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FreeToken demonstrates a significant advancement in local AI inference by enabling massive Mixture-of-Experts models to run efficiently on consumer-grade hardware through dynamic memory management. This optimization directly addresses the critical bottleneck of first-token latency, making high-parameter coding agents viable for personal devices without relying on cloud infrastructure. The open-sourcing of this engine under Apache 2.0 further accelerates the democratization of powerful local AI capabilities.
FreeToken From Berkley Makes Your PC an AI Data Centre

Qwen3.6, a powerful 35B model, now runs on just 8GB of GPU memory thanks to FreeToken, a new inference engine from UC Berkeley.
University of California, Berkeley researchers have open-sourced FreeToken, a local inference engine that runs the Qwen3.6-35B language model on an 8GB GPU, despite a 35B model…
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