{"id":2237,"date":"2026-06-30T01:19:47","date_gmt":"2026-06-30T01:19:47","guid":{"rendered":"https:\/\/bolsasdelperu.com\/inicio\/?p=2237"},"modified":"2026-06-30T01:19:47","modified_gmt":"2026-06-30T01:19:47","slug":"quick-run-dots-mocr-pc-with-npu","status":"publish","type":"post","link":"https:\/\/bolsasdelperu.com\/inicio\/quick-run-dots-mocr-pc-with-npu\/","title":{"rendered":"Quick Run dots.mocr PC with NPU"},"content":{"rendered":"<body><p><\/p><img decoding=\"async\" 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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:26px;padding-left:21px;margin-left:0;\">\n<li><strong>Processor:<\/strong> high <strong>single-core<\/strong> performance needed for token latency<\/li>\n<li><strong>RAM:<\/strong> 32 GB or higher for <strong>smooth 32k context<\/strong> lengths<\/li>\n<li><b>Disk Space:<\/b> free: 80 GB on <b>system drive<\/b> for scratch space<\/li>\n<li><b>Graphics:<\/b> TensorRT-LLM \/ vLLM <b>inference engine<\/b> compatible chip<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p>The <b>dots.mocr<\/b> model is a state\u2011of\u2011the\u2011art multimodal OCR system designed for high\u2011speed document processing. It combines <i>vision<\/i> and <i>language<\/i> modules to extract text from scanned images, handwritten notes, and natural\u2011scene photos with unprecedented <b>accuracy<\/b>. With a parameter count of <b>1.5\u202fB<\/b>, the model runs efficiently on consumer GPUs while maintaining <i>real\u2011time<\/i> inference speeds. The architecture incorporates a novel attention\u2011based layout analyzer that preserves structural relationships, enabling downstream tasks such as data entry and content summarization. <b>dots.mocr<\/b> also supports multilingual scripts, achieving over 90\u202f% word\u2011error\u2011rate reduction on benchmark datasets compared to legacy solutions. Its modular design allows developers to fine\u2011tune specific components, making it a versatile choice for enterprise workflow automation.  <\/p>\n<table>\n<tr>\n<th><b>Spec<\/b><\/th>\n<th><b>Value<\/b><\/th>\n<\/tr>\n<tr>\n<td>Parameters<\/td>\n<td>1.5\u202fB<\/td>\n<\/tr>\n<tr>\n<td>Input Types<\/td>\n<td>PDF, JPG, PNG, Handwritten<\/td>\n<\/tr>\n<tr>\n<td>Supported Languages<\/td>\n<td>100<\/td>\n<\/tr>\n<tr>\n<td>Inference Speed<\/td>\n<td>&gt;30 fps on RTX\u202f3080<\/td>\n<\/tr>\n<\/table>\n<ul>\n<li>Setup tool configuring multi-modal LLava checkpoints inside Ollama<\/li>\n<li>How to Launch dots.mocr Quantized GGUF FREE<\/li>\n<li>Setup tool initializing prefix-caching parameters inside production-tier vLLM system computing rigs<\/li>\n<li>Launch dots.mocr Locally via Ollama 2 Quantized GGUF For Beginners FREE<\/li>\n<li>Installer pre-configuring Qwen2.5-Math engine configurations for offline complex calculus tests<\/li>\n<li>How to Run dots.mocr on Your PC FREE<\/li>\n<li>Setup utility linking external NVMe drives for model storage<\/li>\n<li>Install dots.mocr No-Internet Version Step-by-Step<\/li>\n<li>Setup tool configuring MemGPT memory structures alongside persistent local GGUF nodes<\/li>\n<li>How to Setup dots.mocr For Low VRAM (6GB\/8GB) Complete Walkthrough FREE<\/li>\n<\/ul>\n<p><\/p>\n<\/body>","protected":false},"excerpt":{"rendered":"<p>If you want the fastest local installation for this model, use standard pip packages. Make sure to follow the instructions below. The process automatically pulls down gigabytes of critical model assets. The program scans your VRAM and RAM to seamlessly apply optimal configurations. \ud83d\udee0 Hash code: 68845fd455d68b05d4d1f860ce69864b \u2014 Last modification: 2026-06-24 Verify Processor: high single-core [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"_joinchat":[],"footnotes":""},"categories":[22],"tags":[],"class_list":["post-2237","post","type-post","status-publish","format-standard","hentry","category-optimizers"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Quick Run dots.mocr PC with NPU - Bolsas del Per\u00fa<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/bolsasdelperu.com\/inicio\/quick-run-dots-mocr-pc-with-npu\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Quick Run dots.mocr PC with NPU - Bolsas del Per\u00fa\" \/>\n<meta property=\"og:description\" content=\"If you want the fastest local installation for this model, use standard pip packages. 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