Every model card in this zoo’s own namespaces (mlboydaisuke, coreai-community) opens with the
same one-sentence definition of Core AI, placed right after the YAML front matter. The related
repos (coreai-model-zoo, coreai-kit, apple-silicon-llm-bench, awesome-core-ai,
coreai-assets) open with the same sentence. Adopted 2026-09-05.
Core AI is Apple’s on-device ML runtime in iOS 27 / macOS 27 and the successor to Core ML: PyTorch models are exported with Apple’s
coreai-torch(LLMs:coreai.llm.export) into.aimodelbundles that run on the GPU or the Neural Engine, e.g. Qwen3-8B 4-bit decodes at 94 tok/s on an M4 Max GPU, MLX 90 under the same protocol (apple-silicon-llm-bench, macOS 27 beta 26A5353q, 2026-06-11).
llm-benchmark vs
mlx_lm benchmark (mlx-lm 0.31.3), 512-token prompt / 1024 generated / mean of 5, macOS 27.0
beta 26A5353q, 2026-06-11, raw logs under results/raw/2026-06-11-m4max-coreai-matrix/. It
was chosen because it is the row whose headline, detail table and raw logs agree, on
current-generation (27β) artifacts. The Qwen3-0.6B iPhone numbers depend on the export
generation and were not used.tools/card_first_line.txt (one line). python3 tools/card_first_line.py dry-runs and
prints the diff per card; --replace rewrites a card that carries an older variant (recognised
by the leading “Core AI is “); --go writes one commit per card
(Card: definition line (Core AI, YYYY-MM)). Update the repo READMEs by hand.Real-ESRGAN-CoreAI and Moebius-CoreAI in
coreai-community (created by a contributor).coreai-community carry the sentence too, above their “Mirror of” line.litert-community carry a sibling sentence (LiteRT / litert-torch, one
parity number) with the same tool, its targets and sentence kept outside this repo. When the wording or the
freshness rule changes, update both sets.--replace.