#jupyter_notebook#chatglm#chatglm3#gemma_2b_it#glm_4#internlm2#llama3#llm#lora#minicpm#q_wen#qwen#qwen1_5#qwen2
This guide helps beginners set up and use open-source large language models (LLMs) on Linux or cloud platforms like AutoDL, with step-by-step instructions for environment setup, model deployment, and fine-tuning for models such as LLaMA, ChatGLM, and InternLM[2][4][5]. It covers everything from basic installation to advanced techniques like LoRA and distributed fine-tuning, and supports integration with tools like LangChain and online demo deployment. The main benefit is making powerful AI models accessible and easy to use for students, researchers, and anyone interested in experimenting with or customizing LLMs for their own projects[2][4][5].
https://github.com/datawhalechina/self-llm
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#BAT/USDT analysis :
#BAT is in an uptrend, consistently making new highs while trading above the 200 EMA. Currently, the price is above the support zone and is expected to bounce back from this level, resuming its bullish momentum to test previous highs.
TF : 1D
Entry : $0.2250
Target : $0.2943
SL : $0.2027
#BAT/USDT analysis :
#BAT is presently consolidating within a channel. The overall trend on the larger timeframes indicates a bearish outlook, suggesting a potential breakout from the channel to continue moving downwards towards lower price levels. It is advisable to wait for a breakout of the channel and a decline below the $0.1564 level for a short position entry.
TF : 2H
Entry : $0.1564
Target : $0.1313
SL : $0.1640
#BAT/USDT analysis -
#BAT is currently in downtrend, trading below the 200 EMA. The price is in a pullback phase and is projected to test the resistance zone close to the 200 EMA before potentially dropping further to revisit the previous lows. It is recommended to await the price to test the zone before considering a short entry.
TF : 4h
Entry : $0.1970
Target : $0.1728
SL : $0.2067