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Card: macOS/iOS 27 GA wording (beta requirement dropped; beta findings dated)
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Card: DeviceMark row (2026-09)
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Card metadata: library_name coreai, ensure coreai tag
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Card: definition line (Core AI, 2026-09)
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Card: base_model_relation: quantized (so the conversion lists under the base model's Quantizations, not Finetunes)
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card: GSM8K 100q across all three runtimes (98/97/95) + the two-pass budget note
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card: record the stop-token defect and its fix
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fix: declare <|eot|> as a stop token — the bundle never terminated
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card: correct the machine — Mac Studio M4 Max, not MacBook Pro
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card: add the raw-MLX arm — Core AI ties MLX, both beat the ExecuTorch build by 14%
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Card: lossless n-gram spec-decode on this bundle (1.34x chat / 1.96x code / 1.84x tool calling), no drafter, no re-export
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card: same-machine head-to-head vs the ExecuTorch Metal build
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Muse-Glimmer-30B text decoder -> Core AI: decode int4hu (--head-sym), token-exact vs fp16 oracle, 26.69 tok/s on M4 Max
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initial commit
