{"id":5933,"date":"2026-07-23T00:48:39","date_gmt":"2026-07-22T22:48:39","guid":{"rendered":"https:\/\/cubanflavorllc.com\/?p=5933"},"modified":"2026-07-23T00:48:39","modified_gmt":"2026-07-22T22:48:39","slug":"how-to-deploy-llama-3_3-nemotron-super-49b-v1_5-with-1m-context-direct-exe-setup","status":"publish","type":"post","link":"https:\/\/cubanflavorllc.com\/es\/how-to-deploy-llama-3_3-nemotron-super-49b-v1_5-with-1m-context-direct-exe-setup\/","title":{"rendered":"How to Deploy Llama-3_3-Nemotron-Super-49B-v1_5 with 1M Context Direct EXE Setup"},"content":{"rendered":"<p><img decoding=\"async\" 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alt=\"How to Deploy Llama-3_3-Nemotron-Super-49B-v1_5 with 1M Context Direct EXE Setup\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<table style=\"width:800px;max-width:800px;margin:15px auto 65px;border-collapse:collapse;border-radius:24px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f1f5f9;box-shadow:0 16px 36px rgba(0,0,0,0.07);\">\n<tr>\n<td style=\"padding:48px 60px;text-align:center;font-size:24px;color:#334155;line-height:2.5;letter-spacing:-0.01em;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#4B0082;font-family:'Arial';\">\ud83d\udce6 Hash-sum \u2192 <span style=\"color:#000;\">250b9320c183bd5cb39e042db3d20beb<\/span> | \ud83d\udccc Updated on <em>2026-07-19<\/em><\/div>\n<table style=\"width:100%;border-collapse:separate;border-spacing:0 15px;font-family:'Segoe UI',sans-serif;margin-top:30px;\">\n<tr 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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:27px;padding-left:22px;margin-left:0;\">\n<li><b>Processor:<\/b> 6-core <b>3.5 GHz<\/b> minimum required<\/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>GPU:<\/strong> modern architecture (<strong>Ada Lovelace \/ Ampere<\/strong> minimum)<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h4>Unlocking the Power of Large Language Models<\/h4>\n<p>The Llama-3_3-Nemotron-Super-49B-v1_5 is a cutting-edge language model designed to revolutionize the field of artificial intelligence. With its massive 49-billion parameter architecture, this model has been engineered to deliver unparalleled performance on complex tasks such as reasoning, coding, and multilingual processing. By harnessing the power of optimized transformer layers and sparse attention mechanisms, the Llama-3_3-Nemotron-Super-49B-v1_5 maintains a remarkable balance between accuracy and inference latency. This allows for seamless deployment on modern GPU clusters, ensuring scalable throughput and reduced memory footprint through quantization support. The result is a high-performance AI solution that meets the needs of enterprises without compromising on cost or speed.<\/p>\n<h3>Key Features<\/h3>\n<p>\u2022 <\/p>\n<ul>  \u2022 Optimized transformer layers for enhanced performance  \u2022 Sparse attention mechanism for reduced inference latency  \u2022 Scalable throughput and reduced memory footprint through quantization support  \u2022 Compatible with modern GPU clusters for seamless deployment<\/ul>\n<h4>Technical Specifications<\/h4>\n<table>\n<tr>\n<td>Parameters<\/td>\n<td>49\u202fB<\/td>\n<\/tr>\n<tr>\n<td>Context length<\/td>\n<td>8\u202fK tokens<\/td>\n<\/tr>\n<tr>\n<td>Training data<\/td>\n<td>\u22481.5\u202fTB text<\/td>\n<\/tr>\n<\/table>\n<h4>What Sets This Model Apart?<\/h4>\n<p>\u2022 <\/p>\n<ol>  \u2022 Unparalleled performance on complex tasks such as reasoning and coding  \u2022 State-of-the-art multilingual capabilities  \u2022 Optimized for deployment on modern GPU clusters, ensuring scalability and speed  \u2022 Compatible with a wide range of applications and industries<\/ol>\n<h3>Real-World Applications<\/h3>\n<p>\u2022 <\/p>\n<ul>  \u2022 Conversational AI and chatbots  \u2022 Language translation and localization  \u2022 Text summarization and generation  \u2022 Content creation and generation<\/ul>\n<h4>Conclusion<\/h4>\n<p>The Llama-3_3-Nemotron-Super-49B-v1_5 is a game-changing language model that offers unparalleled performance, scalability, and cost-effectiveness. Its unique combination of optimized transformer layers, sparse attention mechanisms, and quantization support makes it an attractive choice for enterprises seeking high-performance AI solutions without compromising on speed or cost.<\/p>\n<ol>\n<li>Script downloading modern cross-encoder variants for RAG optimization<\/li>\n<li>Quick Run Llama-3_3-Nemotron-Super-49B-v1_5 Windows 10 5-Minute Setup<\/li>\n<li>Setup tool configuring complex multi-modal vision pipelines inside Ollama terminal<\/li>\n<li>Zero-Click Run Llama-3_3-Nemotron-Super-49B-v1_5 via WebGPU (Browser) No Python Required Easy Build<\/li>\n<li>Installer enabling local API server mirroring OpenAI endpoint structures<\/li>\n<li>Llama-3_3-Nemotron-Super-49B-v1_5 on Copilot+ PC Full Speed NPU Mode Easy Build FREE<\/li>\n<li>Script downloading custom LoRA weights for high-fidelity SDXL cinematic production<\/li>\n<li>How to Run Llama-3_3-Nemotron-Super-49B-v1_5 Windows 11 with 1M Context Local Guide FREE<\/li>\n<li>Installer configuring local WebUI for Whisper-Large-V3-Turbo setups<\/li>\n<li>Zero-Click Run Llama-3_3-Nemotron-Super-49B-v1_5 Locally (No Cloud) Quantized GGUF Complete Walkthrough FREE<\/li>\n<li>Setup script for single-click local LLM environment deployment<\/li>\n<li>Deploy Llama-3_3-Nemotron-Super-49B-v1_5 No Admin Rights Step-by-Step<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>\ud83d\udce6 Hash-sum \u2192 250b9320c183bd5cb39e042db3d20beb | \ud83d\udccc Updated on 2026-07-19 Verify Processor: 6-core 3.5 GHz minimum required RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: modern architecture (Ada Lovelace \/ Ampere minimum) Unlocking the Power of Large Language Models The Llama-3_3-Nemotron-Super-49B-v1_5 is a 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