@github.signals: This tool runs a 26-billion-parameter AI model on an 8GB Mac while using only around 2GB of system memory. You can now run a massive twenty-six-billion-parameter artificial intelligence model on an eight-gigabyte Apple Silicon Mac using only about two gigabytes of system memory. This is possible because turbo-fieldfare is a custom Swift and Metal engine built specifically to stream the model's massive neural experts directly from your solid-state drive only when they are needed for a token. By using a clever caching strategy and custom Apple graphics kernels, it keeps the core system memory footprint tiny while maintaining surprisingly fluid text generation speeds on standard consumer hardware. It is the perfect playground for anyone wanting to run heavy local AI without buying expensive hardware. Open source: drumih/turbo-fieldfare Follow for more open source project drops. #LocalAI #MacTok #AppleSilicon #AITools #LLM #MacTips #OpenSource #MachineLearning

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Wednesday 29 July 2026 22:30:00 GMT