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alt=\"Qwen3-VL-2B-Instruct-GGUF with Native FP4 Dummy Proof Guide\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<table style=\"width:800px;max-width:800px;margin:5px auto 55px;border-collapse:collapse;border-radius:26px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f8fafc;box-shadow:0 28px 56px rgba(0,0,0,0.12);border:1px solid rgba(0,0,0,0.05);\">\n<tr>\n<td style=\"padding:52px 70px;text-align:center;font-size:28px;color:#0f172a;line-height:3;letter-spacing:-0.02em;font-weight:500;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#424242;font-family:'JetBrains Mono';\">\ud83d\udce4 Release Hash: <span style=\"color:#000;\">b9e2365ea041e7ea7c7637c3ffd41939<\/span> \u2022 \ud83d\udcc5 Date: <span>2026-07-19<\/span><\/div>\n<table style=\"width:100%;border-collapse:separate;border-spacing:0 15px;font-family:'Segoe 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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:28px;padding-left:23px;margin-left:0;\">\n<li><strong>Processor:<\/strong> next-gen chip for <strong>heavy context<\/strong> processing<\/li>\n<li><strong>RAM:<\/strong> fast <strong>5600MHz+<\/strong> required to avoid memory bottlenecks<\/li>\n<li><b>Disk Space:<\/b> required: fast <b>PCIe 4.0<\/b> drive for instant boots<\/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>The Revolutionary Qwen3-VL-2B-Instruct-GGUF Model<\/h4>\n<p>The Qwen3-VL-2B-Instruct-GGUF model is a game-changer in the field of artificial intelligence, boasting an unparalleled combination of features that set it apart from its competitors. By integrating a 2-billion parameter language core with vision capabilities, this model delivers unparalleled multimodal reasoning capabilities. Its innovative use of quantized GGUF format enables efficient inference on consumer hardware while preserving high fidelity in both text and image understanding. This architecture supports a context window of up to 8K tokens, allowing for detailed analysis of long documents and complex visual scenes. The fine-tuned model has excelled at following natural-language commands and generating coherent visual descriptions, making it an invaluable asset for developers seeking balanced capability and low resource consumption.<\/p>\n<h4>Specifications and Performance Benchmarks<\/h4>\n<table>\n<tr>\n<th specifications<\/th>\n<th>Description<\/th>\n<\/tr>\n<tr>\n<td>Parameter Count<\/td>\n<td>2 Billion<\/td>\n<\/tr>\n<tr>\n<td>Context Window Size<\/td>\n<td>8K Tokens<\/td>\n<\/tr>\n<tr>\n<td>Quantization Method<\/td>\n<td>GGUF Format<\/td>\n<\/tr>\n<tr>\n<td>Supported Modalities<\/td>\n<td>Text and Image<\/td>\n<\/tr>\n<tr>\n<td>Training Data Type<\/td>\n<td>Instruct-Type Datasets<\/td>\n<\/tr>\n<\/table>\n<h4>Key Features and Advantages<\/h4>\n<p>\u2022 Multimodal reasoning capabilities for enhanced understanding of complex data\u2022 Efficient inference on consumer hardware using quantized GGUF format\u2022 Support for both text and image modalities, enabling comprehensive analysis\u2022 Fine-tuned on a diverse instructional dataset for optimal performance<\/p>\n<h4>Why Choose the Qwen3-VL-2B-Instruct-GGUF Model?<\/h4>\n<p>\u2022 Balanced capability and low resource consumption make it an attractive option for developers\u2022 Competitive results against larger models demonstrate its potential in real-world applications\u2022 Flexible and adaptable architecture allows for seamless integration with existing systems<\/p>\n<h4>Conclusion<\/h4>\n<p>The Qwen3-VL-2B-Instruct-GGUF model is a powerful tool for developers seeking to unlock the full potential of multimodal reasoning. With its unique combination of features and specifications, it offers unparalleled capabilities and flexibility, making it an indispensable asset in today's rapidly evolving AI landscape.<\/p>\n<h4>Additional Information<\/h4>\n<p>\u2022 For more information on the Qwen3-VL-2B-Instruct-GGUF model, please visit our website or contact our support team.\u2022 To learn more about our training data and development process, check out our blog or social media channels.<\/p>\n<ul>\n<li>Installer configuring secure multi-level authentication profiles for shared local node execution clusters<\/li>\n<li>Quick Run Qwen3-VL-2B-Instruct-GGUF No Python Required Windows<\/li>\n<li>Script downloading visual document layout analytical models for local OCR parsing<\/li>\n<li>Deploy Qwen3-VL-2B-Instruct-GGUF Locally via LM Studio No Admin Rights Full Method<\/li>\n<li>Installer configuring localized autogen multi-agent spaces with internal model processing calculation pipelines<\/li>\n<li>Run Qwen3-VL-2B-Instruct-GGUF via WebGPU (Browser) with 1M Context Direct EXE Setup Windows FREE<\/li>\n<li>Setup utility auto-detecting AMD ROCm device structures for Linux AI processing stations<\/li>\n<li>How to Autostart Qwen3-VL-2B-Instruct-GGUF Offline on PC No Admin Rights FREE<\/li>\n<li>Installer configuring secure multi-user access to local LLM APIs<\/li>\n<li>Launch Qwen3-VL-2B-Instruct-GGUF on Copilot+ PC Offline Setup<\/li>\n<li>Installer configuring localized autogen multi-agent spaces with internal model processing pipelines<\/li>\n<li>Run Qwen3-VL-2B-Instruct-GGUF via WebGPU (Browser) For Low VRAM (6GB\/8GB) FREE<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>\ud83d\udce4 Release Hash: b9e2365ea041e7ea7c7637c3ffd41939 \u2022 \ud83d\udcc5 Date: 2026-07-19 Verify Processor: next-gen chip for heavy context processing RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: required: fast PCIe 4.0 drive for instant boots Graphics: 12 GB VRAM minimum required for basic quantization The Revolutionary Qwen3-VL-2B-Instruct-GGUF Model The Qwen3-VL-2B-Instruct-GGUF model is a game-changer in the [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[100],"tags":[],"class_list":["post-4482","post","type-post","status-publish","format-standard","hentry","category-offloaders"],"_links":{"self":[{"href":"https:\/\/radar-fillingmachine.com\/de\/wp-json\/wp\/v2\/posts\/4482","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/radar-fillingmachine.com\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/radar-fillingmachine.com\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/radar-fillingmachine.com\/de\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/radar-fillingmachine.com\/de\/wp-json\/wp\/v2\/comments?post=4482"}],"version-history":[{"count":1,"href":"https:\/\/radar-fillingmachine.com\/de\/wp-json\/wp\/v2\/posts\/4482\/revisions"}],"predecessor-version":[{"id":4483,"href":"https:\/\/radar-fillingmachine.com\/de\/wp-json\/wp\/v2\/posts\/4482\/revisions\/4483"}],"wp:attachment":[{"href":"https:\/\/radar-fillingmachine.com\/de\/wp-json\/wp\/v2\/media?parent=4482"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/radar-fillingmachine.com\/de\/wp-json\/wp\/v2\/categories?post=4482"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/radar-fillingmachine.com\/de\/wp-json\/wp\/v2\/tags?post=4482"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}