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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:21px;padding-left:16px;margin-left:0;\">\n<li><b>Processor:<\/b> 6-core <b>3.5 GHz<\/b> minimum required<\/li>\n<li><strong>RAM:<\/strong> fast <strong>5600MHz+<\/strong> required to avoid memory bottlenecks<\/li>\n<li><b>Disk:<\/b> high-speed SSD 120 GB to cache model layers<\/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 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<ul>\n<li>Installer deploying local internet-free web scraping tools with built-in vision parsing<\/li>\n<li>Quick Run Qwen3-VL-235B-A22B-Instruct Offline on PC No Admin Rights FREE<\/li>\n<li>Downloader pulling ultra-dense EXL2 quantizations of complex visual-language structural architectures<\/li>\n<li>Full Deployment Qwen3-VL-235B-A22B-Instruct 100% Private PC Complete Walkthrough<\/li>\n<li>Installer configuring localized web dashboards for Whisper-Large-V3 real-time voice transcription<\/li>\n<li>Install Qwen3-VL-235B-A22B-Instruct Locally via LM Studio Dummy Proof Guide<\/li>\n<li>Downloader pulling specialized textual inversion files for photographic facial fixes<\/li>\n<li>Qwen3-VL-235B-A22B-Instruct Direct EXE Setup<\/li>\n<li>Installer automating Intel OpenVINO backend setup for local PC clients<\/li>\n<li>How to Deploy Qwen3-VL-235B-A22B-Instruct on AMD\/Nvidia GPU For Low VRAM (6GB\/8GB) Offline Setup FREE<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Using a native PowerShell script is the absolute quickest way to install this model. Make sure to follow the instructions below. The setup auto-downloads all [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","footnotes":""},"categories":[24],"tags":[],"class_list":["post-998","post","type-post","status-publish","format-standard","hentry","category-templates"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"Guenot Francois","author_link":"https:\/\/toitilux.com\/index.php\/author\/toitilux\/"},"uagb_comment_info":0,"uagb_excerpt":"Using a native PowerShell script is the absolute quickest way to install this model. Make sure to follow the instructions below. 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