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Source channel @githubtrending · Post #14815 · Jun 10

#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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CryptoBull_360™

@cryptobull_360 · Post #49774 · 05/13/2026, 02:05 PM

🕵️‍♂️#HYPE Wallet associated with a16z in the last month has gained 1.588 million HYPE worth ~$67.4 million and staked 1.3 million HYPE.

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CryptoBull_360™

@cryptobull_360 · Post #48848 · 03/19/2026, 07:51 PM

📈👀#HYPE Analysts at JPMorgan note the growing popularity of Hyperliquid amid traders' desire for round-the-clock oil trading.

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CryptoBull_360™

@cryptobull_360 · Post #48430 · 02/18/2026, 01:33 PM

🗽👀#HYPE Hyperliquid created the “Hyperliquid Policy Center” with the goal of developing a legal mechanism for widespread adoption of DeFi in the United States.

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CryptoBull_360™

@cryptobull_360 · Post #48232 · 02/11/2026, 12:17 PM

✏️#HYPE Hyperliquid Strategies reports profit, acquired 5 million HYPE for $129.5 million at a price of $25.9 per token, leaving the company with $125 million.

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