{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Good Tech Companies ","title":"FLock.io Launches Qwen-powered, Open-Source Decision Model for Local Edge Deployment","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/29ee3d47\"></iframe>","width":"100%","height":180,"duration":411,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/flockio-launches-qwen-powered-open-source-decision-model-for-local-edge-deployment.\nFLock.io launches Qwen-powered, open-source decision model for local edge deployment.\nCheck more stories related to undefined at: https://hackernoon.com/c/undefined.\n            You can also check exclusive content about #decentralize-ai, #flock.io, #open-source-decision-model, #decision-model, #data-privacy, #open-source-ai, #press-release, #good-company,  and more.\nThis story was written by: @pressreleases. Learn more about this writer by checking @pressreleases's about page,\n            and for more stories, please visit hackernoon.com.\nFLock.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.","thumbnail_url":"https://img.transistorcdn.com/HZ9CRzf5js9DK86xzUVMWBRbXYwg4dA8xVXJGVzpL6Y/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xMTNl/MjgwMmI0ZmEzNThj/YmJiOWNiN2UyZmRm/MzY3My5qcGVn.webp","thumbnail_width":300,"thumbnail_height":300}