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Source channel @githubtrending · Post #15263 · Nov 2

#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

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Libreware

@libreware · Post #1092 · 06/20/2022, 01:50 PM

Andriller https://github.com/den4uk/andriller Software utility with a collection of forensic tools for smartphones. It performs read-only, forensically sound, non-destructive acquisition from Android devices. It has features, such as powerful Lockscreen cracking for Pattern, PIN code, or Password; custom decoders for Apps data from Android (some Apple iOS & Windows) databases for decoding communications. Extraction and decoders produce reports in HTML and Excel formats. Features Automated data extraction and decoding Data extraction of non-rooted without devices by Android Backup (Android versions 4.x, varied/limited support) Data extraction with root permissions: root ADB daemon, CWM recovery mode, or SU binary (Superuser/SuperSU) Data parsing and decoding for Folder structure, Tarball files (from nanddroid backups), and Android Backup (backup.ab files) Selection of individual database decoders for Android apps Decryption of encrypted WhatsApp archived databases (.crypt to .crypt12, must have the right key file) Lockscreen cracking for Pattern, PIN, Password (not gatekeeper) Unpacking the Android backup files Screen capture of a device's display screen 📡@NoGoolag📡@Libreware #andriller#android#forensics#backup