{"id":219,"date":"2026-06-30T20:22:22","date_gmt":"2026-06-30T16:52:22","guid":{"rendered":"https:\/\/ailyshop.ir\/?p=219"},"modified":"2026-06-30T20:22:22","modified_gmt":"2026-06-30T16:52:22","slug":"run-qwen3-5-397b-a17b-nvfp4-pc-with-npu","status":"publish","type":"post","link":"https:\/\/ailyshop.ir\/?p=219","title":{"rendered":"Run Qwen3.5-397B-A17B-NVFP4 PC with NPU"},"content":{"rendered":"<p><img decoding=\"async\" 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alt=\"Run Qwen3.5-397B-A17B-NVFP4 PC with NPU\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p><b>Homebrew<\/b> offers the <i>quickest path<\/i> to setting up this model locally.<\/p>\n<p>Go through the <b>configuration rules<\/b> shown below.<\/p>\n<p> <\/p>\n<p><i>The process automatically pulls down gigabytes of critical model assets.<\/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:14px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#ffffff;box-shadow:0 12px 24px rgba(0,0,0,0.05);border:1px solid #edf2f7;\">\n<tr>\n<td style=\"padding:42px 52px;text-align:center;font-size:22px;color:#4a5568;line-height:2.2;letter-spacing:-0.01em;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#556B2F;font-family:'Segoe UI';\">\ud83d\udd12 Hash checksum: <strong>ab894f75735529f43bcad3223899db2e<\/strong> \u2022 \ud83d\udcc6 Last updated: 2026-06-27<\/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:21px;padding-left:16px;margin-left:0;\">\n<li><b>Processor:<\/b> 4.0 GHz+ <b>boost clock<\/b> recommended for CPU inference<\/li>\n<li><strong>RAM:<\/strong> fast <strong>5600MHz+<\/strong> required to avoid memory bottlenecks<\/li>\n<li><strong>Disk Space:<\/strong> at least 100 GB for <strong>multiple local<\/strong> LLM variants<\/li>\n<li><strong>GPU:<\/strong> RTX 4080 \/ RTX 4090 <strong>recommended for 26B-A4B fast inference<\/strong><\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p>The <b>Qwen3.5-397B-A17B-NVFP4<\/b> model represents a major leap in large language model efficiency, combining a <b>397\u2011billion<\/b> parameter architecture with the ultra\u2011low\u2011precision <b>NVFP4<\/b> data type.<\/p>\n<p>By leveraging <i>NVFP4 quantization<\/i>, the model achieves a dramatic reduction in memory footprint while preserving near\u2011full\u2011precision performance, making it ideal for deployment on consumer\u2011grade GPUs.<\/p>\n<p>Benchmarks show that the model delivers <b>sub\u201150\u202fms<\/b> inference latency and a throughput of over <b>200 tokens per second<\/b> on standard hardware, outperforming previous 400B\u2011scale models.<\/p>\n<p>Its training pipeline incorporates a novel <i>mixture\u2011of\u2011experts<\/i> routing scheme that balances load across the <b>A17B<\/b> accelerator cluster, resulting in stable convergence and robust multilingual capabilities.<\/p>\n<p>The integrated <\/p>\n<table border=\"1\" cellpadding=\"5\" cellspacing=\"0\">\n<tr>\n<th>Model<\/th>\n<th>Parameters<\/th>\n<th>Precision<\/th>\n<th>Latency (ms)<\/th>\n<th>Throughput (tokens\/s)<\/th>\n<\/tr>\n<tr>\n<td>Qwen3.5-397B-A17B-NVFP4<\/td>\n<td>397B<\/td>\n<td>NVFP4<\/td>\n<td><50<\/td>\n<td>>200<\/td>\n<\/tr>\n<\/table>\n<p> provides a quick comparison with competing models, highlighting parameter count, precision, latency, and throughput in a concise format.<\/p>\n<ol>\n<li>Script fetching optimized terminal chat clients with markdown styling<\/li>\n<li>Qwen3.5-397B-A17B-NVFP4 Windows 10 FREE<\/li>\n<li>Installer configuring automated VRAM defragmentation scheduling for persistent WebUIs<\/li>\n<li>How to Setup Qwen3.5-397B-A17B-NVFP4 FREE<\/li>\n<li>Patch fixing memory allocation errors during local fine-tuning<\/li>\n<li>How to Autostart Qwen3.5-397B-A17B-NVFP4 via WebGPU (Browser) No Admin Rights Easy Build<\/li>\n<li>Downloader pulling specialized cyber-security and log-parsing local models<\/li>\n<li>Qwen3.5-397B-A17B-NVFP4 Complete Walkthrough FREE<\/li>\n<li>Setup tool refining CPU thread binding boundaries for maximized llama.cpp processing output curves<\/li>\n<li>How to Autostart Qwen3.5-397B-A17B-NVFP4 No-Internet Version For Beginners FREE<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Homebrew offers the quickest path to setting up this model locally. Go through the configuration rules shown below. The process automatically pulls down gigabytes of critical model assets. To save you time, the system will automatically determine efficient resource allocation. \ud83d\udd12 Hash checksum: ab894f75735529f43bcad3223899db2e \u2022 \ud83d\udcc6 Last updated: 2026-06-27 Verify Processor: 4.0 GHz+ boost clock [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-219","post","type-post","status-publish","format-standard","hentry","category-quantizations"],"_links":{"self":[{"href":"https:\/\/ailyshop.ir\/index.php?rest_route=\/wp\/v2\/posts\/219","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ailyshop.ir\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ailyshop.ir\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ailyshop.ir\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ailyshop.ir\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=219"}],"version-history":[{"count":1,"href":"https:\/\/ailyshop.ir\/index.php?rest_route=\/wp\/v2\/posts\/219\/revisions"}],"predecessor-version":[{"id":220,"href":"https:\/\/ailyshop.ir\/index.php?rest_route=\/wp\/v2\/posts\/219\/revisions\/220"}],"wp:attachment":[{"href":"https:\/\/ailyshop.ir\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=219"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ailyshop.ir\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=219"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ailyshop.ir\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=219"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}