{"id":19094,"date":"2026-07-15T00:28:53","date_gmt":"2026-07-14T16:28:53","guid":{"rendered":"https:\/\/ygmb.com.my\/?p=19094"},"modified":"2026-07-15T00:28:53","modified_gmt":"2026-07-14T16:28:53","slug":"how-to-run-qwen3-5-122b-a10b-using-pinokio-one-click-setup-dummy-proof-guide-windows","status":"publish","type":"post","link":"https:\/\/ygmb.com.my\/?p=19094","title":{"rendered":"How to Run Qwen3.5-122B-A10B Using Pinokio One-Click Setup Dummy Proof Guide Windows"},"content":{"rendered":"<p><img decoding=\"async\" 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\" alt=\"How to Run Qwen3.5-122B-A10B Using Pinokio One-Click Setup Dummy Proof Guide Windows\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>For an <i>instant local deployment<\/i>, running a pre-configured <b>shell script<\/b> is ideal.<\/p>\n<p>Just follow the <b>guidelines<\/b> provided below.<\/p>\n<p> <\/p>\n<p><i>An automated background process downloads all required large-scale files.<\/i><\/p>\n<p> <\/p>\n<p>During setup, the script automatically determines and <b>applies the best settings<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:0 auto 50px;border-collapse:collapse;border-radius:16px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#ffffff;box-shadow:0 10px 30px rgba(0,0,0,0.06);border:1px solid rgba(0,0,0,0.03);\">\n<tr>\n<td style=\"padding:40px 50px;text-align:center;font-size:18px;color:#2d3748;line-height:1.8;letter-spacing:-0.01em;\">\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:22px;padding-left:17px;margin-left:0;\">\n<li><strong>CPU:<\/strong> 8-core \/ 16-thread <strong>recommended for orchestration<\/strong><\/li>\n<li><strong>RAM:<\/strong> 32 GB or higher for <strong>smooth 32k context<\/strong> lengths<\/li>\n<li><b>Disk Space:<\/b> 100 GB for multi-modal model vision components<\/li>\n<li><b>Graphic Processor:<\/b> RTX 3060 or RX 6600 <b>for minimum 8B VRAM offloading<\/b><\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h4>Unlocking the Power of Qwen3.5-122B-A10B: A State-of-the-Art Language Model<\/h4>\n<p>Qwen3.5-122B-A10B is a cutting-edge language model that has revolutionized the field of natural language processing (NLP). With its impressive 122 billion parameters and innovative A10B architecture, this model has achieved unprecedented performance in various NLP tasks. The key to its success lies in its massive web-scale training corpus, which provides unparalleled contextual understanding and fluency in generation. This remarkable model has garnered top spot in benchmark evaluations, delivering record-breaking scores in reasoning, comprehension, and code synthesis.<\/p>\n<h3>Customizing Qwen3.5-122B-A10B for Specialized Domains<\/h3>\n<p>To unlock the full potential of this model, developers can fine-tune it to suit specific domains using ongoing initiatives. This allows users to customize the model while preserving its core capabilities, ensuring seamless integration into various applications and workflows.<\/p>\n<ul>\n<li>Advanced attention mechanisms enable deep contextual understanding.<\/li>\n<li>Multi-layer decoder stacks facilitate fluent generation.<\/li>\n<li>Web-scale training corpus provides unparalleled performance across a wide range of NLP tasks.<\/li>\n<\/ul>\n<table>\n<tr>\n<th>Key Feature<\/th>\n<th>Description<\/th>\n<\/tr>\n<tr>\n<td>Advanced Attention Mechanisms<\/td>\n<td>Enable deep contextual understanding and improve performance in various NLP tasks.<\/td>\n<\/tr>\n<tr>\n<td>Multi-Layer Decoder Stacks<\/td>\n<td>Facilitate fluent generation and improve the model&#8217;s ability to produce coherent outputs.<\/td>\n<\/tr>\n<tr>\n<td>Web-Scale Training Corpus<\/td>\n<td>Provides unparalleled performance across a wide range of NLP tasks, including reasoning, comprehension, and code synthesis.<\/td>\n<\/tr>\n<\/table>\n<h3>Technical Specifications: Qwen3.5-122B-A10B Model<\/h3>\n<table>\n<tr>\n<th>Parameter<\/th>\n<th>Value<\/th>\n<\/tr>\n<tr>\n<td>Model Name<\/td>\n<td>Qwen3.5-122B-A10B<\/td>\n<\/tr>\n<tr>\n<td>Parameters<\/td>\n<td>122 B<\/td>\n<\/tr>\n<tr>\n<td>Architecture<\/td>\n<td>A10B<\/td>\n<\/tr>\n<tr>\n<td>Training Data<\/td>\n<td>Web-Scale Corpus<\/td>\n<\/tr>\n<tr>\n<td>Key Features<\/td>\n<td>Advanced Attention, Multi-Layer Decoder<\/td>\n<\/tr>\n<\/table>\n<h4>Frequently Asked Questions: Qwen3.5-122B-A10B Model<\/h4>\n<p><q>What is the primary benefit of Qwen3.5-122B-A10B model?<\/q><\/p>\n<p>The primary benefit of this model lies in its exceptional performance across a wide range of NLP tasks, including reasoning, comprehension, and code synthesis.<\/p>\n<p><q>How does Qwen3.5-122B-A10B achieve its impressive performance?<\/q><\/p>\n<p>The model achieves its remarkable performance by leveraging advanced attention mechanisms, multi-layer decoder stacks, and a massive web-scale training corpus.<\/p>\n<p><q>Is Qwen3.5-122B-A10B suitable for production environments?<\/q><\/p>\n<p>Yes, the model&#8217;s efficient A10B design balances computational demands with high-quality output, making it suitable for both research and production environments.<\/p>\n<ol>\n<li>Installer deploying local bark audio generation pipelines with custom speaker tokens<\/li>\n<li>Qwen3.5-122B-A10B Using Pinokio Quantized GGUF Step-by-Step Windows<\/li>\n<li>Installer optimizing local RAM offloading for massive model files<\/li>\n<li>Launch Qwen3.5-122B-A10B Locally (No Cloud) Full Speed NPU Mode For Beginners FREE<\/li>\n<li>Installer setting up SillyTavern interface optimized for KoboldCPP 2.20+ background processing nodes<\/li>\n<li>Zero-Click Run Qwen3.5-122B-A10B Fully Jailbroken Local Guide Windows FREE<\/li>\n<li>Setup utility enabling DirectML processing pathways for modern Arc graphics hardware layouts<\/li>\n<li>How to Deploy Qwen3.5-122B-A10B<\/li>\n<\/ol>\n<p><a href='https:\/\/galleriabar.com.br\/category\/publisher\/'>https:\/\/galleriabar.com.br\/category\/publisher\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>For an instant local deployment, running a pre-configured shell script is ideal. Just follow the guidelines provided below. An automated background process downloads all required large-scale files. During setup, the script automatically determines and applies the best settings. \ud83d\uddb9 HASH-SUM: 88fac6c33317af4cf16a14b8767be1d3 | \ud83d\udcc5 Updated on: 2026-07-09 Verify CPU: 8-core \/ 16-thread recommended for orchestration RAM: [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[301],"tags":[],"class_list":["post-19094","post","type-post","status-publish","format-standard","hentry","category-chunkers"],"acf":[],"_links":{"self":[{"href":"https:\/\/ygmb.com.my\/index.php?rest_route=\/wp\/v2\/posts\/19094","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ygmb.com.my\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ygmb.com.my\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ygmb.com.my\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ygmb.com.my\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=19094"}],"version-history":[{"count":1,"href":"https:\/\/ygmb.com.my\/index.php?rest_route=\/wp\/v2\/posts\/19094\/revisions"}],"predecessor-version":[{"id":19095,"href":"https:\/\/ygmb.com.my\/index.php?rest_route=\/wp\/v2\/posts\/19094\/revisions\/19095"}],"wp:attachment":[{"href":"https:\/\/ygmb.com.my\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=19094"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ygmb.com.my\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=19094"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ygmb.com.my\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=19094"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}