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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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𝚂𝚙𝚎𝚎𝚍𝙲𝚎𝚗𝚝𝚛𝚎

@SpeedCentre · Post #12776 · 10/09/2025, 12:21 AM

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《参数汇总：代理工具的协议支持 & Apps与通用核心的隶属》如两张图所示 VLESS 家族过于庞大，仅节选机场节点常用的特性/分支。待有统计数据后，会再补充一些信息…… To be announced…… 网页版地址: https://www.haitunt.org/cheatsheet.html ⚠️这不是一份测评，而是纯粹的协议参数汇总表 #app#协议#代理工具#代理核心#代理协议#mihomo#singbox#xray#v2ray#v2fly#dae#大鹅#surge#小火箭#loon#stash#qx#surfboard#vless#reality#encryption#hy2#anytls#windows#win#macos#linux#openwrt#路由器#华硕#小米#软路由#插件#内网穿透#参数#速查手册#cheatsheet

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@clashios · Post #58 · 10/09/2025, 05:54 AM

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