{"id":29070,"date":"2026-06-29T18:32:43","date_gmt":"2026-06-29T18:32:43","guid":{"rendered":"https:\/\/trojka.org\/?p=29070"},"modified":"2026-06-29T18:32:43","modified_gmt":"2026-06-29T18:32:43","slug":"run-glm-ocr-for-low-vram-6gb-8gb","status":"publish","type":"post","link":"https:\/\/trojka.org\/sr\/run-glm-ocr-for-low-vram-6gb-8gb\/","title":{"rendered":"Run GLM-OCR For Low VRAM (6GB\/8GB)"},"content":{"rendered":"<p><img decoding=\"async\" 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alt=\"Run GLM-OCR For Low VRAM (6GB\/8GB)\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>If you want the <i>fastest local installation<\/i> for this model, use <b>Docker<\/b>.<\/p>\n<p>Follow the <b>guidelines<\/b> below to continue.<\/p>\n<p> <\/p>\n<p><i>The setup auto-streams the model assets (expect a multi-GB download).<\/i><\/p>\n<p> <\/p>\n<p>The automated installation script takes care of everything by <b>tailoring the setup perfectly to your system specs<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:5px auto 55px;border-collapse:collapse;border-radius:20px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f8fafc;box-shadow:0 20px 40px rgba(0,0,0,0.08);border:1px solid rgba(0,0,0,0.04);\">\n<tr>\n<td style=\"padding:45px 55px;text-align:center;font-size:20px;color:#1e293b;line-height:2;letter-spacing:-0.01em;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#556B2F;font-family:'Segoe UI';\">\ud83d\udd12 Hash checksum: <strong>27fe4ef40935472c245d9ecc597fcd8f<\/strong> \u2022 \ud83d\udcc6 Last updated: 2026-06-28<\/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 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\/><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:21px;padding-left:16px;margin-left:0;\">\n<li><b>CPU:<\/b> modern architecture (<b>Zen 3 \/ Alder Lake<\/b> minimum)<\/li>\n<li><strong>RAM:<\/strong> 32 GB or higher for <strong>smooth 32k context<\/strong> lengths<\/li>\n<li><b>Disk Space:<\/b> required: fast <b>PCIe 4.0<\/b> drive for instant boots<\/li>\n<li><b>Graphic Processor:<\/b> RTX 3060 or RX 6600 <b>for minimum 8B VRAM offloading<\/b><\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p><b>GLM-OCR<\/b> is a lightweight <i>vision-language model<\/i> tailored specifically for advanced document understanding and structure preservation. The architecture integrates a 400M parameter <b>CogViT visual encoder<\/b> alongside a compact 500M parameter <b>GLM language decoder<\/b> to maximize layout analysis precision. Unlike classic character recognition engines, this framework introduces an innovative <i>Multi-Token Prediction (MTP) loss<\/i> mechanism to increase decoding throughput substantially while lowering system memory demands. It effortlessly reconstructs intricate <b>multilingual tables, LaTeX formulas, and handwritten text<\/b> into semantic Markdown or structured JSON outputs. The compact blueprint allows for highly accurate, state-of-the-art multi-page processing directly within resource-constrained edge computing environments.<\/p>\n<table>\n<tr>\n<th>Specification<\/th>\n<th>Detail<\/th>\n<\/tr>\n<tr>\n<td><b>Total Parameters<\/b><\/td>\n<td>0.9 Billion<\/td>\n<\/tr>\n<tr>\n<td><b>Visual Encoder<\/b><\/td>\n<td>CogViT (400M)<\/td>\n<\/tr>\n<tr>\n<td><b>Language Decoder<\/b><\/td>\n<td>GLM-0.5B (500M)<\/td>\n<\/tr>\n<tr>\n<td><b>Output Formats<\/b><\/td>\n<td>Markdown, JSON, LaTeX<\/td>\n<\/tr>\n<\/table>\n<ol>\n<li>Installer deploying local chat applications with multi-personality presets<\/li>\n<li>How to Autostart GLM-OCR No Python Required FREE<\/li>\n<li>Downloader pulling optimized mistral-nemo-12b weights for code documentation automated compilation systems<\/li>\n<li>How to Run GLM-OCR on AMD\/Nvidia GPU No Python Required Windows<\/li>\n<li>Setup script auto-detecting VRAM for optimal model layer splitting<\/li>\n<li>Zero-Click Run GLM-OCR on Copilot+ PC Fully Jailbroken Step-by-Step<\/li>\n<\/ol>","protected":false},"excerpt":{"rendered":"<p>If you want the fastest local installation for this model, use Docker. Follow the guidelines below to continue. The setup auto-streams the model assets (expect a multi-GB download). The automated installation script takes care of everything by tailoring the setup perfectly to your system specs. \ud83d\udd12 Hash checksum: 27fe4ef40935472c245d9ecc597fcd8f \u2022 \ud83d\udcc6 Last updated: 2026-06-28 Verify [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"categories":[21],"tags":[],"class_list":["post-29070","post","type-post","status-publish","format-standard","hentry","category-nodes"],"_links":{"self":[{"href":"https:\/\/trojka.org\/sr\/wp-json\/wp\/v2\/posts\/29070","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/trojka.org\/sr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/trojka.org\/sr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/trojka.org\/sr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/trojka.org\/sr\/wp-json\/wp\/v2\/comments?post=29070"}],"version-history":[{"count":1,"href":"https:\/\/trojka.org\/sr\/wp-json\/wp\/v2\/posts\/29070\/revisions"}],"predecessor-version":[{"id":29071,"href":"https:\/\/trojka.org\/sr\/wp-json\/wp\/v2\/posts\/29070\/revisions\/29071"}],"wp:attachment":[{"href":"https:\/\/trojka.org\/sr\/wp-json\/wp\/v2\/media?parent=29070"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/trojka.org\/sr\/wp-json\/wp\/v2\/categories?post=29070"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/trojka.org\/sr\/wp-json\/wp\/v2\/tags?post=29070"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}