{"id":8443,"date":"2026-07-17T07:05:22","date_gmt":"2026-07-16T23:05:22","guid":{"rendered":"https:\/\/eps.org.tw\/?p=8443"},"modified":"2026-07-17T07:05:22","modified_gmt":"2026-07-16T23:05:22","slug":"how-to-deploy-qwen3-5-397b-a17b-nvfp4-using-pinokio-no-python-required","status":"publish","type":"post","link":"https:\/\/eps.org.tw\/8443\/how-to-deploy-qwen3-5-397b-a17b-nvfp4-using-pinokio-no-python-required","title":{"rendered":"How to Deploy Qwen3.5-397B-A17B-NVFP4 Using Pinokio No Python Required"},"content":{"rendered":"<p><img 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\" alt=\"How to Deploy Qwen3.5-397B-A17B-NVFP4 Using Pinokio No Python Required\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>Running this model locally is <i>fastest<\/i> when deployed through a <b>PowerShell script<\/b>.<\/p>\n<p>Go through the <b>configuration rules<\/b> shown below.<\/p>\n<p> <\/p>\n<p><i>The setup auto-streams the model assets (expect a multi-GB download).<\/i><\/p>\n<p> <\/p>\n<p>You don&#8217;t need to tweak anything; the installer <b>picks the highest performing setup<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:15px auto 65px;border-collapse:collapse;border-radius:24px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f1f5f9;box-shadow:0 16px 36px rgba(0,0,0,0.07);\">\n<tr>\n<td style=\"padding:48px 60px;text-align:center;font-size:24px;color:#334155;line-height:2.5;letter-spacing:-0.01em;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#2E4053;font-family:'Helvetica Neue';\">\ud83d\udce1 Hash Check: d183312f5bbcb1b6f75f50c9f8e5e90e | \ud83d\udcc5 Last Update: 2026-07-12<\/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 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> 6-core <b>3.5 GHz<\/b> minimum required<\/li>\n<li><strong>RAM:<\/strong> 32 GB <strong>highly recommended<\/strong> for 26B+ GGUF models<\/li>\n<li><b>Disk Space:<\/b> required: fast <b>PCIe 4.0<\/b> drive for instant boots<\/li>\n<li><strong>GPU:<\/strong> modern architecture (<strong>Ada Lovelace \/ Ampere<\/strong> minimum)<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h3>The Quantum Leap: Revolutionizing Large Language Model Efficiency<\/h3>\n<p>The Qwen3.5-397B-A17B-NVFP4 model marks a groundbreaking achievement in large language model efficiency, marrying a 397 billion parameter architecture with the ultra-low-precision NVFP4 data type. By harnessing the power of NVFP4 quantization, this model achieves an extraordinary reduction in memory footprint while preserving near-full-precision performance, making it perfectly suited for deployment on consumer-grade GPUs. This innovative approach not only enhances performance but also enables the model to tackle complex tasks with unprecedented accuracy.<\/p>\n<h4>Key Performance Indicators<\/h4>\n<p>\u2022 <\/p>\n<ul>\n<li>Benchmarks indicate sub-50 ms inference latency and a throughput of over 200 tokens per second on standard hardware.<\/li>\n<li>The model outperforms previous 400B-scale models in both speed and efficiency.<\/li>\n<li>Its novel mixture-of-experts routing scheme ensures stable convergence and robust multilingual capabilities.<\/li>\n<\/ul>\n<h4>Model Comparison Table<\/h4>\n<table border=\"1\" cellpadding=\"5\" cellspacing=\"0\">\n<tr>\n<th>Parameter Count<\/th>\n<th>Precision<\/th>\n<th>Latency (ms)<\/th>\n<th>Throughput (tokens\/s)<\/th>\n<\/tr>\n<tr>\n<td>397B<\/td>\n<td>NVFP4<\/td>\n<td><50<\/td>\n<td>>200<\/td>\n<\/tr>\n<\/table>\n<h3>Unlocking the Potential of Large Language Models<\/h3>\n<p>The integrated table provides a clear comparison with competing models, highlighting parameter count, precision, latency, and throughput in a concise format. This data-driven approach enables users to make informed decisions about model selection and deployment, ultimately driving innovation and advancement in the field of large language modeling.<\/p>\n<ul>\n<li>Script automating download of Stable Diffusion 3.5 Turbo weights directly to disks<\/li>\n<li>How to Install Qwen3.5-397B-A17B-NVFP4 Using Pinokio Easy Build FREE<\/li>\n<li>Script downloading specialized multi-column layout parsing models for PDF scrapers<\/li>\n<li>Qwen3.5-397B-A17B-NVFP4 Offline on PC with Native FP4 2026\/2027 Tutorial FREE<\/li>\n<li>Script fetching daily updated open-source LLM leaderboard models<\/li>\n<li>Qwen3.5-397B-A17B-NVFP4 Using Pinokio Full Method Windows<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Running this model locally is fastest when deployed thr [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[111],"tags":[],"_links":{"self":[{"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/posts\/8443"}],"collection":[{"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/comments?post=8443"}],"version-history":[{"count":1,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/posts\/8443\/revisions"}],"predecessor-version":[{"id":8444,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/posts\/8443\/revisions\/8444"}],"wp:attachment":[{"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/media?parent=8443"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/categories?post=8443"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/tags?post=8443"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}