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Run Qwen 3.8-27B locally with DeepSeek Harness and Unsloth

By PulseAugur Editorial · [1 sources] ·

A technical guide details how to run the Qwen 3.8-27B code model locally on a Windows 11 machine with an RTX 3090 graphics card. The setup leverages DeepSeek Harness for agent orchestration and Unsloth Engine for optimized inference, enabling a 100% private, low-latency software engineering agent. The guide highlights the RTX 3090's 24GB VRAM as ideal for hosting models of this size, specifically using a dynamic quantization format that balances performance and memory usage. AI

IMPACT Enables local, private, and low-latency AI agent execution for software engineering tasks.

RANK_REASON Technical guide on setting up and running a specific LLM with associated tools on local hardware.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Run Qwen 3.8-27B locally with DeepSeek Harness and Unsloth

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Technical guide on setting up and running a specific LLM with associated tools on local hardware.
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product, infra
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High
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52 days old
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Jacques Gariépy ·

    Faire tourner Qwen 3.8–27B en local avec Unsloth et DeepSeek Harness sur une RTX 3090 (24 Go) sous Windows 11.

    <blockquote> <p><strong>Par Jacques Gariépy</strong> • <em>Guide technique, retour d'expérience, dépannage Windows pas-à-pas et utilisation Web &amp; CLI.</em></p> </blockquote> <h2> Table des Matières </h2> <ol> <li>Introduction &amp; Architecture Globale</li> <li>Pourquoi ce Se…

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