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alt=\"Setup Molmo2-8B on AMD\/Nvidia GPU Uncensored Edition Step-by-Step\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>Deploying locally takes the <i>least amount of time<\/i> when executed through <b>native OS tools<\/b>.<\/p>\n<p>Please <b>follow the instructions<\/b> listed below to get started.<\/p>\n<p> <\/p>\n<p><i>No manual effort needed; the setup auto-ingests the large data.<\/i><\/p>\n<p> <\/p>\n<p>To save you time, the system will <b>automatically determine efficient resource allocation<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:15px auto 65px;border-collapse:collapse;border-radius:24px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f1f5f9;box-shadow:0 16px 36px rgba(0,0,0,0.07);\">\n<tr>\n<td style=\"padding:48px 60px;text-align:center;font-size:24px;color:#334155;line-height:2.5;letter-spacing:-0.01em;\">\n<div style=\"text-align: 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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><b>CPU:<\/b> AVX2\/AVX-512 instruction set <b>required for llama.cpp<\/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> modern architecture (<strong>Ada Lovelace \/ Ampere<\/strong> minimum)<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h4>Revolutionizing Multimodal AI with Molmo2-8B<\/h4>\n<p>The Molmo2-8B is a groundbreaking vision-language model that seamlessly merges performance and efficiency to tackle an array of complex tasks. By harnessing an enhanced attention mechanism and a significantly expanded pretraining corpus, this cutting-edge model achieves unparalleled results on benchmarks such as VQA and text-to-image generation. With 8 billion parameters, the Molmo2-8B comfortably fits on a single GPU, while its context window reaches an impressive 8K tokens for intricate reasoning. Furthermore, a dedicated fine-tuning pipeline empowers developers to adapt the model for specialized domains, ranging from medical imaging to robotics, without sacrificing any significant capabilities. This innovative approach paves the way for more accurate and effective AI solutions in diverse fields. By leveraging the power of multimodal intelligence, the Molmo2-8B is poised to redefine the boundaries of human-machine collaboration.<\/p>\n<h4>Technical Specifications: A Closer Look<\/h4>\n<ul>\n<li>Processing Power:** 8 billion parameters, optimized for single-GPU deployment    <\/li>\n<li>Cognitive Capacity:** Context window up to 8K tokens for complex reasoning and inference    <\/li>\n<li>Training Data:** Utilizes public multimodal corpora for comprehensive knowledge acquisition<\/ul>\n<h4>Fine-Tuning Pipeline: Empowering Domain Adaptation<\/h4>\n<ol>\n<li>Dedicated pipeline for specialized domain adaptation, minimizing loss of capability    <\/li>\n<li>Enables seamless integration with medical imaging, robotics, and other domains    <\/li>\n<li>Facilitates collaborative efforts between researchers and developers across diverse fields<\/ol>\n<h4>Metric Comparison: Molmo2-8B vs. Earlier Versions<\/h4>\n<table>\n<tr>\n<th>Metric<\/th>\n<th(Value)<\/th>\n<\/tr>\n<tr>\n<td><strong>Parameters (B)<\/strong><\/td>\n<td>8<\/td>\n<\/tr>\n<tr>\n<td><strong>Context Length (tokens)<\/strong><\/td>\n<td>2K tokens<\/td>\n<\/tr>\n<tr>\n<td><strong>Training Data<\/strong><\/td>\n<td>Public multimodal corpora<\/td>\n<\/tr>\n<\/table>\n<h4>Molmo2-8B: A New Era in Multimodal Intelligence<\/h4>\n<p>The Molmo2-8B represents a significant milestone in the quest for more accurate and effective AI solutions. By combining advanced technologies with innovative design, this model has set a new standard for vision-language performance and efficiency. As researchers and developers continue to push the boundaries of what is possible, the Molmo2-8B serves as a powerful catalyst for driving progress in diverse fields.<\/p>\n<ul>\n<li>Downloader pulling compact smollm variants for real-time edge processing<\/li>\n<li>Molmo2-8B via WebGPU (Browser) Full Speed NPU Mode 2026\/2027 Tutorial<\/li>\n<li>Downloader pulling custom animation checkpoints for Stable Video Diffusion<\/li>\n<li>How to Setup Molmo2-8B Locally (No Cloud) 2026\/2027 Tutorial<\/li>\n<li>Setup utility for loading Llama-3.3 high-context models into LM Studio<\/li>\n<li>Molmo2-8B Easy Build<\/li>\n<li>Setup tool checking Blake3 hashes for high-speed model file verification<\/li>\n<li>How to Deploy Molmo2-8B Fully Jailbroken<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Deploying locally takes the least amount of time when executed through native OS tools. Please follow the instructions listed below to get started. 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