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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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@githubtrending · Post #14906 · 07/03/2025, 01:00 PM

#typescript#ai#anthropic#artifacts#assistant_api#aws#azure#chatgpt#chatgpt_clone#claude#clone#dall_e_3#deepseek#gemini#google#librechat#o1#openai#plugins#vision#webui LibreChat is a free, open-source AI chatbot platform that lets you use many AI models like OpenAI, Anthropic, and AWS in one place. It offers advanced features such as secure code execution in multiple programming languages, AI assistants that can handle files and tools without coding, and the ability to generate images and diagrams directly in chat. You can search conversations easily, manage multiple chat threads, and customize the interface to fit your needs. LibreChat supports multiple languages, speech input/output, and secure multi-user access. It can be deployed locally or on the cloud, giving you flexibility and control over your AI experience. This means you get a powerful, customizable AI assistant without needing to pay for ChatGPT Plus or rely on a single provider[1][3][5]. https://github.com/danny-avila/LibreChat