Ollama Local AI Runtimes v0.40.4-rc1: Add Kev decision scoring to MLX (#18976)

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Derived & scientifically synthesized from Ollama Local AI Runtimes.
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Policy: Zero Trackers | Zero Ads | Objective Engineering Peer-Synthesis
Key Architectural Takeaway

Add Kev decision scoring to MLX Load Kev models with their FP32 decision head and release metadata.

Executive Summary

Add Kev decision scoring to MLX Load Kev models with their FP32 decision head and release metadata. Support System One scoring with shared-state caching and Kev-specific limits.

Artificial Intelligence Architecture & Model Evaluation

From an artificial intelligence architecture, model weights governance, and inference efficiency perspective: - **Weights Accessibility & Sovereignty:** Evaluates whether weights are open for private self-hosting or locked behind centralized cloud APIs. - **Quantization & Edge Performance:** Kernel optimizations (4-bit/8-bit GGUF, AWQ, EXL2) allow high tokens-per-second on consumer GPUs and Apple Silicon. - **Reasoning & Architectural Scaling:** Scrutinizes mixture-of-experts (MoE), attention mechanisms, and fine-tuning datasets against open community benchmarks.

Impact on the Open Ecosystem

Protects developers and enterprises from proprietary black-box entrapment, fostering auditable, sovereign AI infrastructure.