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.
Majima PRO
mlboydaisuke
AI & ML interests
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litert-community/MiniCPM5-1B:Add measured on-device speed table; note wi8 runtime requirement new activity about 3 hours ago
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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.