Introducing torchchat 🔥 A lightweight library to run LLMs locally across mobile, desktop and laptops powered by PyTorch. Learn more: https://hubs.la/Q02JpLWQ0 #llms #mobilellms #localai #pytorchllm #edge #ondeviceai
Much needed! Maybe will be able to see Diffusion models too for mobile devices , something like MobileDiffusion of google.
This is a much needed one!! thanks,
Hello, don't you think that it is high time to do a redesign to simplify this mess that is Pytorch? Take inspiration from TensorFlow on this point!
Much needed! Exciting development with the launch of **torchchat**! 🔥 This lightweight library makes it easier than ever to run LLMs locally on mobile devices, desktops, and laptops using PyTorch. This opens up new possibilities for on-device AI, ensuring privacy and faster processing. Curious about how local AI can transform your projects? Start exploring torchchat today and unlock the full potential of LLMs on your own devices! Ready to take your AI to the next level? Create your custom ChatGPT tailored to your data in just minutes! 📈 👉 https://bot.wordgptpro.com #LLMs #MobileLLMs #LocalAI #PyTorchLLM #EdgeComputing #OnDeviceAI #AI #MachineLearning #Innovation
This is exciting! Torchchat looks like a game-changer for running LLMs locally. Can't wait to see the performance improvements and the flexibility it brings to mobile and desktop applications. Great work, PyTorch team
Pytorch is in the game 🔥
Look forward to trying this for Llama 3.1 8B Parameters model
Awesome 😍
At first glance I read torchat. Which was a messenger service that used the Tor onion network 🤣
AI Engineer @appliedAI | Building the largest EU AI ecosystem Heilbronn @IPAI | Creator of the mlstarterkit.com | Previously @AUDI and @TUM
3moAwesome. I think it is quite important to note that, if I understood it correctly, that torchcat is not a competitor to LLM Inference engines such as HF TGI, vllm, Nvidia Triton, ... where one (single) deployment serves many users, but rather plays in the field of e.g. Ollama where each user deploys there own model locally for their own usage.