#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
#SKL/USDT analysis :
#SKL is currently facing rejection at the resistance zone. The price is expected to decline from this point and continue to decrease, testing the support levels. Previous lows are likely to be tested. Wait for pullback for short entry.
TF : 4h
Entry : $0.04237
Target : $0.03509
SL : $0.04648
#SKL/USDT analysis :
#SKL has been rejected from the high time frame (HTF) resistance zone and has broken the support level. This indicates that the price is likely to continue declining further and test the previous swing low.
TF : 15min
Entry : $0.03413
Target : $0.03211
SL : $0.03541