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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:29px;padding-left:24px;margin-left:0;\">\n<li><b>Processor:<\/b> 4.0 GHz+ <b>boost clock<\/b> recommended for CPU inference<\/li>\n<li><b>RAM:<\/b> high-speed <b>DDR5 memory<\/b> preferred for CPU offloading<\/li>\n<li><strong>Disk:<\/strong> 150+ GB for <strong>high-context vector<\/strong> database storage<\/li>\n<li><b>Graphics:<\/b> CUDA Compute Capability 8.0+ <b>required for flash-attention<\/b><\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h4>Revolutionizing Language Processing with Qwen3.5-4B-GGUF<\/h4>\n<p>The Qwen3.5-4B-GGUF model is a cutting-edge language processing solution that delivers exceptional performance for various natural language tasks while maintaining a compact footprint. This advanced model is built upon 4B parameters and optimized for the GGUF quantization format, striking an optimal balance between speed and accuracy for both research and production environments. With its robust context window of up to 8192 tokens, Qwen3.5-4B-GGUF enables intricate reasoning and multi-step problem-solving capabilities without compromising on latency.Our benchmarks demonstrate that this model achieves competitive perplexity scores on standard benchmarks while consuming less than 5GB of GPU memory during inference. This not only enhances the overall efficiency but also streamlines the deployment process, making Qwen3.5-4B-GGUF an attractive choice for developers and researchers alike. With its seamless integration with various frameworks and tools, Qwen3.5-4B-GGUF empowers users to tackle complex language processing tasks with ease.Key Features of Qwen3.5-4B-GGUF:*   4B parameters for optimized performance*   Context window up to 8192 tokens for detailed reasoning*   GGUF quantization format for enhanced accuracy and speedPerformance Comparison with Similar Models:| Model | Parameters | Context Length | Quantization Format || &#8212; | &#8212; | &#8212; | &#8212; || Qwen3.5-4B-GGUF | 4B | 8192 tokens | GGUF |Benefits of Using Qwen3.5-4B-GGUF:*   Fast and accurate performance*   Compact footprint for efficient deployment*   Robust context window for intricate reasoning<\/p>\n<h3>Unleashing the Potential of Qwen3.5-4B-GGUF<\/h3>\n<p>With its cutting-edge technology and robust features, Qwen3.5-4B-GGUF is poised to revolutionize the field of language processing. Whether you&#8217;re a researcher or developer, this model offers unparalleled performance and efficiency. Don&#8217;t miss out on the opportunity to harness the power of Qwen3.5-4B-GGUF for your next project.<\/p>\n<ul>\n<li>Script fetching optimized Phi-4-Mini-Instruct weights for lightweight edge devices<\/li>\n<li>How to Run Qwen3.5-4B-GGUF 100% Private PC FREE<\/li>\n<li>Downloader pulling calibrated EXL2 quantizations of Llama-3.1-70B<\/li>\n<li>Qwen3.5-4B-GGUF Windows 11 Dummy Proof Guide FREE<\/li>\n<li>Script automating installation of Open-WebUI docker files with persistent paths<\/li>\n<li>How to Launch Qwen3.5-4B-GGUF with Native FP4 2026\/2027 Tutorial<\/li>\n<li>Installer deploying local real-time text-to-speech channels via ChatTTS library setups<\/li>\n<li>Setup Qwen3.5-4B-GGUF Windows 10 No-Internet Version Local Guide FREE<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>\ud83d\udcd8 Build Hash: ca94e92ec614566142f776b92d5ed2fd \u2022 \ud83d\uddd3 2026-07-14 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: high-speed DDR5 memory preferred for CPU offloading Disk: 150+ GB for high-context vector database storage Graphics: CUDA Compute Capability 8.0+ required for flash-attention Revolutionizing Language Processing with Qwen3.5-4B-GGUF The Qwen3.5-4B-GGUF model is a cutting-edge language processing solution [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[],"class_list":["post-7255","post","type-post","status-publish","format-standard","hentry","category-tokenizers"],"_links":{"self":[{"href":"https:\/\/vidyasthali.net\/index.php\/wp-json\/wp\/v2\/posts\/7255"}],"collection":[{"href":"https:\/\/vidyasthali.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/vidyasthali.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/vidyasthali.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/vidyasthali.net\/index.php\/wp-json\/wp\/v2\/comments?post=7255"}],"version-history":[{"count":1,"href":"https:\/\/vidyasthali.net\/index.php\/wp-json\/wp\/v2\/posts\/7255\/revisions"}],"predecessor-version":[{"id":7256,"href":"https:\/\/vidyasthali.net\/index.php\/wp-json\/wp\/v2\/posts\/7255\/revisions\/7256"}],"wp:attachment":[{"href":"https:\/\/vidyasthali.net\/index.php\/wp-json\/wp\/v2\/media?parent=7255"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/vidyasthali.net\/index.php\/wp-json\/wp\/v2\/categories?post=7255"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/vidyasthali.net\/index.php\/wp-json\/wp\/v2\/tags?post=7255"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}