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language model designed for efficient inference on consumer hardware. Built on a reduced transformer architecture, it successfully retains strong performance on a variety of natural language processing tasks while requiring minimal memory footprint. The model leverages a shared embedding layer and grouped-query attention to further reduce computational load, making it ideal for edge devices and research prototyping. By utilizing these innovative techniques, developers can harness the power of tiny-GptOssForCausalLM to drive breakthroughs in NLP applications.<\/p>\n<h3>Key Benefits and Parameters<\/h3>\n<p>\u2022 Compact architecture: reducing memory requirements while maintaining performance\u2022 Open-source and permissive license: fostering community-driven improvements and collaboration\u2022 Reduced transformer architecture: efficient inference on consumer hardware\u2022 Shared embedding layer and grouped-query attention: minimizing computational load<\/p>\n<table>\n<tr>\n<th>Model<\/th>\n<th>Parameters (M)<\/th>\n<th>Training Tokens (T)<\/th>\n<th>Avg. Perplexity<\/th>\n<\/tr>\n<tr>\n<td>tiny-GptOssForCausalLM<\/td>\n<td>125<\/td>\n<td>1.5T<\/td>\n<td>21.3<\/td>\n<\/tr>\n<tr>\n<td>GPT-Nano 125M<\/td>\n<td>125M<\/td>\n<td>1.0T<\/td>\n<td>20.9<\/td>\n<\/tr>\n<tr>\n<td>LLaMA-2 7B<\/td>\n<td>7B<\/td>\n<td>2.0T<\/td>\n<td>18.5<\/td>\n<\/tr>\n<\/table>\n<h4>Advantages and Applications<\/h4>\n<p>\u2022 Edge devices: efficient inference enables widespread deployment\u2022 Research prototyping: accelerated development of NLP applications\u2022 Community-driven improvements: collaborative efforts foster innovation\u2022 Standard Hugging Face pipelines: seamless integration with existing frameworksBy embracing the capabilities of tiny-GptOssForCausalLM, developers can unlock new possibilities in NLP and drive transformative results.<\/p>\n<ul>\n<li>Script pulling low-latency audio classification model weights<\/li>\n<li>tiny-GptOssForCausalLM No-Code Guide<\/li>\n<li>Installer deploying automated RAG data chunking pipelines for multi-format text libraries<\/li>\n<li>Setup tiny-GptOssForCausalLM on AMD\/Nvidia GPU 2026\/2027 Tutorial FREE<\/li>\n<li>Setup tool installing Llamafile single-binary servers for enterprise networks<\/li>\n<li>tiny-GptOssForCausalLM Offline on PC FREE<\/li>\n<\/ul>\n<p><a href='https:\/\/prodsquads.com\/category\/portable\/'>https:\/\/prodsquads.com\/category\/portable\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The fastest tactical way to launch this model locally is via a Docker image. Please adhere to the deployment steps listed below. The setup auto-streams the model assets (expect a multi-GB download). The installer diagnoses your environment to deploy the most compatible profile. \ud83d\udcca File Hash: 6c1c975b359ee0a95c0e6856bb9a84be \u2014 Last update: 2026-07-07 Verify Processor: high single-core &hellip; <br \/><a href=\"https:\/\/www.johorfactories.com\/index.php\/2026\/07\/14\/tiny-gptossforcausallm-full-speed-npu-mode-offline-setup\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">tiny-GptOssForCausalLM Full Speed NPU Mode Offline Setup<\/span><\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[125],"tags":[],"_links":{"self":[{"href":"https:\/\/www.johorfactories.com\/index.php\/wp-json\/wp\/v2\/posts\/7113"}],"collection":[{"href":"https:\/\/www.johorfactories.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.johorfactories.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.johorfactories.com\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.johorfactories.com\/index.php\/wp-json\/wp\/v2\/comments?post=7113"}],"version-history":[{"count":1,"href":"https:\/\/www.johorfactories.com\/index.php\/wp-json\/wp\/v2\/posts\/7113\/revisions"}],"predecessor-version":[{"id":7114,"href":"https:\/\/www.johorfactories.com\/index.php\/wp-json\/wp\/v2\/posts\/7113\/revisions\/7114"}],"wp:attachment":[{"href":"https:\/\/www.johorfactories.com\/index.php\/wp-json\/wp\/v2\/media?parent=7113"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.johorfactories.com\/index.php\/wp-json\/wp\/v2\/categories?post=7113"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.johorfactories.com\/index.php\/wp-json\/wp\/v2\/tags?post=7113"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}