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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 #65002 · 04/10/2026, 01:33 PM

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🚀 Arc Launches App Kits SDK with Cross-Chain Features Arc has introduced its App Kits SDK, offering functionalities such as cross-chain bridging, token exchange, and on-chain transfers, all of which can be integrated with less than 10 lines of code. According to Foresight News, the App Kits are built on USDC, CCTP, and Circle Wallets, and are compatible with third-party wallets and developers' own RPC nodes. The SDK includes a built-in revenue-sharing mechanism, allowing developers to configure profit-sharing directly within the transaction process without needing to deploy separate contracts. App Kits are now available for free and support permissionless access. #Arc#AppKits#SDK#CrossChain#Blockchain#USDC#CCTP#CircleWallet#Crypto#DeFi#Developers#Web3

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