{"id":9866,"date":"2026-07-09T15:28:12","date_gmt":"2026-07-09T13:28:12","guid":{"rendered":"https:\/\/www.mobevent.fr\/?p=9866"},"modified":"2026-07-09T15:28:12","modified_gmt":"2026-07-09T13:28:12","slug":"how-to-autostart-tiny-random-optforcausallm-offline-on-pc-no-python-required","status":"publish","type":"post","link":"https:\/\/www.mobevent.fr\/en\/2026\/07\/09\/how-to-autostart-tiny-random-optforcausallm-offline-on-pc-no-python-required\/","title":{"rendered":"How to Autostart tiny-random-OPTForCausalLM Offline on PC No Python Required"},"content":{"rendered":"<p><img decoding=\"async\" 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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><strong>Processor:<\/strong> high <strong>single-core<\/strong> performance needed for token latency<\/li>\n<li><strong>RAM:<\/strong> 32 GB or higher for <strong>smooth 32k context<\/strong> lengths<\/li>\n<li><strong>Disk Space:<\/strong> at least 100 GB for <strong>multiple local<\/strong> LLM variants<\/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 **tiny-random-OPTForCausalLM** is a lightweight causal language model designed for efficient inference on modest hardware.   Built on the OPT architecture but scaled down to **256M parameters**, it uses a reduced **attention head count** and a <i>compact embedding layer<\/i> to keep memory usage low.   It was trained on a diverse web\u2011based corpus using a **causal loss**, which enables strong performance on text generation tasks while maintaining a small footprint.   Benchmarks show competitive **perplexity** scores for its size, especially in short\u2011form generation, and it supports fast **token streaming** for <i>real\u2011time<\/i> applications.   Overall, the model balances speed and quality, making it suitable for deployment in resource\u2011constrained environments.    <\/p>\n<table>\n<tr>\n<th>Parameter Count<\/th>\n<th>Hidden Size<\/th>\n<th>Attention Heads<\/th>\n<th>Max Sequence Length<\/th>\n<th>Model Size (GB)<\/th>\n<\/tr>\n<tr>\n<td>256M<\/td>\n<td>768<\/td>\n<td>12<\/td>\n<td>2048<\/td>\n<td>0.5<\/td>\n<\/tr>\n<\/table>\n<ul>\n<li>Script automating parallel down-streaming of sharded Hugging Face model chunks safely<\/li>\n<li>tiny-random-OPTForCausalLM Locally via LM Studio Step-by-Step<\/li>\n<li>Downloader for customized Gemma-2-27B GGUF files with smart offloading<\/li>\n<li>How to Setup tiny-random-OPTForCausalLM on Your PC<\/li>\n<li>Script downloading specialized multi-column layout parsing models for PDF scrapers<\/li>\n<li>Deploy tiny-random-OPTForCausalLM Offline on PC No-Internet Version Direct EXE Setup FREE<\/li>\n<\/ul>\n<p><a href=\"https:\/\/corearitual.com\/category\/bypass\/\" target=\"_blank\" rel=\"noopener\">https:\/\/corearitual.com\/category\/bypass\/<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>Deploying this model locally is quickest when done via a simple curl command. Kindly follow the on-screen instructions below. The installer auto-downloads and deploys the entire model pack. The engine benchmarks your hardware to apply the most effective operational mode. \ud83e\uddee Hash-code: c0d471c18712a83c9c44a6d5ee0f30e4 \u2022 \ud83d\udcc6 2026-07-08 Verify Processor: high single-core performance needed for token latency [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[87],"tags":[],"class_list":["post-9866","post","type-post","status-publish","format-standard","hentry","category-wrappers"],"_links":{"self":[{"href":"https:\/\/www.mobevent.fr\/en\/wp-json\/wp\/v2\/posts\/9866","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mobevent.fr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.mobevent.fr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.mobevent.fr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mobevent.fr\/en\/wp-json\/wp\/v2\/comments?post=9866"}],"version-history":[{"count":1,"href":"https:\/\/www.mobevent.fr\/en\/wp-json\/wp\/v2\/posts\/9866\/revisions"}],"predecessor-version":[{"id":9867,"href":"https:\/\/www.mobevent.fr\/en\/wp-json\/wp\/v2\/posts\/9866\/revisions\/9867"}],"wp:attachment":[{"href":"https:\/\/www.mobevent.fr\/en\/wp-json\/wp\/v2\/media?parent=9866"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.mobevent.fr\/en\/wp-json\/wp\/v2\/categories?post=9866"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.mobevent.fr\/en\/wp-json\/wp\/v2\/tags?post=9866"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}