{"id":1560,"date":"2026-07-04T20:21:11","date_gmt":"2026-07-04T20:21:11","guid":{"rendered":"https:\/\/qinyuannova.com\/?p=1560"},"modified":"2026-07-04T20:21:11","modified_gmt":"2026-07-04T20:21:11","slug":"setup-molmo2-8b-offline-on-pc-with-1m-context","status":"publish","type":"post","link":"https:\/\/qinyuannova.com\/ar\/setup-molmo2-8b-offline-on-pc-with-1m-context\/","title":{"rendered":"Setup Molmo2-8B Offline on PC with 1M Context"},"content":{"rendered":"<p><img decoding=\"async\" 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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:30px;padding-left:25px;margin-left:0;\">\n<li><b>Processor:<\/b> 4.0 GHz+ <b>boost clock<\/b> recommended for CPU inference<\/li>\n<li><strong>RAM:<\/strong> 32 GB or higher for <strong>smooth 32k context<\/strong> lengths<\/li>\n<li><b>Disk Space:<\/b> free: 80 GB on <b>system drive<\/b> for scratch space<\/li>\n<li><b>Graphics:<\/b> stable <b>30+ tk\/s<\/b> at 4-bit quantization on medium setup<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p>\u0625\u0646 <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>Setup utility enabling DirectML execution paths for modern Arc GPUs<\/li>\n<li>How to Launch Molmo2-8B Locally via LM Studio with 1M Context<\/li>\n<li>Script downloading custom layer weight arrays for experimental model merges<\/li>\n<li>Molmo2-8B Quantized GGUF Offline Setup FREE<\/li>\n<li>Script automating multi-part model file chunking for external FAT32 storage keys<\/li>\n<li>Deploy Molmo2-8B via WebGPU (Browser) Full Method<\/li>\n<li>Script fetching deepseek-math-7b models for local offline research sandbox platforms<\/li>\n<li>Molmo2-8B Full Speed NPU Mode Full Method<\/li>\n<\/ol>","protected":false},"excerpt":{"rendered":"<p>If 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