Your open-source models can now run on your own machine without sending anything to the cloud. @TPN_Labs (Bittensor SN65) compresses models through competitive optimization. Miners shrink them under real hardware limits and benchmark floors. Validators re-run the tests. The smallest model that still clears the bar wins. @Gratis_AI then takes those models (or any model from @huggingface) and runs them locally in a browser or desktop app. But the caveat is that local inference still depends on your hardware. What’s notable: • Models are optimized on-chain. Recent competition cut a model from ~17GB to 7.71GB while improving the benchmark score from 66.57% to 74.93%. • Gratis requires no setup. Pick a model or load one from Hugging Face - it downloads once and runs on your device. • Privacy is default. Every prompt stays on your machine. Works offline after the initial download. • No API fees, no account required. Quick example: A model that previously needed a high-end GPU can now be compressed enough to run on a normal laptop, then used through Gratis without ever leaving your device. TPN builds small, capable models. Gratis runs them. #Bittensor #Subnet65 #TPN