisuke Majima (MLBoy) PRO
mlboydaisuke
AI & ML interests
On-device AI. Core AI model zoo (60+ models) · devicemark iPhone LLM leaderboard · author of "The Art of Core AI" → github.com/john-rocky
Recent Activity
updated a collection about 11 hours ago
LiteRT Conversions - shipped to litert-community updated a collection about 11 hours ago
LiteRT Conversions - shipped to litert-community updated a model about 11 hours ago
litert-community/sarashina2.2-1b-instruct-v0.1Organizations
Models converted to Apple's Core AI format for on-device inference on iPhone, iPad and Mac — LLMs, VLMs, ASR, TTS and a vision zoo.
PyTorch models exported to ExecuTorch .pte for on-device inference — XNNPACK (CPU, portable) and Core ML builds, each parity-checked.
Models I converted to LiteRT and shipped to litert-community: LLMs, VLMs, embeddings, TTS, ASR, and a vision zoo. Measured on-device.
PyTorch models converted to Core ML for on-device inference on iPhone, iPad and Mac.