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alt=\"Zero-Click Run llama-nemotron-embed-1b-v2 Offline on PC No Python Required Offline Setup\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>Running this model locally is <i>fastest<\/i> when deployed through a <b>PowerShell script<\/b>.<\/p>\n<p>Check out the <b>detailed setup guide<\/b> below to begin.<\/p>\n<p> <\/p>\n<p><i>The client handles the setup, pulling gigabytes of data automatically.<\/i><\/p>\n<p> <\/p>\n<p>To save you time, the system will <b>automatically determine efficient resource allocation<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:10px auto 60px;border-collapse:collapse;border-radius:22px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f8fafc;box-shadow:0 24px 48px rgba(0,0,0,0.1);border:1px solid #e2e8f0;\">\n<tr>\n<td style=\"padding:50px 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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:26px;padding-left:21px;margin-left:0;\">\n<li><strong>Processor:<\/strong> high <strong>single-core<\/strong> performance needed for token latency<\/li>\n<li><strong>RAM:<\/strong> 32 GB <strong>highly recommended<\/strong> for 26B+ GGUF models<\/li>\n<li><b>Disk Space:<\/b> 100 GB for multi-modal model vision components<\/li>\n<li><b>Graphic Processor:<\/b> RTX 3060 or RX 6600 <b>for minimum 8B VRAM offloading<\/b><\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h3>The Llama-Nemotron-Embed-1B-v2: A Compact yet Powerful Embedding Model<\/h3>\n<p>The Llama-Nemotron-Embed-1B-v2 is a groundbreaking embedding model that builds upon the proven Llama architecture, focusing on efficient text representation while delivering exceptional performance. By streamlining its parameters and leveraging the latest advancements in natural language processing, this model has emerged as a game-changer for edge devices and low-resource environments.With an astonishing *state-of-the-art* performance on semantic similarity tasks, despite its modest parameter count of 1 B, the Llama-Nemotron-Embed-1B-v2 has set a new standard for efficiency. Its ability to produce high-quality embeddings while balancing granularity with computational efficiency makes it an attractive option for applications where resources are limited.One of the key strengths of this model is its versatility, which can be attributed to its extensive training on a diverse web-scale corpus. This enables robust understanding of multiple languages and domains without compromising inference speed.<\/p>\n<h4>Key Statistics<\/h4>\n<p>\u2022 Parameters: 1 B\u2022 Embedding Dimension: 768\u2022 Context Length: 2048 tokens\u2022 Training Data: Web-scale corpus\u2022 Model Size (approx.): 2 GB<\/p>\n<h3>Comparison with Similar Models<\/h3>\n<table>\n<tr>\n<td><b>Model<\/b><\/td>\n<td><b>Parameter Efficiency<\/b><\/td>\n<td><b>Embedding Quality<\/b><\/td>\n<\/tr>\n<tr>\n<td>Google BERT<\/td>\n<td>Lower<\/td>\n<td>Higher<\/td>\n<\/tr>\n<tr>\n<td>Mixed-Use Embeddings<\/td>\n<td>Moderate<\/td>\n<td>Lower<\/td>\n<\/tr>\n<tr>\n<td>Transformers-XL<\/td>\n<td>Highest<\/td>\n<td>Cosmic Lower<\/td>\n<\/tr>\n<\/table>\n<h4>Real-World Applications<\/h4>\n<p>*   Edge devices*   Low-resource environments*   Natural Language Processing (NLP)*   Text analysis and understandingThis cutting-edge model is poised to revolutionize the way we approach text representation and analysis, enabling unparalleled performance in a variety of applications.<\/p>\n<ol>\n<li>Setup tool adjusting host operating system paging variables for large model weights<\/li>\n<li>How to Setup llama-nemotron-embed-1b-v2<\/li>\n<li>Installer deploying localized prompt engineering frameworks with templates<\/li>\n<li>Zero-Click Run llama-nemotron-embed-1b-v2 Locally via LM Studio Uncensored Edition No-Code Guide<\/li>\n<li>Script downloading custom tokenizers tailored for specialized domain models<\/li>\n<li>Launch llama-nemotron-embed-1b-v2 on Your PC<\/li>\n<li>Installer configuring text-to-image stable diffusion checkpoint folders<\/li>\n<li>Run llama-nemotron-embed-1b-v2 via WebGPU (Browser) Local Guide FREE<\/li>\n<li>Installer configuring privateGPT setups using advanced multi-backend tensor parallelism<\/li>\n<li>llama-nemotron-embed-1b-v2 Using Pinokio No-Internet Version FREE<\/li>\n<li>Script downloading user-trained voice checkpoints for tortoise-tts local servers<\/li>\n<li>Install llama-nemotron-embed-1b-v2 Full Speed NPU Mode Easy Build<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Running this model locally is fastest when deployed through a PowerShell script. 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