FLock.io Launches Qwen-powered, Open-Source Decision Model for Local Edge Deployment
FLock.io launches Qwen-powered, open-source decision model for local edge deployment.Built on Qwen3.5-2B, FLock.io and Oxford University researchers have launched an open-source AI decision model that outperforms Jev and larger LLMs in various benchmarking tests and can be deployed on local hardware to protect data privacy. It has low latency, delivering sub-31ms local inference and processing 32 decisions per second on laptop GPUs for a fraction of a cent.
LONDON, October 14, 2026 – FLock.io, a developer of privacy-preserving AI infrastructure, has launched THIS/THAT Model: an open-source, lightweight “System One” decision model built on the Qwen3.5-2B foundation model. It can be run locally, ensuring data sovereignty. It was developed with researchers from the University of Oxford and with the support of Alibaba Cloud.
The launch joins a wave of decision models that have been released in recent weeks, which provide a low-cost, small, high-speed alternative to chatbots where generating text...
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