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Keyword: gemma4

Repository:drumih/turbo-fieldfare3 Sept 2026
TurboFieldfare: Gemma 4 26B-A4B Inference in 2 GB RAM on Apple Silicon
TurboFieldfare is a dedicated Swift and Metal runtime designed to run Google's Gemma 4 26B-A4B on Apple Silicon Macs within an approximately 2 GB RAM budget. It avoids loading the full 14.3 GB model into memory by keeping only the 1.35 GB core and KV cache in RAM while streaming the required mixture-of-experts weights from SSD on demand.
6.6kstarsSwift
From Video: AI Weekly Updates: Open-Source Model Surge, Agent Harnesses, and Meta's AI Reality Check
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TurboFieldfare: Gemma 4 26B-A4B Inference in 2 GB RAM on Apple Silicon

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