{"id":481,"date":"2026-07-18T14:24:42","date_gmt":"2026-07-18T12:24:42","guid":{"rendered":"https:\/\/www.sherpartners.fr\/?p=481"},"modified":"2026-07-18T14:24:42","modified_gmt":"2026-07-18T12:24:42","slug":"full-deployment-dots-mocr-on-amd-nvidia-gpu","status":"publish","type":"post","link":"https:\/\/www.sherpartners.fr\/index.php\/2026\/07\/18\/full-deployment-dots-mocr-on-amd-nvidia-gpu\/","title":{"rendered":"Full Deployment dots.mocr on AMD\/Nvidia GPU"},"content":{"rendered":"<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:23px;padding-left:20px;margin-left:0;\">\n<li><b>Processor:<\/b> Intel i5 or AMD Ryzen 5 <b>for basic 7B models<\/b><\/li>\n<li><b>RAM:<\/b> enough space for <b>background apps<\/b> and OS overhead<\/li>\n<li><strong>Storage:<\/strong><b>100 GB<\/b> free space for HuggingFace cache folder<\/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 Efficient Document Processing with dots.mocr<\/h4>\n<p>The dots.mocr model revolutionizes document processing by harnessing the power of multimodal OCR. By integrating vision and language modules, it extracts text from diverse sources such as scanned images, handwritten notes, and natural-scene photos with unprecedented accuracy. With a parameter count of 1.5B, this cutting-edge model efficiently runs on consumer GPUs while delivering real-time inference speeds. This innovative architecture incorporates an attention-based layout analyzer that preserves structural relationships, enabling downstream tasks like data entry and content summarization. The modular design of dots.mocr empowers developers to fine-tune specific components, making it a versatile choice for enterprise workflow automation.<\/p>\n<ul style=\"list-style-type: upper-alpha;\">\n<li> Supports multiple input formats, including PDF, JPG, PNG, and handwritten documents.<\/li>\n<li> Achieves an impressive 90% word-error-rate reduction on benchmark datasets compared to legacy solutions.<\/li>\n<li> Employs an attention-based layout analyzer to preserve structural relationships in the extracted text.<\/li>\n<\/ul>\n<table style=\"border-collapse: collapse;\">\n<tr>\n<th style=\"border:1px solid #ccc;\">Specification<\/th>\n<th style=\"border:1px solid #ccc;\">Value<\/th>\n<\/tr>\n<tr>\n<td style=\"border:1px solid #ccc;\">Parameters<\/td>\n<td style=\"border:1px solid #ccc;\">1.5 B<\/td>\n<\/tr>\n<tr>\n<td style=\"border:1px solid #ccc;\">Input Types<\/td>\n<td style=\"border:1px solid #ccc;\">PDF, JPG, PNG, Handwritten<\/td>\n<\/tr>\n<tr>\n<td style=\"border:1px solid #ccc;\">Supported Languages<\/td>\n<td style=\"border:1px solid #ccc;\">100<\/td>\n<\/tr>\n<tr>\n<td style=\"border:1px solid #ccc;\">Inference Speed<\/td>\n<td style=\"border:1px solid #ccc;\">>30 fps on RTX 3080<\/td>\n<\/tr>\n<\/table>\n<p><q>Key Benefits of dots.mocr:<\/q>* <\/p>\n<ul style=\"list-style-type: upper-alpha;\">\n<li> High-speed document processing with unprecedented accuracy.<\/li>\n<li> Real-time inference speeds for efficient workflow automation.<\/li>\n<li> Modular design allows developers to fine-tune specific components.<\/li>\n<\/ul>\n<p><q>Real-World Applications:<\/q>* <\/p>\n<p>Dots.mocr is poised to revolutionize enterprise workflow automation by providing a flexible and scalable solution for document processing.<\/p>\n<h4>Unlocking Efficient Document Processing with dots.mocr<\/h4>\n<p>The dots.mocr model revolutionizes document processing by harnessing the power of multimodal OCR. By integrating vision and language modules, it extracts text from diverse sources such as scanned images, handwritten notes, and natural-scene photos with unprecedented accuracy. With a parameter count of 1.5B, this cutting-edge model efficiently runs on consumer GPUs while delivering real-time inference speeds. This innovative architecture incorporates an attention-based layout analyzer that preserves structural relationships, enabling downstream tasks like data entry and content summarization. The modular design of dots.mocr empowers developers to fine-tune specific components, making it a versatile choice for enterprise workflow automation.<\/p>\n<ul style=\"list-style-type: upper-alpha;\">\n<li> Supports multiple input formats, including PDF, JPG, PNG, and handwritten documents.<\/li>\n<li> Achieves an impressive 90% word-error-rate reduction on benchmark datasets compared to legacy solutions.<\/li>\n<li> Employs an attention-based layout analyzer to preserve structural relationships in the extracted text.<\/li>\n<\/ul>\n<table style=\"border-collapse: collapse;\">\n<tr>\n<th style=\"border:1px solid #ccc;\">Specification<\/th>\n<th style=\"border:1px solid #ccc;\">Value<\/th>\n<\/tr>\n<tr>\n<td style=\"border:1px solid #ccc;\">Parameters<\/td>\n<td style=\"border:1px solid #ccc;\">1.5 B<\/td>\n<\/tr>\n<tr>\n<td style=\"border:1px solid #ccc;\">Input Types<\/td>\n<td style=\"border:1px solid #ccc;\">PDF, JPG, PNG, Handwritten<\/td>\n<\/tr>\n<tr>\n<td style=\"border:1px solid #ccc;\">Supported Languages<\/td>\n<td style=\"border:1px solid #ccc;\">100<\/td>\n<\/tr>\n<tr>\n<td style=\"border:1px solid #ccc;\">Inference Speed<\/td>\n<td style=\"border:1px solid #ccc;\">>30 fps on RTX 3080<\/td>\n<\/tr>\n<\/table>\n<p><q>Key Benefits of dots.mocr:<\/q>* <\/p>\n<ul style=\"list-style-type: upper-alpha;\">\n<li> High-speed document processing with unprecedented accuracy.<\/li>\n<li> Real-time inference speeds for efficient workflow automation.<\/li>\n<li> Modular design allows developers to fine-tune specific components.<\/li>\n<\/ul>\n<p><q>Real-World Applications:<\/q>* <\/p>\n<p>Dots.mocr is poised to revolutionize enterprise workflow automation by providing a flexible and scalable solution for document processing.<\/p>\n<ol>\n<li>Setup script for single-click local LLM environment deployment<\/li>\n<li>Full Deployment dots.mocr 100% Private PC Full Speed NPU Mode Windows FREE<\/li>\n<li>Script downloading specialized math reasoning checkpoints for scientists<\/li>\n<li>Run dots.mocr 100% Private PC For Low VRAM (6GB\/8GB) Dummy Proof Guide FREE<\/li>\n<li>Script downloading modern ControlNet Canny models for enhanced Forge WebUI generation<\/li>\n<li>How to Launch dots.mocr Locally (No Cloud) For Low VRAM (6GB\/8GB) Step-by-Step<\/li>\n<li>Installer configuring localized autogen multi-agent spaces with internal model processing calculation pipelines<\/li>\n<li>Quick Run dots.mocr Windows 11 Full Method<\/li>\n<li>Downloader pulling hyper-efficient model variants tailored for mobile application tests<\/li>\n<li>dots.mocr on AMD\/Nvidia GPU Uncensored Edition Full Method FREE<\/li>\n<li>Script automating visual encoder weight downloads for advanced multi-modal vision tasks<\/li>\n<li>Setup dots.mocr on Copilot+ PC Zero Config Local Guide FREE<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>\ud83d\udcca File Hash: 8fc632d670974e2640256af39b47f8e3 \u2014 Last update: 2026-07-16 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: enough space for background apps and OS overhead Storage:100 GB free space for HuggingFace cache folder GPU: high memory bandwidth GPU for next-gen local AI pipeline Unlocking Efficient Document Processing with dots.mocr The dots.mocr &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.sherpartners.fr\/index.php\/2026\/07\/18\/full-deployment-dots-mocr-on-amd-nvidia-gpu\/\" class=\"more-link\">Continuer la lecture<span class=\"screen-reader-text\"> de &laquo;&nbsp;Full Deployment dots.mocr on AMD\/Nvidia GPU&nbsp;&raquo;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-481","post","type-post","status-publish","format-standard","hentry","category-custom"],"_links":{"self":[{"href":"https:\/\/www.sherpartners.fr\/index.php\/wp-json\/wp\/v2\/posts\/481","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.sherpartners.fr\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.sherpartners.fr\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.sherpartners.fr\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.sherpartners.fr\/index.php\/wp-json\/wp\/v2\/comments?post=481"}],"version-history":[{"count":1,"href":"https:\/\/www.sherpartners.fr\/index.php\/wp-json\/wp\/v2\/posts\/481\/revisions"}],"predecessor-version":[{"id":482,"href":"https:\/\/www.sherpartners.fr\/index.php\/wp-json\/wp\/v2\/posts\/481\/revisions\/482"}],"wp:attachment":[{"href":"https:\/\/www.sherpartners.fr\/index.php\/wp-json\/wp\/v2\/media?parent=481"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.sherpartners.fr\/index.php\/wp-json\/wp\/v2\/categories?post=481"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.sherpartners.fr\/index.php\/wp-json\/wp\/v2\/tags?post=481"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}