#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
#AMP/USDT analysis :
#AMP is currently exhibiting an uptrend, consistently reaching new highs while trading above the 200 EMA. The price is now retracing toward the 200 EMA and a significant support level.
It is expected that the price will test this zone and subsequently rebound, which will allow the bullish momentum to persist and potentially lead to a retest of previous highs.
TF : 1D
Entry : $0.006750
Target : $0.011915
SL : $0.004950
#AMP/USDT analysis :
#AMP has broken above a previously tested resistance level and has bounced back after a retest. This suggests a continuation of its bullish momentum, with the price likely to test previous highs from the current level.
TF : 1D
Entry : $0.005420
Target : $0.013400
SL : $0.004180
#AMP has a trading range on 12H Time frame, we expect a good pump from bottom of this range,also after breakup will have another bullish movement again
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