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alt=\"Setup Qwen3.5-9B-GGUF Locally via LM Studio For Beginners Windows\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<table style=\"width:800px;max-width:800px;margin:15px auto 65px;border-collapse:collapse;border-radius:24px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f1f5f9;box-shadow:0 16px 36px rgba(0,0,0,0.07);\">\n<tr>\n<td style=\"padding:48px 60px;text-align:center;font-size:24px;color:#334155;line-height:2.5;letter-spacing:-0.01em;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#3B3B3B;font-family:'Menlo';\">\ud83d\uddc2 Hash: <code>905fbf14e9bdf9e5218460a55be81e5f<\/code> \u2022 <small>Last Updated:<\/small> 2026-07-15<\/div>\n<table style=\"width:100%;border-collapse:separate;border-spacing:0 15px;font-family:'Segoe UI',sans-serif;margin-top:30px;\">\n<tr style=\"background-color:#f9f9f9;border-radius:8px;box-shadow:0 2px 5px 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\/><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:23px;padding-left:20px;margin-left:0;\">\n<li><strong>CPU:<\/strong> 8-core \/ 16-thread <strong>recommended for orchestration<\/strong><\/li>\n<li><strong>RAM:<\/strong> 32 GB or higher for <strong>smooth 32k context<\/strong> lengths<\/li>\n<li><strong>Storage:<\/strong><b>100 GB<\/b> free space for HuggingFace cache folder<\/li>\n<li><b>Graphics:<\/b> TensorRT-LLM \/ vLLM <b>inference engine<\/b> compatible chip<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h4>The Dawn of Qwen3.5-9B-GGUF: Unveiling a New Era in Open-Source Language Models<\/h4>\n<p>The Qwen3.5-9B-GGUF model marks a significant milestone in the realm of open-source language models, presenting a harmonious balance between performance and efficiency for both research and commercial applications. This breakthrough is the result of leveraging the Qwen3.5 architecture, which harnesses the power of grouped-query attention and rotary positional embeddings to achieve faster inference while maintaining high accuracy on benchmarks.With 9 billion parameters condensed into the GGUF format, this model reduces memory footprint, enabling deployment on consumer-grade hardware without compromising response quality. The integration of the GGUF format further simplifies deployment across diverse platforms, making advanced AI capabilities more accessible to a broader community.<\/p>\n<h4>Technical Breakdown<\/h4>\n<p>1. <\/p>\n<ul>\n<li>Context Length**: Up to 8K tokens, allowing for longer dialogues and complex reasoning tasks with minimal truncation.<\/li>\n<li>Training Tokens**: 2 trillion, ensuring comprehensive training data for optimal performance.<\/li>\n<li>Benchmark (MMLU)**: 84.3%, demonstrating exceptional accuracy on challenging benchmarks.<\/li>\n<\/ul>\n<h4>Qwen3.5-9B-GGUF Model Specifications<\/h4>\n<p>| <center>Parameter<\/center> | <center>Value<\/center> || &#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;- | &#8212;&#8212;&#8212;&#8212;&#8212; || <b>Context Length<\/b>        | 8K tokens       || <b>Training Tokens<\/b>      | 2 trillion      || <b>Benchmark (MMLU)<\/b>     | 84.3%          |<\/p>\n<h4>Innovative Features and Advantages<\/h4>\n<p>* Enhanced performance with grouped-query attention and rotary positional embeddings* Reduced memory footprint for deployment on consumer-grade hardware* Simplified integration with the GGUF format for diverse platform deployment* Accessibility to advanced AI capabilities across various platforms<\/p>\n<h4>Conclusion<\/h4>\n<p>The Qwen3.5-9B-GGUF model represents a groundbreaking achievement in open-source language models, bridging performance and efficiency for both research and commercial applications. Its innovative features and reduced memory footprint make it an attractive option for deployment on consumer-grade hardware, further expanding the reach of advanced AI capabilities to a broader community.<\/p>\n<ol>\n<li>Installer deploying local AI studio with automated DeepSeek-V3 multi-endpoint loops<\/li>\n<li>Launch Qwen3.5-9B-GGUF Locally via Ollama 2 Easy Build FREE<\/li>\n<li>Downloader pulling compact 2-bit quantization variants for rapid text prototyping<\/li>\n<li>How to Launch Qwen3.5-9B-GGUF PC with NPU 5-Minute Setup<\/li>\n<li>Installer configuring secure multi-level authentication profiles for shared local nodes<\/li>\n<li>How to Setup Qwen3.5-9B-GGUF No-Internet Version<\/li>\n<\/ol>\n<p><a href='https:\/\/tech-sparkbd.com\/category\/macros\/'>https:\/\/tech-sparkbd.com\/category\/macros\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ud83d\uddc2 Hash: 905fbf14e9bdf9e5218460a55be81e5f \u2022 Last Updated: 2026-07-15 Verify CPU: 8-core \/ 16-thread 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Verify CPU: 8-core \/ 16-thread recommended for orchestration RAM: 32 GB or higher for smooth 32k context lengths Storage:100 GB free space for HuggingFace cache folder Graphics: TensorRT-LLM \/ vLLM inference engine compatible chip The Dawn of Qwen3.5-9B-GGUF: Unveiling a New Era in Open-Source Language Models The 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