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\" alt=\"Zero-Click Run Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF 5-Minute Setup\" 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>Refer to the <b>instructions below<\/b> to proceed.<\/p>\n<p> <\/p>\n<p><i>An automated background process downloads all required large-scale files.<\/i><\/p>\n<p> <\/p>\n<p>To save you time, the system will <b>automatically determine efficient resource allocation<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:15px auto 65px;border-collapse:collapse;border-radius:24px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f1f5f9;box-shadow:0 16px 36px rgba(0,0,0,0.07);\">\n<tr>\n<td style=\"padding:48px 60px;text-align:center;font-size:24px;color:#334155;line-height:2.5;letter-spacing:-0.01em;\">\n<div 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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:27px;padding-left:22px;margin-left:0;\">\n<li><b>CPU:<\/b> modern architecture (<b>Zen 3 \/ Alder Lake<\/b> minimum)<\/li>\n<li><strong>RAM:<\/strong> 32 GB or higher for <strong>smooth 32k context<\/strong> lengths<\/li>\n<li><strong>Disk Space:<\/strong> at least 100 GB for <strong>multiple local<\/strong> LLM variants<\/li>\n<li><strong>GPU:<\/strong> modern architecture (<strong>Ada Lovelace \/ Ampere<\/strong> minimum)<\/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<ol>\n<li>Setup tool installing Llamafile standalone single-file executable models<\/li>\n<li>Zero-Click Run Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF Windows 10 For Beginners FREE<\/li>\n<li>Patch tuning Mistral-Large-Instruct parameters for low-latency private servers<\/li>\n<li>How to Autostart Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF Using Pinokio Direct EXE Setup Windows<\/li>\n<li>Setup tool updating local miniconda environments for running PyTorch 2.6+ scripts<\/li>\n<li>Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF PC with NPU Direct EXE Setup FREE<\/li>\n<li>Downloader pulling micro-parameter language files for instantaneous automated notification boxes<\/li>\n<li>Qwen3.6-40B-Claude-4.6-Opus-Deckard-Heretic-Uncensored-Thinking-NEO-CODE-Di-IMatrix-MAX-GGUF with 1M Context Complete Walkthrough FREE<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Homebrew offers the quickest path to setting up this model locally. Refer to the instructions below to proceed. An automated background process downloads all required large-scale files. To save you time, the system will automatically determine efficient resource allocation. \ud83d\udce4 Release Hash: e495a85dffb93d51f9e0939bea072c22 \u2022 \ud83d\udcc5 Date: 2026-07-08 Verify CPU: modern architecture (Zen 3 \/ Alder [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[29],"tags":[],"class_list":["post-1985","post","type-post","status-publish","format-standard","hentry","category-checkpoints"],"_links":{"self":[{"href":"https:\/\/fullthrottlepools.com\/index.php\/wp-json\/wp\/v2\/posts\/1985","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fullthrottlepools.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fullthrottlepools.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fullthrottlepools.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/fullthrottlepools.com\/index.php\/wp-json\/wp\/v2\/comments?post=1985"}],"version-history":[{"count":1,"href":"https:\/\/fullthrottlepools.com\/index.php\/wp-json\/wp\/v2\/posts\/1985\/revisions"}],"predecessor-version":[{"id":1986,"href":"https:\/\/fullthrottlepools.com\/index.php\/wp-json\/wp\/v2\/posts\/1985\/revisions\/1986"}],"wp:attachment":[{"href":"https:\/\/fullthrottlepools.com\/index.php\/wp-json\/wp\/v2\/media?parent=1985"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fullthrottlepools.com\/index.php\/wp-json\/wp\/v2\/categories?post=1985"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fullthrottlepools.com\/index.php\/wp-json\/wp\/v2\/tags?post=1985"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}