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alt=\"Qwen3.6-27B-FP8 Locally via LM Studio\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>Using a native <b>PowerShell script<\/b> is the absolute <i>quickest way<\/i> to install this model.<\/p>\n<p>Refer to the <b>instructions below<\/b> to proceed.<\/p>\n<p> <\/p>\n<p><i>The setup auto-downloads all needed files (several GBs).<\/i><\/p>\n<p> <\/p>\n<p>The configuration wizard runs silently to <b>set up the model for peak performance<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:5px auto 55px;border-collapse:collapse;border-radius:20px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f8fafc;box-shadow:0 20px 40px rgba(0,0,0,0.08);border:1px solid rgba(0,0,0,0.04);\">\n<tr>\n<td style=\"padding:45px 55px;text-align:center;font-size:20px;color:#1e293b;line-height:2;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:27px;padding-left:22px;margin-left:0;\">\n<li><b>CPU:<\/b> AVX2\/AVX-512 instruction set <b>required for llama.cpp<\/b><\/li>\n<li><b>RAM:<\/b> 64 GB to <b>avoid OOM crashes<\/b> on large contexts<\/li>\n<li><strong>Storage:<\/strong> extra room for <strong>future model updates<\/strong> and datasets<\/li>\n<li><strong>Graphic Processor:<\/strong> hardware <strong>Tensor Cores<\/strong> support needed for FP16 acceleration<\/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>Installer deploying localized prompt engineering frameworks with templates<\/li>\n<li>Full Deployment Qwen3.6-27B-FP8 No Admin Rights 2026\/2027 Tutorial Windows<\/li>\n<li>Downloader pulling custom sentiment mapping checkpoints for offline data intelligence analytical tasks<\/li>\n<li>How to Autostart Qwen3.6-27B-FP8 100% Private PC Full Speed NPU Mode Full Method<\/li>\n<li>Setup tool refining CPU thread binding boundaries for maximized llama.cpp operations<\/li>\n<li>Qwen3.6-27B-FP8 Windows 10 with 1M Context<\/li>\n<li>Downloader pulling extremely light gemma-2b profiles for real-time edge processing<\/li>\n<li>How to Launch Qwen3.6-27B-FP8<\/li>\n<li>Script downloading IP-Adapter-FaceID weights for local consistent character creation render layouts<\/li>\n<li>How to Autostart Qwen3.6-27B-FP8 on Copilot+ PC Windows FREE<\/li>\n<\/ol>","protected":false},"excerpt":{"rendered":"<p>Using a native PowerShell script is the absolute quickest way to install this model. Refer to the instructions below to proceed. The setup auto-downloads all needed files (several GBs). The configuration wizard runs silently to set up the model for peak performance. \ud83d\udd27 Digest: 0e46ee02fdd4465b04a8c313f63da842 \u2022 \ud83d\udd52 Updated: 2026-06-24 Verify CPU: AVX2\/AVX-512 instruction set required [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[36],"tags":[],"class_list":["post-2483","post","type-post","status-publish","format-standard","hentry","category-adapters"],"_links":{"self":[{"href":"https:\/\/www.troquelgrafic.com\/ca\/wp-json\/wp\/v2\/posts\/2483","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.troquelgrafic.com\/ca\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.troquelgrafic.com\/ca\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.troquelgrafic.com\/ca\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.troquelgrafic.com\/ca\/wp-json\/wp\/v2\/comments?post=2483"}],"version-history":[{"count":1,"href":"https:\/\/www.troquelgrafic.com\/ca\/wp-json\/wp\/v2\/posts\/2483\/revisions"}],"predecessor-version":[{"id":2484,"href":"https:\/\/www.troquelgrafic.com\/ca\/wp-json\/wp\/v2\/posts\/2483\/revisions\/2484"}],"wp:attachment":[{"href":"https:\/\/www.troquelgrafic.com\/ca\/wp-json\/wp\/v2\/media?parent=2483"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.troquelgrafic.com\/ca\/wp-json\/wp\/v2\/categories?post=2483"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.troquelgrafic.com\/ca\/wp-json\/wp\/v2\/tags?post=2483"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}