{"id":7668,"date":"2026-07-16T00:46:10","date_gmt":"2026-07-15T22:46:10","guid":{"rendered":"https:\/\/www.ilrarchitecture.fr\/?p=7668"},"modified":"2026-07-16T00:46:10","modified_gmt":"2026-07-15T22:46:10","slug":"zero-click-run-tiny-gptossforcausallm-windows","status":"publish","type":"post","link":"https:\/\/www.ilrarchitecture.fr\/fr\/zero-click-run-tiny-gptossforcausallm-windows\/","title":{"rendered":"Zero-Click Run tiny-GptOssForCausalLM Windows"},"content":{"rendered":"<p><img decoding=\"async\" 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alt=\"Zero-Click Run tiny-GptOssForCausalLM Windows\" 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>Follow the sequence of <b>steps<\/b> detailed below.<\/p>\n<p> <\/p>\n<p><i>The installer auto-downloads and deploys the entire model pack.<\/i><\/p>\n<p> <\/p>\n<p>The deployment tool scans your environment and <b>chooses the ideal parameters<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:15px auto 65px;border-collapse:collapse;border-radius:20px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#fdfdfd;box-shadow:0 15px 32px rgba(0,0,0,0.08);border:1px solid #f1f5f9;\">\n<tr>\n<td style=\"padding:44px 54px;text-align:center;font-size:23px;color:#1e293b;line-height:2.6;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:28px;padding-left:23px;margin-left:0;\">\n<li><b>Processor:<\/b> 4.0 GHz+ <b>boost clock<\/b> recommended for CPU inference<\/li>\n<li><b>RAM:<\/b> 64 GB to <b>avoid OOM crashes<\/b> on large contexts<\/li>\n<li><b>Disk Space:<\/b> required: fast <b>PCIe 4.0<\/b> drive for instant boots<\/li>\n<li><strong>Graphic Processor:<\/strong> hardware <strong>Tensor Cores<\/strong> support needed for FP16 acceleration<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h4>Unveiling the Tiny GptOssForCausalLM: A Powerhouse for Edge Devices<\/h4>\n<p>Tiny GptOssForCausalLM is a groundbreaking, open-source causal language model specifically designed to excel on consumer hardware. Built upon a reduced transformer architecture, it showcases remarkable performance across various NLP tasks while boasting an impressively minimal memory footprint. This innovative model leverages a shared embedding layer and grouped-query attention mechanisms to further reduce computational load, making it an ideal choice for edge devices and research prototyping endeavors. By harnessing the power of these cutting-edge technologies, Tiny GptOssForCausalLM enables developers to push the boundaries of language understanding and processing. With its remarkable capabilities and permissive license, this model is poised to revolutionize the field of natural language processing.<\/p>\n<h4>Comparison Table: tiny-GptOssForCausalLM vs. Comparable Models<\/h4>\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<h4>Frequently Asked Questions<\/h4>\n<p>Q: What makes Tiny GptOssForCausalLM unique?A: Its reduced transformer architecture and shared embedding layer enable efficient inference on consumer hardware, making it an ideal choice for edge devices.Q: Can I fine-tune Tiny GptOssForCausalLM using standard Hugging Face pipelines?A: Yes, its permissive license and community-driven improvements make it a versatile model for customizations and research applications.Q: What are the benefits of using Tiny GptOssForCausalLM in edge devices?A: Its minimal memory footprint and reduced computational load enable seamless deployment on resource-constrained hardware, making it perfect for IoT applications.<\/p>\n<h4>Key Features and Advantages<\/h4>\n<p>\u2022 **Efficient Inference**: Tiny GptOssForCausalLM&#8217;s reduced transformer architecture and shared embedding layer ensure fast and reliable inference on consumer hardware.\u2022 **Permissive License**: Its open-source nature and permissive license enable developers to fine-tune the model for their specific use cases, fostering a community-driven approach to innovation.\u2022 **Edge Device Optimized**: With its minimal memory footprint and reduced computational load, Tiny GptOssForCausalLM is perfectly suited for deployment on edge devices, enabling seamless integration into IoT applications.<\/p>\n<ul>\n<li>Script fetching custom model merges and experimental model blends<\/li>\n<li>tiny-GptOssForCausalLM via WebGPU (Browser) Offline Setup<\/li>\n<li>Setup utility adjusting context window limitations on local hardware<\/li>\n<li>Run tiny-GptOssForCausalLM Windows 10 For Low VRAM (6GB\/8GB) FREE<\/li>\n<li>Setup utility fixing python library dependency loops for model backends<\/li>\n<li>Deploy tiny-GptOssForCausalLM via WebGPU (Browser) 5-Minute Setup<\/li>\n<li>Setup utility deploying structured response models tailored for automated JSON parsing nodes<\/li>\n<li>Install tiny-GptOssForCausalLM Step-by-Step<\/li>\n<li>Installer configuring secure multi-level authentication profiles for shared local nodes<\/li>\n<li>tiny-GptOssForCausalLM FREE<\/li>\n<li>Setup utility configuring private RAG engines using modern BGE embeddings<\/li>\n<li>How to Setup tiny-GptOssForCausalLM Zero Config Step-by-Step FREE<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Homebrew offers the quickest path to setting up this model locally. Follow the sequence of steps detailed below. The installer auto-downloads and deploys the entire model pack. The deployment tool scans your environment and chooses the ideal parameters. \ud83d\udd0d Hash-sum: cea961069499c9b911cb891e0e05a5a2 | \ud83d\udd53 Last update: 2026-07-15 Verify Processor: 4.0 GHz+ [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[234],"tags":[],"class_list":["post-7668","post","type-post","status-publish","format-standard","hentry","category-rankers"],"_links":{"self":[{"href":"https:\/\/www.ilrarchitecture.fr\/fr\/wp-json\/wp\/v2\/posts\/7668","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ilrarchitecture.fr\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ilrarchitecture.fr\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ilrarchitecture.fr\/fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ilrarchitecture.fr\/fr\/wp-json\/wp\/v2\/comments?post=7668"}],"version-history":[{"count":1,"href":"https:\/\/www.ilrarchitecture.fr\/fr\/wp-json\/wp\/v2\/posts\/7668\/revisions"}],"predecessor-version":[{"id":7669,"href":"https:\/\/www.ilrarchitecture.fr\/fr\/wp-json\/wp\/v2\/posts\/7668\/revisions\/7669"}],"wp:attachment":[{"href":"https:\/\/www.ilrarchitecture.fr\/fr\/wp-json\/wp\/v2\/media?parent=7668"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ilrarchitecture.fr\/fr\/wp-json\/wp\/v2\/categories?post=7668"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ilrarchitecture.fr\/fr\/wp-json\/wp\/v2\/tags?post=7668"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}