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Source channel @githubtrending · Post #15263 · Nov 2

#python#deep_learning#inference#llm#nlp#pytorch#transformer Nano-vLLM is a small, fast, and easy-to-understand tool for running large language models offline. It matches the speed of bigger systems like vLLM but uses only about 1,200 lines of clean Python code, making it simple to read and modify. It includes smart features like prefix caching and tensor parallelism to boost performance. You can install it easily and run models like Qwen3-0.6B on your own GPU. This tool is great if you want fast, efficient AI inference without complex setups, ideal for learning, research, or small deployments on limited hardware. https://github.com/GeeeekExplorer/nano-vllm

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Crypto GALAXY

@crypto_galaxy_signals · Post #171 · 01/14/2024, 08:24 PM

🌐A whopping 14.76 billion USD has been moved from an unidentified wallet to #Bitfinex. ▶️#XRP follows suit, sending nearly 50% of its market cap – a staggering 15 billion dollars – to Bitfinex. #CryptoTransfer#CryptoSignals - Crypto GALAXY

Crypto M - Crypto News

@CryptoM · Post #65032 · 04/10/2026, 02:48 PM

🚀 Significant NOM Transfer to Centralized Exchange Amid Price Drop On April 10, a substantial transfer of NOM tokens was observed. According to BlockBeats On-chain Detection, an address group holding at least 59% of NOM's circulating supply moved 23% of the tokens, totaling 674 million NOM, to a centralized exchange within the past hour. This transfer coincided with a 25% decline in NOM's price today. The address group is likely responsible for driving a sixfold increase in NOM's value over the past two weeks, from $0.0017 to $0.0126. On April 1, they withdrew 1.72 billion NOM from a centralized exchange using seven wallets, representing 59% of NOM's total circulating supply of 2.9 billion tokens. #NOM#centralizedexchange#tokentransfer#priceDrop#cryptocurrency#blockchain#onchain#crypto#cryptomarket#pricefluctuation#cryptotransfer