Tether recently demonstrated its newly launched QVAC system, successfully running the LLAMA 3.2 (1 billion parameters) model on mobile devices using llama.cpp, achieving efficient local inference. QVAC is a universal inference and fine-tuning runtime designed to adapt to multiple terminal devices, including smartphones, laptops, and servers. It currently supports multiple models and will expand to support more models in the future.
Tether demonstrates QVAC, running LLM inference and fine-tuning engine locally
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