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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 M - Crypto News

@CryptoM · Post #65082 · 04/10/2026, 08:38 PM

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🚀 Scroll Users Face Excessive Transaction Fees Due to Multiplier Increases Scroll users incurred over $50,000 in additional transaction fees following six manual multiplier increases that elevated Layer 1 data charges to 1,280 times the original baseline. According to NS3.AI, L2BEAT reported that approximately 139,000 transactions were impacted over a span of roughly four days, with the baseline cost estimated at around $280. On April 9, the team reduced both multipliers by 160 times. Etherfi Cash bots contributed approximately $35,000 of the excess fees during etherfi's migration to Optimism. #Scroll#TransactionFees#MultiplierIncrease#Layer1#L2BEAT#NS3AI#Etherfi#Optimism#Crypto#Blockchain#SCR

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