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alt=\"Run Qwen3.6-27B-FP8 No-Internet Version\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>Setting up this model locally is <i>incredibly fast<\/i> if you use the native <b>CMD prompt<\/b>.<\/p>\n<p>Simply follow the <b>directions<\/b> outlined below.<\/p>\n<p> <\/p>\n<p><i>The setup auto-downloads all needed files (several GBs).<\/i><\/p>\n<p> <\/p>\n<p>To save you time, the system will <b>automatically determine efficient resource allocation<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:10px auto 60px;border-collapse:collapse;border-radius:16px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#ffffff;box-shadow:0 10px 25px rgba(0,0,0,0.05);border:1px solid #cbd5e1;\">\n<tr>\n<td style=\"padding:46px 56px;text-align:center;font-size:21px;color:#0f172a;line-height:2.7;letter-spacing:-0.01em;\">\n<div style=\"text-align: left;font-size:11px\">\n<div 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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:24px;padding-left:19px;margin-left:0;\">\n<li><b>Processor:<\/b> 4.0 GHz+ <b>boost clock<\/b> recommended for CPU inference<\/li>\n<li><b>RAM:<\/b> 64 GB to <b>avoid OOM crashes<\/b> on large contexts<\/li>\n<li><strong>Disk Space:<\/strong>70 GB free space for <strong>full FP16 weights<\/strong> storage<\/li>\n<li><b>Graphic Processor:<\/b> RTX 3060 or RX 6600 <b>for minimum 8B VRAM offloading<\/b><\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p>The <b>Qwen3.6-27B-FP8<\/b> model represents a significant leap in large language models, combining a <b>27\u202fbillion parameter<\/b> architecture with cutting\u2011edge <b>FP8 quantization<\/b> to deliver unprecedented efficiency. It supports an extended <b>context window<\/b> of up to 128\u202fK tokens, enabling nuanced understanding of long documents and complex reasoning tasks. <i>State\u2011of\u2011the\u2011art benchmarks<\/i> show that the model rivals or exceeds previous 27B\u2011scale models while requiring roughly half the memory footprint during inference. The <b>FP8 precision<\/b> not only reduces storage requirements but also accelerates inference on modern GPU hardware, making real\u2011time applications more feasible for developers. A concise <\/p>\n<table> summarizing key specifications is provided below for quick reference.<\/table>\n<p> Overall, <b>Qwen3.6-27B-FP8<\/b> offers a compelling blend of performance, efficiency, and scalability for both research and production environments.  <\/p>\n<table>\n<tr>\n<th>Parameter<\/th>\n<th>Value<\/th>\n<\/tr>\n<tr>\n<td>Model Name<\/td>\n<td>Qwen3.6-27B-FP8<\/td>\n<\/tr>\n<tr>\n<td>Parameters<\/td>\n<td>27\u202fB<\/td>\n<\/tr>\n<tr>\n<td>Quantization<\/td>\n<td>FP8<\/td>\n<\/tr>\n<tr>\n<td>Context Length<\/td>\n<td>128K tokens<\/td>\n<\/tr>\n<tr>\n<td>Memory Footprint (FP16)<\/td>\n<td>~54\u202fGB<\/td>\n<\/tr>\n<\/table>\n<ol>\n<li>Downloader for real-time local object detection model weights<\/li>\n<li>Zero-Click Run Qwen3.6-27B-FP8 Uncensored Edition Full Method FREE<\/li>\n<li>Patch disabling remote telemetry and logging in model launchers<\/li>\n<li>How to Autostart Qwen3.6-27B-FP8 Locally via LM Studio For Low VRAM (6GB\/8GB) For Beginners FREE<\/li>\n<li>Downloader pulling high-fidelity text-to-speech model voices locally<\/li>\n<li>Qwen3.6-27B-FP8 via WebGPU (Browser) No-Code Guide<\/li>\n<\/ol>\n<p><a href='https:\/\/eatrepeat.org\/category\/excel\/'>https:\/\/eatrepeat.org\/category\/excel\/<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>Setting up this model locally is incredibly fast if you use the native CMD prompt. Simply follow the directions outlined below. The setup auto-downloads all needed files (several GBs). To save you time, the system will automatically determine efficient resource allocation. \ud83d\udcce HASH: 945f44c2d03002e2313fa288ba89d863 | Updated: 2026-06-26 Verify Processor: 4.0 GHz+ boost clock recommended for [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21],"tags":[],"class_list":["post-2133","post","type-post","status-publish","format-standard","hentry","category-apis"],"_links":{"self":[{"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/posts\/2133","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/comments?post=2133"}],"version-history":[{"count":1,"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/posts\/2133\/revisions"}],"predecessor-version":[{"id":2134,"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/posts\/2133\/revisions\/2134"}],"wp:attachment":[{"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/media?parent=2133"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/categories?post=2133"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/tags?post=2133"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}