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\" alt=\"Deploy Qwen3.5-122B-A10B For Beginners\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>The <i>fastest method<\/i> for installing this model locally is by using <b>Docker<\/b>.<\/p>\n<p>Use the <b>instructions<\/b> provided below to complete the setup.<\/p>\n<p> <\/p>\n<p><i>The engine will automatically fetch large dependencies in the background.<\/i><\/p>\n<p> <\/p>\n<p>The script runs a quick hardware check to <b>dynamically adjust parameters for elite speed<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:10px auto 60px;border-collapse:collapse;border-radius:22px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f8fafc;box-shadow:0 24px 48px rgba(0,0,0,0.1);border:1px solid #e2e8f0;\">\n<tr>\n<td style=\"padding:50px 65px;text-align:center;font-size:26px;color:#0f172a;line-height:2.8;letter-spacing:-0.02em;font-weight:500;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#2E8B57;font-family:'Georgia';\">???? 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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>Processor:<\/strong> high <strong>single-core<\/strong> performance needed for token latency<\/li>\n<li><strong>RAM:<\/strong> at least 32 GB in <strong>dual-channel mode<\/strong> for bandwidth<\/li>\n<li><strong>Disk Space:<\/strong> at least 100 GB for <strong>multiple local<\/strong> LLM variants<\/li>\n<li><b>Graphics:<\/b> stable <b>30+ tk\/s<\/b> at 4-bit quantization on medium setup<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p>Qwen3.5-122B-A10B is a <b>state\u2011of\u2011the\u2011art<\/b> language model featuring <b>122\u202fbillion<\/b> parameters and an <b>A10B<\/b> architecture. It leverages a massive <i>web\u2011scale training corpus<\/i> to achieve <b>exceptional<\/b> performance across a wide range of NLP tasks. The model incorporates advanced <b>attention mechanisms<\/b> and <i>multi\u2011layer decoder stacks<\/i> that enable deep contextual understanding and fluent generation. Benchmark evaluations place it among the top performers, delivering <b>record\u2011breaking<\/b> scores in reasoning, comprehension, and code synthesis. Its efficient <b>A10B<\/b> design balances computational demands with high\u2011quality output, making it suitable for both research and production environments. Ongoing fine\u2011tuning initiatives allow developers to customize the model for specialized domains while preserving its core capabilities.    <\/p>\n<table>\n<tr>\n<th><b>Parameter<\/b><\/th>\n<th><b>Value<\/b><\/th>\n<\/tr>\n<tr>\n<td><b>Model Name<\/b><\/td>\n<td>Qwen3.5-122B-A10B<\/td>\n<\/tr>\n<tr>\n<td><b>Parameters<\/b><\/td>\n<td>122\u202fB<\/td>\n<\/tr>\n<tr>\n<td><b>Architecture<\/b><\/td>\n<td>A10B<\/td>\n<\/tr>\n<tr>\n<td><b>Training Data<\/b><\/td>\n<td>Web\u2011scale corpus<\/td>\n<\/tr>\n<tr>\n<td><b>Key Features<\/b><\/td>\n<td>Advanced attention, multi\u2011layer decoder<\/td>\n<\/tr>\n<\/table>\n<ol>\n<li>Installer enabling embedded web UI for offline model interaction<\/li>\n<li>Qwen3.5-122B-A10B on AMD\/Nvidia GPU Offline Setup FREE<\/li>\n<li>Script downloading modern ControlNet Canny models for enhanced Forge WebUI generation image pipelines<\/li>\n<li>Install Qwen3.5-122B-A10B on Copilot+ PC Full Method<\/li>\n<li>Script downloading experimental weight array tensors for complex model recombination routines<\/li>\n<li>How to Autostart Qwen3.5-122B-A10B Offline on PC Direct EXE Setup FREE<\/li>\n<li>Script downloading specialized green-screen extraction weights for image suites<\/li>\n<li>Run Qwen3.5-122B-A10B Full Speed NPU Mode<\/li>\n<li>Downloader pulling custom upscaler models for local image post-processing<\/li>\n<li>Deploy Qwen3.5-122B-A10B Direct EXE Setup<\/li>\n<li>Downloader pulling custom textual inversion files for face-fixing<\/li>\n<li>Qwen3.5-122B-A10B Using Pinokio No Python Required 2026\/2027 Tutorial<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>The fastest method for installing this model locally is by using Docker. Use the instructions provided below to complete the setup. The engine will automatically fetch large dependencies in the background. The script runs a quick hardware check to dynamically adjust parameters for elite speed. ???? Hash code: aa5f47a938924d5dc9bb238746c2e202 \u2014 Last modification: 2026-06-27 Verify Processor: [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_oxygen_hide_in_design_set":false,"_oxygen_tags":"","footnotes":""},"categories":[37],"tags":[],"class_list":["post-982","post","type-post","status-publish","format-standard","hentry","category-gguf"],"_links":{"self":[{"href":"https:\/\/tohun.bg\/en\/wp-json\/wp\/v2\/posts\/982","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tohun.bg\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tohun.bg\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tohun.bg\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/tohun.bg\/en\/wp-json\/wp\/v2\/comments?post=982"}],"version-history":[{"count":1,"href":"https:\/\/tohun.bg\/en\/wp-json\/wp\/v2\/posts\/982\/revisions"}],"predecessor-version":[{"id":983,"href":"https:\/\/tohun.bg\/en\/wp-json\/wp\/v2\/posts\/982\/revisions\/983"}],"wp:attachment":[{"href":"https:\/\/tohun.bg\/en\/wp-json\/wp\/v2\/media?parent=982"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tohun.bg\/en\/wp-json\/wp\/v2\/categories?post=982"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tohun.bg\/en\/wp-json\/wp\/v2\/tags?post=982"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}