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alt=\"Zero-Click Run Cosmos-Reason2-2B For Beginners\" style=\"display:block;width:100%;height:auto;border-radius:8px\"><\/p>\n<p>The <i>most efficient approach<\/i> for a local installation is leveraging <b>Docker containers<\/b>.<\/p>\n<p>Refer to the <b>instructions below<\/b> to proceed.<\/p>\n<p> <\/p>\n<p><i>Be patient as the system self-retrieves massive model weights dynamically.<\/i><\/p>\n<p> <\/p>\n<p>The script runs a quick hardware check to <b>dynamically adjust parameters for elite speed<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:10px auto 60px;border-collapse:collapse;border-radius:16px;overflow:hidden;,Roboto,Helvetica,Arial,sans-serif;background:#ffffff;border:1px solid #cbd5e1\">\n<tr>\n<td style=\"padding:46px 56px;text-align:center;font-size:21px;color:#0f172a;line-height:2.7;letter-spacing:-0.01em\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#556B2F\">\ud83d\udd12 Hash checksum: 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style=\"text-align:center\"><\/div>\n<\/td>\n<\/tr>\n<\/table>\n<ul style=\"margin-top:22px;padding-left:17px;margin-left:0\">\n<li><b>CPU:<\/b> AVX2\/AVX-512 instruction set <b>required for llama.cpp<\/b><\/li>\n<li><strong>RAM:<\/strong> fast <strong>5600MHz+<\/strong> required to avoid memory bottlenecks<\/li>\n<li><b>Disk Space:<\/b> 100 GB for multi-modal model vision components<\/li>\n<li><b>Graphics:<\/b> CUDA Compute Capability 8.0+ <b>required for flash-attention<\/b><\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p>The <b>Cosmos-Reason2-2B<\/b> model delivers state\u2011of\u2011the\u2011art reasoning capabilities in a compact <b>2\u2011billion parameter<\/b> package. It leverages a hybrid training approach that combines symbolic reasoning with large\u2011scale neural data to achieve superior performance on logical inference tasks. Despite its small size, the model maintains a long contextual window, enabling it to process up to <i>8K tokens<\/i> per input without significant loss in accuracy. The architecture incorporates efficient attention mechanisms that reduce computational overhead, making it ideal for deployment on edge devices and research experiments. Benchmarks show that <b>Cosmos-Reason2-2B<\/b> outperforms comparable models by a notable margin on reasoning\u2011focused datasets while consuming less power. Its open\u2011source release encourages community contributions, fostering rapid iteration and the development of new reasoning\u2011augmented applications.    <\/p>\n<table>\n<tr>\n<th>Parameter<\/th>\n<th>Value<\/th>\n<\/tr>\n<tr>\n<td><b>Parameters<\/b><\/td>\n<td>2\u202fB<\/td>\n<\/tr>\n<tr>\n<td><b>Context Length<\/b><\/td>\n<td>8K tokens<\/td>\n<\/tr>\n<tr>\n<td><b>Training Data<\/b><\/td>\n<td>Hybrid symbolic + neural corpora<\/td>\n<\/tr>\n<tr>\n<td><b>Benchmark (MMLU)<\/b><\/td>\n<td>84.3\u202f%<\/td>\n<\/tr>\n<tr>\n<td><b>Inference Latency<\/b><\/td>\n<td>12\u202fms<\/td>\n<\/tr>\n<tr>\n<td><b>Model Size<\/b><\/td>\n<td>7.5\u202fMB<\/td>\n<\/tr>\n<\/table>\n<ul>\n<li>Downloader pulling advanced upscaler model weights like SUPIR-v2 for Forge UI<\/li>\n<li>How to Launch Cosmos-Reason2-2B Fully Jailbroken No-Code Guide Windows FREE<\/li>\n<li>Installer configuring localized context shift parameters for massive documentation enterprise data pipelines<\/li>\n<li>Cosmos-Reason2-2B PC with NPU One-Click Setup Complete Walkthrough FREE<\/li>\n<li>Downloader pulling hyper-efficient model variations tailored for mobile phone CPU tests<\/li>\n<li>Quick Run Cosmos-Reason2-2B Zero Config Direct EXE Setup<\/li>\n<li>Downloader pulling customized character-card narrative profiles for roleplay setups<\/li>\n<li>How to Setup Cosmos-Reason2-2B Locally via LM Studio For Low VRAM (6GB\/8GB) No-Code Guide<\/li>\n<li>Installer configuring localized autogen multi-agent spaces with internal model processing blocks<\/li>\n<li>Cosmos-Reason2-2B Complete Walkthrough FREE<\/li>\n<li>Setup tool installing single-binary Llamafile servers for disconnected laboratory systems<\/li>\n<li>How to Run Cosmos-Reason2-2B Locally (No Cloud) For Low VRAM (6GB\/8GB) Dummy Proof Guide FREE<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>The most efficient approach for a local installation is leveraging Docker containers. Refer to the instructions below to proceed. Be patient as the system self-retrieves massive model weights dynamically. The script runs a quick hardware check to dynamically adjust parameters for elite speed. \ud83d\udd12 Hash checksum: 3185cf26c7ad1d11bfd8da63d13d1f42 \u2022 \ud83d\udcc6 Last updated: 2026-06-30 &lt;img src=&quot;data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7&quot; style=&quot;display:none;&quot; [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1797","post","type-post","status-publish","format-standard","hentry","category-blog"],"acf":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/gataygiong.com\/index.php\/wp-json\/wp\/v2\/posts\/1797","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gataygiong.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gataygiong.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gataygiong.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/gataygiong.com\/index.php\/wp-json\/wp\/v2\/comments?post=1797"}],"version-history":[{"count":1,"href":"https:\/\/gataygiong.com\/index.php\/wp-json\/wp\/v2\/posts\/1797\/revisions"}],"predecessor-version":[{"id":1798,"href":"https:\/\/gataygiong.com\/index.php\/wp-json\/wp\/v2\/posts\/1797\/revisions\/1798"}],"wp:attachment":[{"href":"https:\/\/gataygiong.com\/index.php\/wp-json\/wp\/v2\/media?parent=1797"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gataygiong.com\/index.php\/wp-json\/wp\/v2\/categories?post=1797"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gataygiong.com\/index.php\/wp-json\/wp\/v2\/tags?post=1797"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}