#python#deep_learning#inference#llm#nlp#pytorch#transformer
Nano-vLLM is a small, fast, and easy-to-understand tool for running large language models offline. It matches the speed of bigger systems like vLLM but uses only about 1,200 lines of clean Python code, making it simple to read and modify. It includes smart features like prefix caching and tensor parallelism to boost performance. You can install it easily and run models like Qwen3-0.6B on your own GPU. This tool is great if you want fast, efficient AI inference without complex setups, ideal for learning, research, or small deployments on limited hardware.
https://github.com/GeeeekExplorer/nano-vllm
This is Probably the Best Video Downloader App (And it is Free and Open Source) | itsFOSS
VidBee allows you to download videos from YouTube, Facebook, X, Instagram, etc. In fact, it supports over 1,800 websites.
It is built on top of popular command line tools like yt-dlp and #ffmpeg. For the interface, it uses the Electron framework. I understand that some people dislike Electron framework as it runs a web browser underneath, but the 'advantage' of this framework is that you get the same interface in all the operating systems. At least, it's an advantage for the developers as they don't have to build the interface separately for #Linux, #Windows and #macOS.
The source code for VidBee is available on its GitHub repository.
#VidBee - Free Open Source Video Downloader
https://vidbee.org/