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Source channel @githubtrending · Post #15432 · Jan 23

#jupyter_notebook#chinese_llm#chinese_nlp#finetune#generative_ai#instruct_gpt#instruction_set#llama#llm#lora#open_models#open_source#open_source_models#qlora AirLLM is a tool that lets you run very large AI models on computers with limited memory by using a smart layer-by-layer loading technique instead of traditional compression methods. You can run a 70-billion-parameter model on just 4GB of GPU memory, or even a 405-billion-parameter model on 8GB, without losing model quality. The benefit is that you can use powerful AI models on affordable hardware without expensive upgrades, and the tool also offers optional compression features that can speed up performance by up to 3 times while maintaining accuracy. https://github.com/lyogavin/airllm

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Libreware

@libreware · Post #1321 · 08/29/2024, 08:23 PM

__ __ _ __ / /_____ ____ / /_(_) /__ / __/ __ \/ __ \/ __/ / //_/ / /_/ /_/ / /_/ / /_/ / ,< \__/\____/\____/\__/_/_/|_| tootik v0.12.0 [https://github.com/dimkr/tootik] tootik is a federated nanoblogging service for the small internet. tootik allows people to participate in the fediverse using their Gemini, Gopher or Finger client of choice and makes the fediverse lighter, more private and more accessible. tootik's interface strips content to bare essentials (like text and links), puts the users in control of the content they see and tries to "slow down" the fediverse to make it more compatible with the slower pace of the small internet. It's a single executable that handles both the federation (using ActivityPub) and the frontend (using Gemini) aspects, while sqlite takes care of persistency. It should be lightweight and efficient enough to host a small community even on a cheap server, and hopefully, be easy to hack on. tootik implements only a small subset of ActivityPub, and probably doesn't really conform to the spec. Changelog: [https://github.com/dimkr/tootik/releases/tag/0.12.0] #Gemini#Gopher#Guppy#Fediverse#ActivityPub