{"id":1713,"date":"2026-07-23T11:45:57","date_gmt":"2026-07-23T11:45:57","guid":{"rendered":"https:\/\/www.fundacionpadi.org\/?p=1713"},"modified":"2026-07-23T11:45:57","modified_gmt":"2026-07-23T11:45:57","slug":"full-deployment-llama-3_3-nemotron-super-49b-v1_5-quantized-gguf-dummy-proof-guide","status":"publish","type":"post","link":"https:\/\/www.fundacionpadi.org\/index.php\/2026\/07\/23\/full-deployment-llama-3_3-nemotron-super-49b-v1_5-quantized-gguf-dummy-proof-guide\/","title":{"rendered":"Full Deployment Llama-3_3-Nemotron-Super-49B-v1_5 Quantized GGUF Dummy Proof Guide"},"content":{"rendered":"<p><img decoding=\"async\" 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alt=\"Full Deployment Llama-3_3-Nemotron-Super-49B-v1_5 Quantized GGUF Dummy Proof Guide\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<table style=\"width:800px;max-width:800px;margin:0 auto 50px;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 30px rgba(0,0,0,0.06);border:1px solid rgba(0,0,0,0.03);\">\n<tr>\n<td style=\"padding:40px 50px;text-align:center;font-size:18px;color:#2d3748;line-height:1.8;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>7a8f0563c571ff4a2a64af903f27569b<\/b> | Updated: <em>2026-07-22<\/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 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#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:28px;padding-left:23px;margin-left:0;\">\n<li><b>Processor:<\/b> 4.0 GHz+ <b>boost clock<\/b> recommended for CPU inference<\/li>\n<li><b>RAM:<\/b> enough space for <b>background apps<\/b> and OS overhead<\/li>\n<li><b>Disk Space:<\/b> free: 80 GB on <b>system drive<\/b> for scratch space<\/li>\n<li><strong>GPU:<\/strong> high memory bandwidth GPU for <strong>next-gen local AI<\/strong> pipeline<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h4>The Llama-3_3-Nemotron-Super-49B-v1_5: A Cutting-Edge Language Model for AI Advancements<\/h4>\n<p>The <b>Llama-3_3-Nematron-Super-49B-v1_5<\/b> is a groundbreaking large language model designed to bridge the gap between research and commercial applications. Its massive architecture, boasting 49 billion parameters, enables it to deliver exceptional performance on complex tasks such as reasoning, coding, and multilingual interactions.<\/p>\n<ul style=\"list-style-type: decimal;\">\n<li>The <b>Llama-3_3-Nematron-Super-49B-v1_5<\/b> boasts a unique blend of optimized transformer layers and sparse attention mechanisms, allowing it to maintain high accuracy while minimizing inference latency.<\/li>\n<li>Its deployment on modern GPU clusters provides scalable throughput and reduced memory footprint through quantization support.<\/li>\n<li>The model&#8217;s capacity to tackle complex tasks makes it an attractive option for enterprises seeking <i>high-performance<\/i> AI solutions without compromising on cost or speed.<\/li>\n<\/ul>\n<h4>Key Features of the Llama-3_3-Nematron-Super-49B-v1_5 Model<\/h4>\n<table style=\"width:100%\">\n<tr>\n<th>Feature<\/th>\n<td>Value<\/td>\n<\/tr>\n<tr>\n<td>Parameters<\/td>\n<td>49 billion<\/td>\n<\/tr>\n<tr>\n<td>Context Length (Tokens)<\/td>\n<td>8,000<\/td>\n<\/tr>\n<tr>\n<td>Training Data<\/td>\n<td>\u22481.5 TB text<\/td>\n<\/tr>\n<\/table>\n<h4>Technical Specifications of the Llama-3_3-Nematron-Super-49B-v1_5 Model<\/h4>\n<p>Q: What is the primary use case for the Llama-3_3-Nematron-Super-49B-v1_5 model?A: The Llama-3_3-Nematron-Super-49B-v1_5 model is designed for both research and commercial applications, making it an ideal choice for enterprises seeking <i>high-performance<\/i> AI solutions.Q: How does the model&#8217;s deployment on GPU clusters impact its performance?A: The model&#8217;s deployment on modern GPU clusters provides scalable throughput and reduced memory footprint through quantization support, allowing for faster and more efficient processing of complex tasks.Q: What is the significance of the Llama-3_3-Nematron-Super-49B-v1_5 model in the context of AI advancements?A: The Llama-3_3-Nematron-Super-49B-v1_5 model represents a significant step forward in language modeling, offering <i>state-of-the-art<\/i> performance on complex tasks and paving the way for future AI innovations.<\/p>\n<h4>Conclusion<\/h4>\n<p>The Llama-3_3-Nematron-Super-49B-v1_5 model is an exceptional example of cutting-edge language technology, boasting unparalleled performance on complex tasks while maintaining low inference latency. Its deployment on modern GPU clusters and optimized architecture make it an attractive option for enterprises seeking <i>high-performance<\/i> AI solutions without compromising on cost or speed.<\/p>\n<ol>\n<li>Installer deploying offline face recovery modules alongside pre-trained weight array profiles<\/li>\n<li>Setup Llama-3_3-Nemotron-Super-49B-v1_5 FREE<\/li>\n<li>Script automating multi-part model file chunking for external FAT32 formatting systems<\/li>\n<li>Zero-Click Run Llama-3_3-Nemotron-Super-49B-v1_5 PC with NPU Uncensored Edition Full Method<\/li>\n<li>Setup utility resolving cyclical python package dependencies across AI framework trees<\/li>\n<li>Full Deployment Llama-3_3-Nemotron-Super-49B-v1_5 Offline Setup Windows FREE<\/li>\n<li>Script automating repository updates for WebUI frameworks via Git<\/li>\n<li>Setup Llama-3_3-Nemotron-Super-49B-v1_5 PC with NPU 2026\/2027 Tutorial FREE<\/li>\n<\/ol>\n<p><a href='https:\/\/haadisolar.com\/category\/fixers\/'>https:\/\/haadisolar.com\/category\/fixers\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ud83d\udd17 SHA sum: 7a8f0563c571ff4a2a64af903f27569b | Updated: 2026-07-22 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: enough space for background apps and OS overhead Disk Space: free: 80 GB on system drive for scratch space GPU: high memory bandwidth GPU for next-gen local AI pipeline The Llama-3_3-Nemotron-Super-49B-v1_5: A Cutting-Edge Language Model for AI [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"pagelayer_contact_templates":[],"_pagelayer_content":"","footnotes":""},"categories":[49],"tags":[],"class_list":["post-1713","post","type-post","status-publish","format-standard","hentry","category-exl2"],"_links":{"self":[{"href":"https:\/\/www.fundacionpadi.org\/index.php\/wp-json\/wp\/v2\/posts\/1713","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.fundacionpadi.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.fundacionpadi.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.fundacionpadi.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fundacionpadi.org\/index.php\/wp-json\/wp\/v2\/comments?post=1713"}],"version-history":[{"count":1,"href":"https:\/\/www.fundacionpadi.org\/index.php\/wp-json\/wp\/v2\/posts\/1713\/revisions"}],"predecessor-version":[{"id":1715,"href":"https:\/\/www.fundacionpadi.org\/index.php\/wp-json\/wp\/v2\/posts\/1713\/revisions\/1715"}],"wp:attachment":[{"href":"https:\/\/www.fundacionpadi.org\/index.php\/wp-json\/wp\/v2\/media?parent=1713"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.fundacionpadi.org\/index.php\/wp-json\/wp\/v2\/categories?post=1713"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.fundacionpadi.org\/index.php\/wp-json\/wp\/v2\/tags?post=1713"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}