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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:24px;padding-left:19px;margin-left:0;\">\n<li><strong>CPU:<\/strong> multi-threading <strong>optimized<\/strong> for fast prompt processing<\/li>\n<li><b>RAM:<\/b> high-speed <b>DDR5 memory<\/b> preferred for CPU offloading<\/li>\n<li><b>Disk Space:<\/b> free: 80 GB on <b>system drive<\/b> for scratch space<\/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<h3>Unlocking the Power of Compact Language Models<\/h3>\n<p>The <b>GLM-4.5-Air-AWQ-4bit<\/b> represents a significant breakthrough in language model design, offering a harmonious balance between computational efficiency and performance. By harnessing the potency of <i>Activation-aware Quantization (AWQ)<\/i>, this model achieves remarkable inference speeds while maintaining an impressive level of accuracy. With its compact architecture, it enables seamless deployment on resource-constrained hardware, paving the way for widespread adoption in both research and production environments.<\/p>\n<h4>Technical Specifications: A Closer Look<\/h4>\n<p>\u2022 <strong>Memory Footprint Optimization:<\/strong>  \u2022 Reduced memory requirements through 4-bit quantization  \u2022 Enables deployment on consumer-grade hardware with minimal loss in accuracy\u2022 <strong>Computational Efficiency Enhancements:<\/strong>  \u2022 6 billion parameters for efficient processing of complex reasoning tasks  \u2022 8K token context window for long-form generation and contextual understanding\u2022 <strong>Inference Speed Boosters:<\/strong>  \u2022 Activation-aware Quantization (AWQ) for accelerated inference  \u2022 Compact architecture designed for optimal performance and memory usage<\/p>\n<h4>Key Benefits for Developers<\/h4>\n<p>\u2022 **Lightweight yet Versatile AI Assistant:** Ideal for developers seeking a balanced approach between model size, speed, and capability.\u2022 **Seamless Deployment:** Easily deployable on consumer-grade hardware without compromising accuracy.\u2022 **Efficient Resource Utilization:** Optimized for memory footprint, making it suitable for resource-constrained environments.<\/p>\n<h4>Technical Specifications: A Closer Look (continued)<\/h4>\n<table>\n<tr>\n<td><b>Key Features<\/b><\/td>\n<td><b>Description<\/b><\/td>\n<\/tr>\n<tr>\n<td><b>Parameters<\/b><\/td>\n<td>6 billion parameters for efficient processing of complex reasoning tasks<\/td>\n<\/tr>\n<tr>\n<td><b>Context Length<\/b><\/td>\n<td>8K tokens for long-form generation and contextual understanding<\/td>\n<\/tr>\n<tr>\n<td><b>Quantization<\/b><\/td>\n<td>AWQ 4-bit for activation-aware quantization and memory footprint optimization<\/td>\n<\/tr>\n<\/table>\n<h3>Empowering the Future of Language Models<\/h3>\n<p>The <b>GLM-4.5-Air-AWQ-4bit<\/b> represents a pivotal step forward in language model development, poised to revolutionize how we approach natural language processing and generation. With its innovative use of Activation-aware Quantization, this model offers a compelling trade-off between size, speed, and capability, making it an attractive choice for developers seeking a versatile AI assistant.<\/p>\n<ol>\n<li>Setup tool initializing prefix-caching parameters inside production-tier vLLM arrays<\/li>\n<li>Run GLM-4.5-Air-AWQ-4bit No Python Required For Beginners FREE<\/li>\n<li>Patch configuring Mistral-Large local deployment in corporate environments<\/li>\n<li>Full Deployment GLM-4.5-Air-AWQ-4bit 100% Private PC For Low VRAM (6GB\/8GB) FREE<\/li>\n<li>Downloader pulling specialized mistral-nemo variants for code repair<\/li>\n<li>GLM-4.5-Air-AWQ-4bit Windows 10 Fully Jailbroken FREE<\/li>\n<li>Setup tool initializing prefix-caching parameters inside production-tier vLLM system computing rigs<\/li>\n<li>How to Setup GLM-4.5-Air-AWQ-4bit Windows 10 FREE<\/li>\n<li>Script downloading experimental weight array tensors for complex model recombination<\/li>\n<li>Quick Run GLM-4.5-Air-AWQ-4bit Locally via LM Studio For Low VRAM (6GB\/8GB) Complete Walkthrough<\/li>\n<li>Script fetching optimized Phi-4-Mini-Instruct weights for low-power edge arrays<\/li>\n<li>How to Install GLM-4.5-Air-AWQ-4bit Using Pinokio Zero Config FREE<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Setting up this model locally is incredibly fast if you use the native CMD prompt. Refer to the instructions below to proceed. The script takes care of fetching the multi-gigabyte model weights. The configuration wizard runs silently to set up the model for peak performance. \ud83d\udce1 Hash Check: 9c49b594d60a598a97897a3fa7ae92bd | \ud83d\udcc5 Last Update: 2026-07-11 Verify [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[161],"tags":[],"class_list":["post-3927","post","type-post","status-publish","format-standard","hentry","category-hubs"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/bdsylwear.com\/bn\/wp-json\/wp\/v2\/posts\/3927","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bdsylwear.com\/bn\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bdsylwear.com\/bn\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bdsylwear.com\/bn\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bdsylwear.com\/bn\/wp-json\/wp\/v2\/comments?post=3927"}],"version-history":[{"count":1,"href":"https:\/\/bdsylwear.com\/bn\/wp-json\/wp\/v2\/posts\/3927\/revisions"}],"predecessor-version":[{"id":3928,"href":"https:\/\/bdsylwear.com\/bn\/wp-json\/wp\/v2\/posts\/3927\/revisions\/3928"}],"wp:attachment":[{"href":"https:\/\/bdsylwear.com\/bn\/wp-json\/wp\/v2\/media?parent=3927"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bdsylwear.com\/bn\/wp-json\/wp\/v2\/categories?post=3927"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bdsylwear.com\/bn\/wp-json\/wp\/v2\/tags?post=3927"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}