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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 #980 · 09/24/2021, 03:11 PM

Briar 1.3.8 release today https://briarproject.org/news/2021-briar-1.3-released/ Official Briar fdroid repository: https://briarproject.org/fdroid/repo/?fingerprint=1FB874BEE7276D28ECB2C9B06E8A122EC4BCB4008161436CE474C257CBF49BD6 #briar#im#p2p

Libreware

@libreware · Post #1143 · 05/26/2023, 01:59 PM

6 Best Secure Messaging Alternatives to WhatsApp | Avoid the Hack – https://avoidthehack.com/best-secure-messengers The content of your messages and the metadata associated with them should be secure and private. Unfortunately many messengers out there fail to do this. Telegram operates in the cloud, and while this does have good portability across multiple devices and device types, the service provider (or anyone with access to the cloud server) could theoretically read them at any time with relative ease; Telegram stores messages on the third-party cloud provider's server. According to Telegram’s privacy policy, the service itself logs IP addresses and phone numbers. #Infosec#Session#SimpleXchat#Briar#Threema #Element#Telegram#privacy