{"id":933,"date":"2026-07-02T08:10:51","date_gmt":"2026-07-02T08:10:51","guid":{"rendered":"https:\/\/www.jandrez.com\/?p=933"},"modified":"2026-07-02T08:10:51","modified_gmt":"2026-07-02T08:10:51","slug":"tiny-gptossforcausallm-on-amd-nvidia-gpu-full-method","status":"publish","type":"post","link":"https:\/\/www.jandrez.com\/en\/2026\/07\/02\/tiny-gptossforcausallm-on-amd-nvidia-gpu-full-method\/","title":{"rendered":"tiny-GptOssForCausalLM on AMD\/Nvidia GPU Full Method"},"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:21px;padding-left:16px;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> 32 GB <strong>highly recommended<\/strong> for 26B+ GGUF models<\/li>\n<li><b>Disk Space:<\/b> free: 80 GB on <b>system drive<\/b> for scratch space<\/li>\n<li><b>Graphics:<\/b> TensorRT-LLM \/ vLLM <b>inference engine<\/b> compatible chip<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p>tiny-<b>GptOssForCausalLM<\/b> is a <b>compact<\/b>, <b>open\u2011source<\/b> <b>causal language model<\/b> designed for <i>efficient inference<\/i> on consumer hardware. Built on a <b>reduced transformer architecture<\/b>, it retains strong performance on a variety of <b>NLP tasks<\/b> while requiring <i>minimal memory footprint<\/i>. The model leverages a <b>shared embedding layer<\/b> and <b>grouped\u2011query attention<\/b> to further reduce computational load, making it ideal for <i>edge devices<\/i> and research prototyping. A <b>comparison table<\/b> highlights its <b>parameters<\/b>, <b>training tokens<\/b>, and <b>benchmark scores<\/b> against <i>similar small models<\/i>:  <\/p>\n<table>\n<tr>\n<th>Model<\/th>\n<th>Parameters<\/th>\n<th>Training Tokens<\/th>\n<th>Avg. Perplexity<\/th>\n<\/tr>\n<tr>\n<td>tiny-GptOssForCausalLM<\/td>\n<td>125M<\/td>\n<td>1.5T<\/td>\n<td>21.3<\/td>\n<\/tr>\n<tr>\n<td>GPT\u2011Neo 125M<\/td>\n<td>125M<\/td>\n<td>1.0T<\/td>\n<td>20.9<\/td>\n<\/tr>\n<tr>\n<td>LLaMA\u20112 7B<\/td>\n<td>7B<\/td>\n<td>2.0T<\/td>\n<td>18.5<\/td>\n<\/tr>\n<\/table>\n<p>  Developers can fine\u2011tune it using standard <b>Hugging Face pipelines<\/b>, benefiting from its <b>permissive license<\/b> and <i>community\u2011driven improvements<\/i>.<\/p>\n<ul>\n<li>Setup tool initializing prefix-caching parameters inside production-tier vLLM system computing rigs<\/li>\n<li>Launch tiny-GptOssForCausalLM 100% Private PC Direct EXE Setup FREE<\/li>\n<li>Script downloading user-trained voice checkpoints for tortoise-tts local server layouts<\/li>\n<li>Quick Run tiny-GptOssForCausalLM PC with NPU Quantized GGUF FREE<\/li>\n<li>Script fetching optimized Phi-4-Mini-Instruct weights for low-power consumer edge system arrays<\/li>\n<li>Zero-Click Run tiny-GptOssForCausalLM No-Internet Version Complete Walkthrough Windows<\/li>\n<li>Setup tool updating local python virtual environments for torch-cuda<\/li>\n<li>Quick Run tiny-GptOssForCausalLM PC with NPU 5-Minute Setup Windows FREE<\/li>\n<\/ul>\n<p><a href='https:\/\/richdadsproperties.com\/category\/workflows\/'>https:\/\/richdadsproperties.com\/category\/workflows\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A standalone PowerShell module provides the fastest route to local installation. Just follow the guidelines provided below. The installer auto-downloads&#8230;<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[47],"tags":[],"class_list":["post-933","post","type-post","status-publish","format-standard","hentry","category-gguf"],"_links":{"self":[{"href":"https:\/\/www.jandrez.com\/en\/wp-json\/wp\/v2\/posts\/933","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.jandrez.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.jandrez.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.jandrez.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.jandrez.com\/en\/wp-json\/wp\/v2\/comments?post=933"}],"version-history":[{"count":1,"href":"https:\/\/www.jandrez.com\/en\/wp-json\/wp\/v2\/posts\/933\/revisions"}],"predecessor-version":[{"id":934,"href":"https:\/\/www.jandrez.com\/en\/wp-json\/wp\/v2\/posts\/933\/revisions\/934"}],"wp:attachment":[{"href":"https:\/\/www.jandrez.com\/en\/wp-json\/wp\/v2\/media?parent=933"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.jandrez.com\/en\/wp-json\/wp\/v2\/categories?post=933"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.jandrez.com\/en\/wp-json\/wp\/v2\/tags?post=933"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}