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Source channel @githubtrending · Post #15432 · Jan 23

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#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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#jupyter_notebook#chinese_llm#chinese_nlp#finetune#generative_ai#instruct_gpt#instruction_set#llama#llm#lora#open_models#open_source#open_source_models#qlora
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SpotOnChain | Announcement

@spotonchain · Post #627 · 12/27/2023, 01:51 AM

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🚨 Early buyer 0x808 deposited 30K $AAVE ($3.08M) to #Coinbase and #OKX via #Cumberland at $102.7 ~4hrs ago. Notably, the whale used only 500K $USDC to buy 12.5M #LEND (later converted to 125K $AAVE) at $0.04 back in May 2020. And has only sold 30.9K $AAVE ($3.15M) via DEX, Coinbase, and OKX at $101.7 on avg so far. Current holding: 100K $AAVE ($10.2M). Estimated total profit: $12.85M! 👉 More details: https://platform.spotonchain.ai/en/signal-details/early-buyer-deposited-aave-to-exchanges-14545

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#coinbase#okx#cumberland#lend