Gratis

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AI doesn't always need a huge cloud infrastructure to be useful. That's the idea behind the latest update from @TPN_Labs. With Gratis, users can run open-source AI models directly on their own devices, without complicated setup or relying on cloud-based chat services. What makes this interesting is the connection between TPN's model research and a product people can actually experience. TPN focuses on making AI models smaller and more capable. @Gratis_AI makes those models easier to access and use. A practical step toward making AI more accessible and private. Definitely an update worth checking out.

Ever wanted to try an AI model without handing your prompts to another cloud service, creating an account, or worrying about usage limits? That’s the idea behind @Gratis_AI, now introduced by @TPN_Labs. Gratis is a free product for running open-source AI models directly on your own device. You can use it in a browser tab or install the desktop app for higher performance. Simply pick a model, or load one from @huggingface, and the flow is straightforward: Choose model → Download it to your device → Run it locally → Chat. The product is free, requires no account or setup, and has no usage limits. And according to the launch details, your prompts and conversations stay on your device. That’s appealing for anyone who wants to explore AI without signing up for another service or routing every conversation through the cloud. Gratis isn’t just another chatbot with a free tier. It gives people a way to run models on hardware they already own. [Bitcast Brief]

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I've been testing @Gratis_AI on my MacBook M1 Pro, and it's amazing to see these open-source AI models run smoothly without having to install or configure anything. Literally anyone can get started. Open it, pick a model and you're up and running. Plug and play. Great example of the real-world utility @TPN_Labs is bringing to #Bittensor with SN65.

ChatGPT knows more about you than your best friend does. Gratis couldn't read your chats if it tried why? the model runs on your machine @TPN_Labs launched Gratis on Nov 2. Open source AI inside a browser tab, or a desktop app for more power free, no setup, no signup pick a model, or load any model from Hugging Face it downloads, it runs, locally no account, no credits, no cloud TPN builds small, capable models on Bittensor SN65 Gratis runs them one click, zero servers

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

Big update from @TPN_Labs TPN just introduced Gratis, a free way to run open-source AI models directly on your own device. No complicated setup. No need to send every prompt to a cloud server. You can load models from @huggingface and run them locally through your browser or desktop app, keeping your conversations private by design. What I like about this launch is how it connects with TPN's core mission. TPN works on making AI models smaller and more efficient. Gratis brings that work directly to everyday users. From model optimisation to a product people can actually use. Another interesting development from Bittensor SN65. $TAO 🧠 Try it: gratis-ai.com