Google’s Experimental MediaPipe LLM Inference API allows you to bringlarge language modelsto your Android and iOS devices. Furthermore, the experimental API can also run LLMs on web platforms. In addition, the API provides initial support for Gemma, Falcon, Phi 2, and Stable LM. ...
Running LLMs locally on Android devices via the MLC Chat app offers an accessible and privacy-preserving way to interact with AI models. The performance depends heavily on your phone's hardware. This solution is ideal for users who need offline access to AI models, experiment with LLMs in re...
torchchat is a small codebase showcasing the ability to run large language models (LLMs) seamlessly. With torchchat, you can run LLMs using Python, within your own (C/C++) application (desktop or server) and on iOS and Android.Important Update February 3, 2025: torchchat has support ...
Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure. - RunLLM/aqueduct
Run LLM on 5090 vs 3090 - how the 5090 performs running deepseek-r1 using Ollama? - [briefly] 05:07 PM EST - Feb,20 2025 - post a comment From 1.5b to 32b deepseek-r1: A side by side comparison between the RTX 5090 and RTX 3090 GPU running multiple sized deepse...
or your cloud VM has Intel Data Center GPU Max and Flex Series GPUs. If yes, please enjoy the magical features of LLM by llama.cpp on Intel GPUs. We welcome developers to try and contribute to SYCL backend to add more features and optimization on Intel GPU. It’s a good project to ...
For running Large Language Models (LLMs) locally on your computer, there's arguably no better software than LM Studio. LLMs like ChatGPT, Google Gemini, and Microsoft Copilot all run in the cloud, which basically means they run on somebody else's computer. Not only that, they're particul...
We’ll explore three powerful tools for running LLMs directly on your Mac without relying on cloud services or expensive subscriptions. Whether you are a beginner or an experienced developer, you’ll be up and running in no time. This is a great way to evaluate different open-source models ...
The best part is that PocketPal AI is also available on iOS, and it doesn’t cost a dime, unlike Apollo AI and Private LLM. On that note, here is how to get started. First and foremost, install the PocketPal AI app. Next, launch the app and tap on “Go to Models.” ...
Did you know that you can run your very own instance of a GPT based LLM-powered AI chatbot on your Ryzen ™ AI PC or Radeon ™ 7000 series graphics card? AI