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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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Crypto M - Crypto News

@CryptoM · Post #65256 · 04/12/2026, 10:58 AM

🚀 RAVE Token Movement Sparks Interest Among Investors Analyst @ai_9684xtpa posted on X about a notable transaction involving the RAVE token. An investor, identified as @EnHeng456 enai.bnb, purchased 46,336.76 RAVE tokens at an average price of $0.4556 on the second day of its launch. The tokens were held until 48 days ago, when they were transferred to Aster at a price of $0.39 per token, with the purpose of the transfer remaining unclear. Recently, 41,025 tokens were moved from Aster, making the investor one of the top nine holders on the BSC network. If the tokens had not been sold, the investor's return rate would have reached 462%, with an unrealized profit of $86,000. #RAVE#TokenMovement#Investors#BSC#Transaction#Aster#Crypto#Blockchain#Investment#ReturnRate#UnrealizedProfit#X