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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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@tuttoelezioni · Post #1741 · 03/31/2026, 10:30 AM

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#Sondaggi #Perù🇵🇪 #Presidenziali Sondaggio di Datum Internacional. Data: 25-27 marzo 2026. Campione: 2.000 persone. 🟧 Keiko #Fujimori (#FP|Estrema destra fujimorista): 18,5% 🟦 Rafael #LópezAliaga (#RP|Estrema destra cristiana): 13,3% 🟨 Carlo #Álvarez (#PPT|Centro-destra): 8,9% 🟩 Roberto #SánchezPalomino (#JPP|Centro-sinistra): 7,4% 🟥 Jorge #Nieto (#BG|Centro): 6,8% 🟥 Alfonso #LópezChau (#AN|Centro-sinistra): 5,9% 🟦 César #Acuña (#APP|Destra): 5,5% 🟦 Yonhy #Lescano (#CooP|Centro-destra): 3,0% Altri: 30,7% N.B.: dati depurati da chi non si esprime/non sa. @TuttoElezioni

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@tuttoelezioni · Post #1550 · 03/18/2026, 01:02 PM

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#Sondaggi #Perù🇵🇪 #Presidenziali Sondaggio di IEP/La República. Data: 6-11 marzo 2026. Campione: 1.207 persone. 🟦 Rafael #LópezAliaga (#RP|Estrema destra cristiana): 18,0% 🟧 Keiko #Fujimori (#FP|Estrema destra fujimorista): 14,5% 🟥 Alfonso #LópezChau (#AN|Centro-sinistra): 10,5% 🟦 Wolfgang #Grozo (#ID|Estrema destra): 6,6% 🟨 Carlo #Álvarez (#PPT|Centro-destra): 6,0% 🟩 Roberto #SánchezPalomino (#JPP|Centro-sinistra): 5,7% 🟥 Mario #Vizcarra (#P1|Centro): 4,8% 🟦 César #Acuña (#APP|Destra): 4,2% 🟦 Yonhy #Lescano (#CooP|Centro-destra): 3,9% 🟦 George #Forsyth (#SP|Destra): 3,7% 🟩 Ricardo #Belmont (#OBRAS|Centro): 3,5% 🟥 Jorge #Nieto (#BG|Centro): 3,2% Altri: 15,3% N.B.: dati depurati da chi non si esprime/non sa. @TuttoElezioni

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