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\" alt=\"Zero-Click Run Qwen3.5-9B-GGUF Full Speed NPU Mode Windows\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>For an <i>instant local deployment<\/i>, running a pre-configured <b>shell script<\/b> is ideal.<\/p>\n<p>Carefully read and <b>apply the steps<\/b> described below.<\/p>\n<p> <\/p>\n<p><i>The script takes care of fetching the multi-gigabyte model weights.<\/i><\/p>\n<p> <\/p>\n<p>During setup, the script automatically determines and <b>applies the best settings<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:0 auto 50px;border-collapse:collapse;border-radius:18px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f4f4f5;box-shadow:0 14px 28px rgba(0,0,0,0.06);\">\n<tr>\n<td style=\"padding:45px 55px;text-align:center;font-size:19px;color:#27272a;line-height:2.3;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:23px;padding-left:20px;margin-left:0;\">\n<li><strong>Processor:<\/strong> Intel i7 \/ Ryzen 7 <strong>for heavy Quantized models<\/strong><\/li>\n<li><strong>RAM:<\/strong> required: 16 GB <strong>absolute minimum<\/strong> for small models<\/li>\n<li><strong>Disk Space:<\/strong>70 GB free space for <strong>full FP16 weights<\/strong> storage<\/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>The <b>Qwen3.5-9B-GGUF<\/b> model represents a significant advancement in open\u2011source language models, offering a balanced blend of performance and efficiency for both research and commercial applications.   Built on the <b>Qwen3.5<\/b> architecture, it leverages <i>grouped\u2011query attention<\/i> and <i>rotary positional embeddings<\/i> to achieve faster inference while maintaining high accuracy on benchmarks.   With <b>9 billion parameters<\/b> quantized into GGUF format, the model reduces memory footprint and enables deployment on consumer\u2011grade hardware without sacrificing response quality.   The model supports up to <b>8K token context windows<\/b>, allowing it to handle longer dialogues and complex reasoning tasks with minimal truncation.   Its integration with the GGUF format further simplifies deployment across diverse platforms, making advanced AI capabilities accessible to a broader community.    <\/p>\n<table>\n<tr>\n<td><b>Context Length<\/b><\/td>\n<td>8K tokens<\/td>\n<\/tr>\n<tr>\n<td><b>Training Tokens<\/b><\/td>\n<td>2 trillion<\/td>\n<\/tr>\n<tr>\n<td><b>Benchmark (MMLU)<\/b><\/td>\n<td>84.3%<\/td>\n<\/tr>\n<\/table>\n<ul>\n<li>Script automating installation of Open-WebUI docker files with persistent paths<\/li>\n<li>Launch Qwen3.5-9B-GGUF with Native FP4 Windows<\/li>\n<li>Setup tool optimizing system pagefile sizes for heavy model offloading<\/li>\n<li>Qwen3.5-9B-GGUF 100% Private PC Quantized GGUF 2026\/2027 Tutorial<\/li>\n<li>Setup utility configuring real-time local translation overlays for games<\/li>\n<li>Install Qwen3.5-9B-GGUF on Your PC No Admin Rights Direct EXE Setup FREE<\/li>\n<li>Downloader pulling optimized model shards for limited bandwith setups<\/li>\n<li>Qwen3.5-9B-GGUF via WebGPU (Browser) Quantized GGUF Easy Build<\/li>\n<li>Installer deploying complex ComfyUI nodes for Flux-ControlNet-Inpainting stacks<\/li>\n<li>Qwen3.5-9B-GGUF No Python Required Dummy Proof Guide FREE<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>For an instant local deployment, running a pre-configured shell script is ideal. Carefully read and apply the steps described below. The script takes care of fetching the multi-gigabyte model weights. During setup, the script automatically determines and applies the best settings. \ud83d\udce6 Hash-sum \u2192 0f844f877b2f2eab83aa3007dc729152 | \ud83d\udccc Updated on 2026-06-28 Verify Processor: Intel i7 \/ &hellip; <a href=\"https:\/\/bepannam.com\/index.php\/2026\/07\/04\/zero-click-run-qwen3-5-9b-gguf-full-speed-npu-mode-windows\/\">Readmore<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[],"class_list":["post-1586","post","type-post","status-publish","format-standard","hentry","category-weights"],"_links":{"self":[{"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/posts\/1586","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/comments?post=1586"}],"version-history":[{"count":1,"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/posts\/1586\/revisions"}],"predecessor-version":[{"id":1587,"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/posts\/1586\/revisions\/1587"}],"wp:attachment":[{"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/media?parent=1586"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/categories?post=1586"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/tags?post=1586"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}