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alt=\"Quick Run Anima Windows 11\" 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>Make sure to <b>follow the instructions<\/b> below.<\/p>\n<p> <\/p>\n<p><i>All large files and heavy weights are downloaded automatically by the script.<\/i><\/p>\n<p> <\/p>\n<p>The program scans your VRAM and RAM to <b>seamlessly apply optimal configurations<\/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 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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:29px;padding-left:24px;margin-left:0;\">\n<li><strong>CPU:<\/strong> 8-core \/ 16-thread <strong>recommended for orchestration<\/strong><\/li>\n<li><b>RAM:<\/b> enough space for <b>background apps<\/b> and OS overhead<\/li>\n<li><strong>Disk Space:<\/strong> at least 100 GB for <strong>multiple local<\/strong> LLM variants<\/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>Unlocking the Potential of Next-Generation AI<\/h4>\n<p>Anima is a revolutionary AI model that redefines the boundaries of ultra-low latency inference across various applications. By harnessing the power of scalable neural architectures, Anima delivers deep contextual understanding and real-time processing capabilities, making it an ideal choice for multimodal tasks. Its training pipeline leverages massive curated datasets and advanced optimization techniques to achieve state-of-the-art performance while maintaining energy efficiency. With its modular design, developers can fine-tune and deploy the system on diverse hardware platforms, from edge devices to cloud infrastructures. This flexibility enables seamless integration with existing infrastructure, allowing for accelerated adoption of AI-powered solutions. By embracing Anima, organizations can unlock new possibilities and drive innovation forward.<\/p>\n<h4>Technical Specifications<\/h4>\n<table>\n<caption>System Performance Metrics<\/caption>\n<tr>\n<th>Parameter<\/th>\n<td>Value<\/td>\n<\/tr>\n<tr>\n<td>Model size (parameters)<\/td>\n<td>12B parameters<\/td>\n<\/tr>\n<tr>\n<td>Training data (tokens)<\/td>\n<td>1.5 trillion tokens<\/td>\n<\/tr>\n<tr>\n<td>Inference latency (ms)<\/td>\n<td>5ms<\/td>\n<\/tr>\n<tr>\n<td>Supported modalities<\/td>\n<td>Text, Image, Audio<\/td>\n<\/tr>\n<tr>\n<th>Energy efficiency metrics<\/th>\n<td>Low power consumption, optimized for energy efficiency<\/td>\n<\/tr>\n<tr>\n<td>Fine-tuning capabilities<\/td>\n<td>Modular design enables flexible fine-tuning and deployment on diverse hardware platforms<\/td>\n<\/tr>\n<\/table>\n<h4>Real-World Applications of Anima<\/h4>\n<p>\u2022 **Edge Computing**: Leverage Anima&#8217;s low-latency inference capabilities to accelerate edge computing applications, such as autonomous vehicles, smart cities, and industrial automation.\u2022 **Healthcare**: Apply Anima&#8217;s multimodal capabilities to medical imaging analysis, disease diagnosis, and personalized medicine, leading to improved patient outcomes and enhanced decision-making.<q>What sets Anima apart from other AI models?<\/q><\/p>\n<p>A combination of its scalable neural architecture, massive curated datasets, and advanced optimization techniques enables Anima to deliver state-of-the-art performance while maintaining energy efficiency.<\/p>\n<h4>Future Development and Integration<\/h4>\n<p>\u2022 **Integrate with existing infrastructure**: Seamlessly integrate Anima with existing infrastructure, enabling accelerated adoption of AI-powered solutions across industries.\u2022 **Expand application domains**: Explore new application domains for Anima, such as natural language processing, computer vision, and robotics, to further unlock its potential.<q>How can I get started with integrating Anima into my project?<\/q><\/p>\n<p>Consult our documentation and contact our support team to learn more about fine-tuning and deploying Anima on your specific hardware platform.<\/p>\n<ul>\n<li>Setup tool installing single-binary Llamafile servers for isolated corporate networks<\/li>\n<li>Anima PC with NPU No Admin Rights Step-by-Step<\/li>\n<li>Installer pre-configuring Automatic1111 WebUI extensions and dependencies<\/li>\n<li>How to Run Anima Offline on PC For Low VRAM (6GB\/8GB) Local Guide FREE<\/li>\n<li>Setup tool configuring continuous batching for multi-user local nodes<\/li>\n<li>Launch Anima Windows 11 Windows<\/li>\n<li>Script automating download of Stable Diffusion 3.5 medium checkpoints<\/li>\n<li>Anima<\/li>\n<\/ul>\n<p><a href='https:\/\/foreignholics.com\/category\/retrievers\/'>https:\/\/foreignholics.com\/category\/retrievers\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Homebrew offers the quickest path to setting up this model locally. Make sure to follow the instructions below. All large files and heavy weights are [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","footnotes":""},"categories":[26],"tags":[],"class_list":["post-1064","post","type-post","status-publish","format-standard","hentry","category-loaders"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"Guenot Francois","author_link":"https:\/\/toitilux.com\/index.php\/author\/toitilux\/"},"uagb_comment_info":0,"uagb_excerpt":"Homebrew offers the quickest path to setting up this model locally. Make sure to follow the instructions below. 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