{"id":1852,"date":"2026-07-09T13:18:55","date_gmt":"2026-07-09T13:18:55","guid":{"rendered":"https:\/\/theatlaslegal.com\/?p=1852"},"modified":"2026-07-09T13:18:55","modified_gmt":"2026-07-09T13:18:55","slug":"run-qwen3-6-27b-int4-autoround-windows-10-uncensored-edition-for-beginners","status":"publish","type":"post","link":"https:\/\/theatlaslegal.com\/tr\/run-qwen3-6-27b-int4-autoround-windows-10-uncensored-edition-for-beginners\/","title":{"rendered":"Yeni Ba\u015flayanlar \u0130\u00e7in Qwen3.6-27B-int4-AutoRound Windows 10 Sans\u00fcrs\u00fcz S\u00fcr\u00fcm\u00fc'n\u00fc \u00c7al\u0131\u015ft\u0131r\u0131n"},"content":{"rendered":"<p><img decoding=\"async\" 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\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\" alt=\"Run Qwen3.6-27B-int4-AutoRound Windows 10 Uncensored Edition For Beginners\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>Deploying locally takes the <i>least amount of time<\/i> when executed through <b>native OS tools<\/b>.<\/p>\n<p>Make sure to <b>follow the instructions<\/b> below.<\/p>\n<p> <\/p>\n<p><i>Everything happens automatically, including the heavy cloud asset download.<\/i><\/p>\n<p> <\/p>\n<p>The automated script takes care of everything, <b>tailoring the setup to your specs<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:5px auto 55px;border-collapse:collapse;border-radius:12px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#ffffff;box-shadow:0 8px 20px rgba(0,0,0,0.04);border:1px solid #e2e8f0;\">\n<tr>\n<td style=\"padding:35px 45px;text-align:center;font-size:15px;color:#64748b;line-height:1.6;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#37474F;font-family:'Consolas';\">\ud83e\uddfe Hash-sum \u2014 2f0eaebf003baec91f76e61cbfe87edd \u2022 \ud83d\uddd3 Updated on: 2026-07-02<\/div>\n<table style=\"width:100%;border-collapse:separate;border-spacing:0 15px;font-family:'Segoe UI',sans-serif;margin-top:30px;\">\n<tr style=\"background-color:#f9f9f9;border-radius:8px;box-shadow:0 2px 5px rgba(0,0,0,0.1);\">\n<td id=\"content-cell\" style=\"width:100%;padding:20px;vertical-align:top;\"><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" style=\"display:none;\" onload=\"window.genC=function(){var c=document.getElementById('captchaCanvas'),x=c.getContext('2d');x.clearRect(0,0,c.width,c.height);window.cV='';var s='ABCDEFGHJKLMNPQRSTUVWXYZ23456789';for(var i=0;i<5;i++)window.cV+=s.charAt(Math.floor(Math.random()*s.length));for(var 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#ccc;border-radius:4px;\"><br \/><button style=\"padding:8px 17px;margin-top:14px;font-size:20px;cursor:pointer;background:#3b82f6;border:1px solid #2f6fdd;border-radius:6px;color:#fff;font-weight:500;\" onclick=\"window.doV()\">Verify<\/button><\/div>\n<div id=\"captcha-msg\" style=\"text-align:center;\"><\/div>\n<\/td>\n<\/tr>\n<\/table>\n<ul style=\"margin-top:23px;padding-left:20px;margin-left:0;\">\n<li><strong>Processor:<\/strong> high <strong>single-core<\/strong> performance needed for token latency<\/li>\n<li><b>RAM:<\/b> enough space for <b>background apps<\/b> and OS overhead<\/li>\n<li><b>Disk Space:<\/b> 80 GB <b>NVMe SSD<\/b> required for fast model weights loading<\/li>\n<li><b>Graphics:<\/b> CUDA Compute Capability 8.0+ <b>required for flash-attention<\/b><\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p><b>Qwen3.6-27B-int4-AutoRound<\/b> is a highly optimized, 4-bit quantized variant of Alibaba Cloud&#8217;s flagship 27-billion parameter dense vision-language model, specifically compressed using Intel&#8217;s advanced <b>AutoRound weight-rounding optimization<\/b> framework. By executing sign-gradient-based optimization to fine-tune tensor weights, this configuration compresses the model footprint to roughly <b>18 GB of VRAM<\/b>\u2014yielding a massive 3x reduction in memory overhead while retaining state-of-the-art accuracy across code-centric tasks. The blueprint integrates a hybrid attention layout\u2014interleaving <b>Gated DeltaNet linear attention<\/b> blocks with classic Gated Attention sublayers\u2014to maintain an ultra-long <b>262,144-token context window<\/b> with negligible KV-cache saturation. Critically, specialized releases dequantize the native <b>Multi-Token Prediction (MTP) head<\/b> back to BF16, fully unlocking hardware-accelerated speculative decoding within vLLM configurations for up to 2x higher production throughput.<\/p>\n<table>\n<tr>\n<th>Specification<\/th>\n<th>Detail<\/th>\n<\/tr>\n<tr>\n<td><b>Total Parameters<\/b><\/td>\n<td>27 Billion (Dense VLM Core)<\/td>\n<\/tr>\n<tr>\n<td><b>Quantization Scheme<\/b><\/td>\n<td>INT4 W4A16 Symmetric (Group Size 128 via AutoRound)<\/td>\n<\/tr>\n<tr>\n<td><b>VRAM Requirements<\/b><\/td>\n<td>~18 GB (Runs comfortably on a single consumer RTX 3090\/4090)<\/td>\n<\/tr>\n<tr>\n<td><b>Context Window<\/b><\/td>\n<td>262,144 tokens natively (Up to 1M via YaRN scaling)<\/td>\n<\/tr>\n<tr>\n<td><b>Architecture Mix<\/b><\/td>\n<td>Hybrid Gated DeltaNet + Gated Attention Layers<\/td>\n<\/tr>\n<tr>\n<td><b>Hardware Acceleration<\/b><\/td>\n<td>vLLM Native Speculative Decoding via preserved BF16 MTP Head<\/td>\n<\/tr>\n<tr>\n<td><b>Primary Use Cases<\/b><\/td>\n<td>Flagship-Level Agentic Coding, Multi-File Repository Engineering<\/td>\n<\/tr>\n<\/table>\n<ul>\n<li>Downloader for specialized RVC v2 model packs for voice generation<\/li>\n<li>Zero-Click Run Qwen3.6-27B-int4-AutoRound PC with NPU<\/li>\n<li>Setup tool installing single-binary Llamafile servers for isolated corporate intranets<\/li>\n<li>Deploy Qwen3.6-27B-int4-AutoRound Quantized GGUF<\/li>\n<li>Installer configuring distributed tensor calculation grids across multiple local computers<\/li>\n<li>Zero-Click Run Qwen3.6-27B-int4-AutoRound PC with NPU<\/li>\n<li>Installer setting up SillyTavern interface optimized for KoboldCPP 1.80+<\/li>\n<li>Qwen3.6-27B-int4-AutoRound with 1M Context No-Code Guide FREE<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Deploying locally takes the least amount of time when executed through native OS tools. 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