#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
#ERN/USDT analysis :
#ERN is currently in an uptrend, trading above the 200 Exponential Moving Average (EMA). The price has recently bounced back and broken out above the trendline, suggesting a potential continuation of the uptrend. The price is anticipated to move upside and test the swing high level.
TF : 30min
Entry : $1.704
Target : $1.992
SL : $1.620
#ERN/USDT analysis :
#ERN is currently in a bearish trend, characterized by a series of lower lows (LLs) and lower highs (LHs) while adhering to the trendline. The price is anticipated to continue this direction, testing lower levels in the near future.
TF : 1D
Entry : $2.230
Target : $1.610
SL : $2.608
#ERN/USDT analysis :
#ERN has broken out above the 200 EMA and is currently consolidating above it. The price is expected to sustain its bullish momentum and is likely to continue its upward trajectory.
TF : 4h
Entry : $2.277
Target : $2.554
SL : $2.088