The 45 repos behind github.com/john-rocky/windows-zoo: ONNX, OpenVINO IR and precompiled Intel NPU blob per model, measured on one Windows laptop.
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 model about 3 hours ago
mlboydaisuke/nemotron-asr-streaming-farsi-LiteRT published a model about 3 hours ago
mlboydaisuke/nemotron-asr-streaming-farsi-LiteRT updated a collection about 4 hours ago
LiteRT Conversions - shipped to litert-communityOrganizations
Community .aimodel bundles of Gemma 4 (E2B, E4B, 12B, 31B) for Apple Core AI on iOS 27 / macOS 27, with recipes and measured speeds.
PyTorch models exported to ExecuTorch .pte for on-device inference — XNNPACK (CPU, portable) and Core ML builds, each parity-checked.
PyTorch models converted to Core ML for on-device inference on iPhone, iPad and Mac.
Models that read a text and pick one of the options you write, each with a probability. LiteRT conversions for Android, all Apache-2.0.
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litert-community/laya-LiteRT
Text Classification • Updated • 880 • 4 -
litert-community/Laya-Multilingual-LiteRT
Text Classification • Updated • 1.32k • 6 -
litert-community/Laya-English-LiteRT
Text Classification • Updated • 501 • 4 -
litert-community/Julia-1-LiteRT
Text Classification • Updated • 137 • 1
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.
Models I converted to LiteRT and shipped to litert-community: LLMs, VLMs, embeddings, TTS, ASR, and a vision zoo. Measured on-device.
The 45 repos behind github.com/john-rocky/windows-zoo: ONNX, OpenVINO IR and precompiled Intel NPU blob per model, measured on one Windows laptop.
Models that read a text and pick one of the options you write, each with a probability. LiteRT conversions for Android, all Apache-2.0.
-
litert-community/laya-LiteRT
Text Classification • Updated • 880 • 4 -
litert-community/Laya-Multilingual-LiteRT
Text Classification • Updated • 1.32k • 6 -
litert-community/Laya-English-LiteRT
Text Classification • Updated • 501 • 4 -
litert-community/Julia-1-LiteRT
Text Classification • Updated • 137 • 1
Community .aimodel bundles of Gemma 4 (E2B, E4B, 12B, 31B) for Apple Core AI on iOS 27 / macOS 27, with recipes and measured speeds.
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.