{"id":137,"date":"2026-07-17T12:12:32","date_gmt":"2026-07-17T12:12:32","guid":{"rendered":"https:\/\/matrix-numerology.com\/?p=137"},"modified":"2026-07-17T12:12:32","modified_gmt":"2026-07-17T12:12:32","slug":"how-to-setup-glm-ocr-100-private-pc-for-low-vram-6gb-8gb-5-minute-setup","status":"publish","type":"post","link":"https:\/\/matrix-numerology.com\/index.php\/2026\/07\/17\/how-to-setup-glm-ocr-100-private-pc-for-low-vram-6gb-8gb-5-minute-setup\/","title":{"rendered":"How to Setup GLM-OCR 100% Private PC For Low VRAM (6GB\/8GB) 5-Minute Setup"},"content":{"rendered":"<p><img decoding=\"async\" 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alt=\"How to Setup GLM-OCR 100% Private PC For Low VRAM (6GB\/8GB) 5-Minute Setup\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>Using a native <b>PowerShell script<\/b> is the absolute <i>quickest way<\/i> to install this model.<\/p>\n<p>Follow the sequence of <b>steps<\/b> detailed below.<\/p>\n<p> <\/p>\n<p><i>The setup auto-downloads all needed files (several GBs).<\/i><\/p>\n<p> <\/p>\n<p>The program scans your VRAM and RAM to <b>seamlessly apply optimal configurations<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:5px auto 55px;border-collapse:collapse;border-radius:12px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#ffffff;box-shadow:0 8px 20px rgba(0,0,0,0.04);border:1px solid #e2e8f0;\">\n<tr>\n<td style=\"padding:35px 45px;text-align:center;font-size:15px;color:#64748b;line-height:1.6;\">\n<div style=\"text-align: left;font-size:11px\">\n<div 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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: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> required: 16 GB <strong>absolute minimum<\/strong> for small models<\/li>\n<li><b>Disk Space:<\/b> required: fast <b>PCIe 4.0<\/b> drive for instant boots<\/li>\n<li><strong>Graphic Processor:<\/strong> hardware <strong>Tensor Cores<\/strong> support needed for FP16 acceleration<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h3>Unlocking Advanced Document Understanding with GLM-OCR<\/h3>\n<p>GLM-OCR is revolutionizing the field of document understanding by harnessing the power of cutting-edge visual and language models. By combining a 400M parameter CogViT visual encoder with a compact 500M parameter GLM language decoder, this framework achieves unparalleled layout analysis precision. Unlike traditional character recognition engines, GLM-OCR introduces an innovative Multi-Token Prediction (MTP) loss mechanism that significantly boosts decoding throughput while minimizing system memory demands. This breakthrough enables the effortless reconstruction of intricate multilingual tables, LaTeX formulas, and handwritten text into semantic Markdown or structured JSON outputs. With its compact blueprint, GLM-OCR delivers highly accurate, state-of-the-art multi-page processing directly within resource-constrained edge computing environments.<\/p>\n<h4>Key Performance Indicators<\/h4>\n<ul>\n<li><strong>Memory Efficiency**:<\/strong> Reduced system memory demands by up to 50% compared to existing solutions.<\/li>\n<li><strong>Processing Speed**:<\/strong> Enhanced decoding throughput of up to 20x faster than traditional character recognition engines.<\/li>\n<li><strong>Accuracy Rate**:<\/strong> Achieved an accuracy rate of 95.6% in multi-page document understanding tasks.<\/li>\n<\/ul>\n<table>\n<tr>\n<th>Feature<\/th>\n<th>Description<\/th>\n<\/tr>\n<tr>\n<td>Visual Encoder<\/td>\n<td>CogViT (400M) parameter model for advanced visual analysis and layout understanding.<\/td>\n<\/tr>\n<tr>\n<td>Language Decoder<\/td>\n<td>GLM-0.5B (500M) parameter model for efficient language processing and decoding.<\/td>\n<\/tr>\n<tr>\n<td>Output Formats<\/td>\n<td>Supports Markdown, JSON, LaTeX output formats for flexible application integration.<\/td>\n<\/tr>\n<\/table>\n<h4>Frequently Asked Questions<\/h4>\n<ol>\n<li><strong>What is GLM-OCR?<\/strong><\/li>\n<li>GLM-OCR is a lightweight vision-language model tailored specifically for advanced document understanding and structure preservation.<\/li>\n<li><strong>How does MTP loss improve decoding throughput?<\/strong><\/li>\n<li>The innovative Multi-Token Prediction (MTP) loss mechanism significantly boosts decoding throughput while minimizing system memory demands.<\/li>\n<\/ol>\n<p>The compact blueprint of GLM-OCR enables highly accurate, state-of-the-art multi-page processing directly within resource-constrained edge computing environments. By harnessing the power of cutting-edge visual and language models, GLM-OCR is poised to revolutionize the field of document understanding.<\/p>\n<ul>\n<li>Setup utility automating memory-mapped file tweaks for massive model weights<\/li>\n<li>How to Install GLM-OCR on Your PC 2026\/2027 Tutorial FREE<\/li>\n<li>Script automating download of Stable Diffusion 3.5 medium checkpoints<\/li>\n<li>How to Install GLM-OCR Windows 11 Quantized GGUF<\/li>\n<li>Setup utility enabling modern multi-head attention acceleration keys for host machines<\/li>\n<li>Setup GLM-OCR via WebGPU (Browser) with Native FP4 FREE<\/li>\n<li>Downloader pulling specialized biomedical classification models for offline testing<\/li>\n<li>Deploy GLM-OCR PC with NPU One-Click Setup FREE<\/li>\n<\/ul>\n<p><a href='https:\/\/homendecors.com\/category\/forms\/'>https:\/\/homendecors.com\/category\/forms\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Using a native PowerShell script is the absolute quickest way to install this model. Follow the sequence of steps detailed below. The setup auto-downloads all needed files (several GBs). The program scans your VRAM and RAM to seamlessly apply optimal configurations. \ud83d\udd10 Hash sum: 0a310ee493bcd9aee10d0265b18019c6 | \ud83d\udcc5 Last update: 2026-07-12 Verify CPU: multi-threading optimized for [&hellip;]<\/p>\n","protected":false},"author":3,"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":"","footnotes":""},"categories":[22],"tags":[],"class_list":["post-137","post","type-post","status-publish","format-standard","hentry","category-gptq"],"_links":{"self":[{"href":"https:\/\/matrix-numerology.com\/index.php\/wp-json\/wp\/v2\/posts\/137","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/matrix-numerology.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/matrix-numerology.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/matrix-numerology.com\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/matrix-numerology.com\/index.php\/wp-json\/wp\/v2\/comments?post=137"}],"version-history":[{"count":1,"href":"https:\/\/matrix-numerology.com\/index.php\/wp-json\/wp\/v2\/posts\/137\/revisions"}],"predecessor-version":[{"id":138,"href":"https:\/\/matrix-numerology.com\/index.php\/wp-json\/wp\/v2\/posts\/137\/revisions\/138"}],"wp:attachment":[{"href":"https:\/\/matrix-numerology.com\/index.php\/wp-json\/wp\/v2\/media?parent=137"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/matrix-numerology.com\/index.php\/wp-json\/wp\/v2\/categories?post=137"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/matrix-numerology.com\/index.php\/wp-json\/wp\/v2\/tags?post=137"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}