BWhat changed
Combined a parallel-track mixture-of-experts server architecture with a device-model design using KV-cache sharing and two-bit quantization-aware training, alongside multilingual/multimodal post-training.
Scientific scope
Combined a parallel-track mixture-of-experts server architecture with a device-model design using KV-cache sharing and two-bit quantization-aware training, alongside multilingual/multimodal post-training. The original 2025 architecture report is one paired device/server contribution, not separate achievements for every feature or language. Provider benchmark evaluations and secure-compute context do not establish a general correctness, privacy or safety guarantee.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. The original 2025 architecture report is one paired device/server contribution, not separate achievements for every feature or language. Provider benchmark evaluations and secure-compute context do not establish a general correctness, privacy or safety guarantee.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
- Apple Intelligence Foundation Language Models: Tech Report 2025
- Apple: parallel-track experts and low-bit device-model architecture — author/company record
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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