{"id":16219,"date":"2026-07-13T21:27:09","date_gmt":"2026-07-13T19:27:09","guid":{"rendered":"https:\/\/sa3dawy.store\/?p=16219"},"modified":"2026-07-13T21:27:09","modified_gmt":"2026-07-13T19:27:09","slug":"run-tiny-gptossforcausallm-locally-via-ollama-2","status":"publish","type":"post","link":"https:\/\/sa3dawy.store\/ar\/run-tiny-gptossforcausallm-locally-via-ollama-2\/","title":{"rendered":"Run tiny-GptOssForCausalLM Locally via Ollama 2"},"content":{"rendered":"<p><img decoding=\"async\" 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alt=\"Run tiny-GptOssForCausalLM Locally via Ollama 2\" style=\"width:100%;height:auto;border-radius:8px\"><\/p>\n<p>To install this model locally in the <i>shortest time<\/i>, opt for a direct <b>curl execution<\/b>.<\/p>\n<p>Follow the <i>straightforward<\/i> <b>walkthrough<\/b> provided below.<\/p>\n<p> <\/p>\n<p><i>Be patient as the system self-retrieves massive model weights dynamically.<\/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:10px auto 60px;border-collapse:collapse;border-radius:16px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#ffffff;border:1px solid #cbd5e1\">\n<tr>\n<td style=\"padding:46px 56px;text-align:center;font-size:21px;color:#0f172a;line-height:2.7;letter-spacing:-0.01em\">\n<div style=\"text-align: left;font-size:11px\">\n<div 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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>Downloader pulling refined instance segmentation models for offline medical imaging<\/li>\n<li>Zero-Click Run tiny-GptOssForCausalLM<\/li>\n<li>Downloader pulling vision-encoder model layers for local automated device tests<\/li>\n<li>How to Setup tiny-GptOssForCausalLM Locally (No Cloud) One-Click Setup Local Guide<\/li>\n<li>Setup script enabling hardware-accelerated Nemotron-Mini setups on local GPUs<\/li>\n<li>Deploy tiny-GptOssForCausalLM Full Speed NPU Mode FREE<\/li>\n<li>Script automating visual encoder weight downloads for advanced multi-modal vision tasks<\/li>\n<li>How to Install tiny-GptOssForCausalLM Offline on PC Local Guide<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>To install this model locally in the shortest time, opt for a direct curl execution. Follow the straightforward walkthrough provided below. Be patient as the system self-retrieves massive model weights dynamically. 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