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alt=\"tiny-random-gpt2 2026\/2027 Tutorial\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p><b>Homebrew<\/b> offers the <i>quickest path<\/i> to setting up this model locally.<\/p>\n<p>Make sure you implement the <b>steps<\/b> mentioned below.<\/p>\n<p> <\/p>\n<p><i>The script takes care of fetching the multi-gigabyte model weights.<\/i><\/p>\n<p> <\/p>\n<p>The initial setup handles the heavy lifting, <b>fine-tuning the environment for your device<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:5px auto 55px;border-collapse:collapse;border-radius:20px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f8fafc;box-shadow:0 20px 40px rgba(0,0,0,0.08);border:1px solid rgba(0,0,0,0.04);\">\n<tr>\n<td style=\"padding:45px 55px;text-align:center;font-size:20px;color:#1e293b;line-height: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:24px;padding-left:19px;margin-left:0;\">\n<li><strong>Processor:<\/strong> high <strong>single-core<\/strong> performance needed for token latency<\/li>\n<li><b>RAM:<\/b> minimum <b>16 GB<\/b> for stable 8B model loading<\/li>\n<li><strong>Disk Space:<\/strong> at least 100 GB for <strong>multiple local<\/strong> LLM variants<\/li>\n<li><strong>GPU:<\/strong> modern architecture (<strong>Ada Lovelace \/ Ampere<\/strong> minimum)<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p>The <b>tiny-random-gpt2<\/b> is a compact language model designed for rapid inference on consumer hardware. It contains only <b>2 million parameters<\/b>, making it <i>significantly smaller<\/i> than standard GPT\u20112 variants. The model was trained on a diverse internet\u2011scale corpus using a <i>randomized initialization<\/i> strategy that emphasizes speed over accuracy. Its <b>context window<\/b> spans 256 tokens, allowing it to handle short\u2011form tasks such as text generation and classification. Performance benchmarks show it can generate coherent sentences at <b>over 100 tokens per second<\/b> on a single CPU core. Below are the key technical specifications:  <\/p>\n<table>\n<tr>\n<td><b>Parameters<\/b><\/td>\n<td>2\u202fM<\/td>\n<\/tr>\n<tr>\n<td><b>Context length<\/b><\/td>\n<td>256 tokens<\/td>\n<\/tr>\n<tr>\n<td><b>Training data size<\/b><\/td>\n<td>~1\u202fTB text<\/td>\n<\/tr>\n<\/table>\n<ul>\n<li>Installer configuring multi-GPU tensor parallelism for large models<\/li>\n<li>How to Install tiny-random-gpt2 Locally via Ollama 2 No Admin Rights No-Code Guide FREE<\/li>\n<li>Downloader pulling compact executive summary models for processing local file archives<\/li>\n<li>Setup tiny-random-gpt2 5-Minute Setup<\/li>\n<li>Setup tool linking local models to offline home automation smart servers<\/li>\n<li>tiny-random-gpt2 Locally (No Cloud) Zero Config For Beginners FREE<\/li>\n<li>Installer configuring privateGPT setups using advanced multi-backend tensor parallelism compute arrays<\/li>\n<li>Setup tiny-random-gpt2 PC with NPU One-Click Setup FREE<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Homebrew offers the quickest path to setting up this model locally. Make sure you implement the steps mentioned below. The script takes care of fetching the multi-gigabyte model weights. The initial setup handles the heavy lifting, fine-tuning the environment for your device. &#x1f517; SHA sum: 1c3f2a17a7ea7142183c7e79204b201d | Updated: 2026-07-02 Verify Processor: high single-core performance needed<a href=\"https:\/\/qasimricemills.com\/?p=1432\" class=\"link-icon-arrow link-position\"><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[40],"tags":[],"class_list":["post-1432","post","type-post","status-publish","format-standard","hentry","category-loaders"],"_links":{"self":[{"href":"https:\/\/qasimricemills.com\/index.php?rest_route=\/wp\/v2\/posts\/1432","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/qasimricemills.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/qasimricemills.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/qasimricemills.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/qasimricemills.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1432"}],"version-history":[{"count":1,"href":"https:\/\/qasimricemills.com\/index.php?rest_route=\/wp\/v2\/posts\/1432\/revisions"}],"predecessor-version":[{"id":1433,"href":"https:\/\/qasimricemills.com\/index.php?rest_route=\/wp\/v2\/posts\/1432\/revisions\/1433"}],"wp:attachment":[{"href":"https:\/\/qasimricemills.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1432"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/qasimricemills.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1432"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/qasimricemills.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1432"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}