{"id":2297,"date":"2026-07-14T16:47:24","date_gmt":"2026-07-14T19:47:24","guid":{"rendered":"https:\/\/idpmedia.com.br\/?p=2297"},"modified":"2026-07-14T16:47:24","modified_gmt":"2026-07-14T19:47:24","slug":"setup-qwen3-6-40b-claude-4-6-opus-deckard-heretic-uncensored-thinking-neo-code-di-imatrix-max-gguf-on-your-pc-no-python-required-offline-setup","status":"publish","type":"post","link":"https:\/\/idpmedia.com.br\/en\/2026\/07\/14\/setup-qwen3-6-40b-claude-4-6-opus-deckard-heretic-uncensored-thinking-neo-code-di-imatrix-max-gguf-on-your-pc-no-python-required-offline-setup\/","title":{"rendered":"Setup Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF on Your PC No Python Required Offline Setup"},"content":{"rendered":"<p><img decoding=\"async\" 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\" alt=\"Setup Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF on Your PC No Python Required Offline Setup\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>Deploying locally takes the <i>least amount of time<\/i> when executed through <b>native OS tools<\/b>.<\/p>\n<p>Please adhere to the <b>deployment steps<\/b> listed below.<\/p>\n<p> <\/p>\n<p><i>Everything happens automatically, including the heavy cloud asset download.<\/i><\/p>\n<p> <\/p>\n<p>Your resources are automatically evaluated to <b>lock in the premium configuration<\/b>.<\/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:#4A4A4A;font-family:'Roboto Mono';\">\ud83e\udde9 Hash sum \u2192 8720d38245e564457767c32d2749c683 \u2014 <span style=\"text-decoration:underline;\">Update date:<\/span> 2026-07-13<\/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 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\/><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:24px;padding-left:19px;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> at least 32 GB in <strong>dual-channel mode<\/strong> for bandwidth<\/li>\n<li><strong>Disk Space:<\/strong>70 GB free space for <strong>full FP16 weights<\/strong> storage<\/li>\n<li><strong>Graphic Processor:<\/strong> hardware <strong>Tensor Cores<\/strong> support needed for FP16 acceleration<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h3>Unveiling the Qwen3.6-40B-Claude Model&#8217;s Capabilities<\/h3>\n<p>The Qwen3.6-40B-Claude 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. By harnessing the power of web-scale corpora, it generates coherent, context-aware responses across technical, creative, and conversational domains.\u2022 Advanced features:\t+ Multi-head attention for improved contextual understanding\t+ Di-IMatrix optimization layer for reduced memory requirements\t+ Web-scale training data for enhanced accuracy<\/p>\n<h4>Technical Specifications<\/h4>\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<h3>The Power of Di-IMatrix Optimization<\/h3>\n<p>The Di-IMatrix optimization layer is a novel component that sets the Qwen3.6-40B-Claude model apart from its peers. By incorporating this cutting-edge technology, the model achieves remarkable improvements in accuracy while maintaining an attractive memory footprint.\u2022 Key benefits:\t+ Reduced memory requirements for efficient inference\t+ Enhanced accuracy through Di-IMatrix optimization<\/p>\n<h4>Opus-Deckard Fine-Tuning Pipeline<\/h4>\n<p>The Opus-Deckard fine-tuning pipeline is a critical component of the Qwen3.6-40B-Claude model&#8217;s success. By leveraging this specialized approach, the model outperforms many existing open-source models in reasoning, coding, and language understanding tasks.\u2022 Key advantages:\t+ Improved performance in complex reasoning tasks\t+ Enhanced coding capabilities through fine-tuning<\/p>\n<h4>Uncensored Thinking Mode<\/h4>\n<p>The Qwen3.6-40B-Claude model&#8217;s uncensored thinking mode is a game-changer for research and educational applications. This feature encourages transparent reasoning steps, making it an invaluable resource for institutions seeking to promote critical thinking.\u2022 Key benefits:\t+ Encourages transparent reasoning steps\t+ Supports research and educational initiatives<\/p>\n<ul>\n<li>Setup utility auto-detecting AMD ROCm device structures for Linux AI workstations<\/li>\n<li>Install Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF Offline Setup FREE<\/li>\n<li>Installer configuring local WebUI for Whisper-Large-V3-Turbo setups<\/li>\n<li>How to Run Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF on AMD\/Nvidia GPU FREE<\/li>\n<li>Installer deploying local prompt template management engines with built-in variables<\/li>\n<li>Install Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF on AMD\/Nvidia GPU For Beginners FREE<\/li>\n<li>Script downloading background removal masks for offline photo production pipelines layouts<\/li>\n<li>Run Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF on AMD\/Nvidia GPU with Native FP4 Windows<\/li>\n<li>Installer deploying offline face recovery modules alongside pre-trained weight array profiles and folders<\/li>\n<li>Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF Full Speed NPU Mode Full Method FREE<\/li>\n<li>Setup tool refining CPU thread binding boundaries for maximized llama.cpp processing outputs<\/li>\n<li>How to Setup Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF Windows 11 FREE<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>Deploying locally takes the least amount of time when executed through native OS tools. Please adhere to the deployment steps listed below. Everything happens automatically, including the heavy cloud asset download. Your resources are automatically evaluated to lock in the premium configuration. \ud83e\udde9 Hash sum \u2192 8720d38245e564457767c32d2749c683 \u2014 Update date: 2026-07-13 Verify CPU: AVX2\/AVX-512 instruction [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22],"tags":[],"class_list":["post-2297","post","type-post","status-publish","format-standard","hentry","category-huggingface"],"_links":{"self":[{"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/posts\/2297","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/comments?post=2297"}],"version-history":[{"count":1,"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/posts\/2297\/revisions"}],"predecessor-version":[{"id":2298,"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/posts\/2297\/revisions\/2298"}],"wp:attachment":[{"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/media?parent=2297"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/categories?post=2297"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/tags?post=2297"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}