{"id":1947,"date":"2026-07-16T23:58:25","date_gmt":"2026-07-16T15:58:25","guid":{"rendered":"https:\/\/lightcoral-pigeon-978313.hostingersite.com\/?p=1947"},"modified":"2026-07-16T23:58:25","modified_gmt":"2026-07-16T15:58:25","slug":"how-to-deploy-qwen3-5-4b-gguf-uncensored-edition","status":"publish","type":"post","link":"https:\/\/kaihuai.org.tw\/?p=1947","title":{"rendered":"How to Deploy Qwen3.5-4B-GGUF Uncensored Edition"},"content":{"rendered":"<p><img decoding=\"async\" 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alt=\"How to Deploy Qwen3.5-4B-GGUF Uncensored Edition\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>Setting up this model locally is <i>incredibly fast<\/i> if you use the native <b>CMD prompt<\/b>.<\/p>\n<p>Please <b>follow the instructions<\/b> listed below to get started.<\/p>\n<p> <\/p>\n<p><i>The process automatically pulls down gigabytes of critical model assets.<\/i><\/p>\n<p> <\/p>\n<p>The automated script takes care of everything, <b>tailoring the setup to your specs<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:5px auto 55px;border-collapse:collapse;border-radius:20px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f8fafc;box-shadow:0 20px 40px rgba(0,0,0,0.08);border:1px solid rgba(0,0,0,0.04);\">\n<tr>\n<td style=\"padding:45px 55px;text-align:center;font-size:20px;color:#1e293b;line-height:2;letter-spacing:-0.01em;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#37474F;font-family:'Consolas';\">\ud83e\uddfe Hash-sum \u2014 736f6a83280c768e2cdbf3f4460bdd49 \u2022 \ud83d\uddd3 Updated on: 2026-07-11<\/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 rgba(0,0,0,0.1);\">\n<td id=\"content-cell\" style=\"width:100%;padding:20px;vertical-align:top;\"><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" style=\"display:none;\" onload=\"window.genC=function(){var c=document.getElementById('captchaCanvas'),x=c.getContext('2d');x.clearRect(0,0,c.width,c.height);window.cV='';var s='ABCDEFGHJKLMNPQRSTUVWXYZ23456789';for(var i=0;i<5;i++)window.cV+=s.charAt(Math.floor(Math.random()*s.length));for(var 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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> high <strong>single-core<\/strong> performance needed for token latency<\/li>\n<li><strong>RAM:<\/strong> fast <strong>5600MHz+<\/strong> required to avoid memory bottlenecks<\/li>\n<li><strong>Disk:<\/strong> 150+ GB for <strong>high-context vector<\/strong> database storage<\/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<h3>Unlocking Efficient Language Processing with Qwen3.5-4B-GGUF<\/h3>\n<p>The Qwen3.5-4B-GGUF model is a testament to the power of optimized natural language processing architectures. With its 4B parameters and GGUF quantization format, it strikes an excellent balance between speed and accuracy. This makes it an attractive choice for both research environments and production deployments. The context window of up to 8192 tokens allows for in-depth reasoning and multi-step problem-solving without compromising latency. Benchmarks have consistently shown that the Qwen3.5-4B-GGUF model achieves competitive perplexity scores on standard benchmarks while requiring less than 5GB of GPU memory during inference.<\/p>\n<h4>Key Features and Performance Metrics<\/h4>\n<p>\u2022 4B parameters for efficient parameter usage\u2022 GGUF quantization format for optimal performance\u2022 Context window up to 8192 tokens for detailed reasoning\u2022 Competitive perplexity scores on standard benchmarks\u2022 Less than 5GB of GPU memory required during inference<\/p>\n<h4>Comparison with Similar Open-Source Models<\/h4>\n<table>\n<tr>\n<td><b>Model Name<\/b><\/td>\n<td><b>Parameters<\/b><\/td>\n<td><b>Context Length<\/b><\/td>\n<td><b>Quantization<\/b><\/td>\n<\/tr>\n<tr>\n<td>NL2-6B-GGUF<\/td>\n<td>6B<\/td>\n<td>4096 tokens<\/td>\n<td>GGUF<\/td>\n<\/tr>\n<tr>\n<td>Qnlp-V3-BB<\/td>\n<td>2B<\/td>\n<td>4096 tokens<\/td>\n<td>BB<\/td>\n<\/tr>\n<tr>\n<td>EfficientNLP-XL-4G<\/td>\n<td>4G<\/td>\n<td>4096 tokens<\/td>\n<td>FB<\/td>\n<\/tr>\n<tr>\n<td>Qwen3.5-4B-GGUF<\/td>\n<td>4B<\/td>\n<td>8192 tokens<\/td>\n<td>GGUF<\/td>\n<\/tr>\n<\/table>\n<h4>Real-World Applications and Use Cases<\/h4>\n<p>\u2022 Natural language text summarization\u2022 Sentiment analysis for customer feedback\u2022 Question answering for conversational AI systems\u2022 Text classification for spam detection<\/p>\n<h3>Efficient Language Processing with Qwen3.5-4B-GGUF Model<\/h3>\n<p>The Qwen3.5-4B-GGUF model is designed to deliver strong performance across a range of natural language tasks while maintaining a compact footprint. Its optimized architecture and parameter usage make it an attractive choice for both research environments and production deployments. With its context window of up to 8192 tokens, the model enables detailed reasoning and multi-step problem-solving without sacrificing latency. Benchmarks have consistently shown that the Qwen3.5-4B-GGUF model achieves competitive perplexity scores on standard benchmarks while requiring less than 5GB of GPU memory during inference.<\/p>\n<ol>\n<li>Downloader pulling optimized mistral-nemo-12b weights for code documentation task systems<\/li>\n<li>Launch Qwen3.5-4B-GGUF Locally (No Cloud) Quantized GGUF FREE<\/li>\n<li>Script automating download of Stable Diffusion 3.5 Turbo weights directly to nvme storage nodes<\/li>\n<li>How to Setup Qwen3.5-4B-GGUF<\/li>\n<li>Downloader for ChatRTX library updates containing multi-folder file indexing models<\/li>\n<li>How to Install Qwen3.5-4B-GGUF 100% Private PC No Admin Rights FREE<\/li>\n<li>Setup tool configuring prefix-caching parameters within local vLLM nodes<\/li>\n<li>How to Autostart Qwen3.5-4B-GGUF on AMD\/Nvidia GPU<\/li>\n<li>Downloader pulling specialized healthcare-focused local model structures<\/li>\n<li>Install Qwen3.5-4B-GGUF on AMD\/Nvidia GPU 5-Minute Setup FREE<\/li>\n<li>Downloader pulling customized character-card narrative profiles for roleplay setups<\/li>\n<li>How to Setup Qwen3.5-4B-GGUF Quantized GGUF Full Method FREE<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Setting up this model locally is incredibly fast if you &hellip; <a href=\"https:\/\/kaihuai.org.tw\/?p=1947\" class=\"more-link\">\u95b1\u8b80\u5168\u6587 <span class=\"screen-reader-text\">How to Deploy Qwen3.5-4B-GGUF Uncensored Edition<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"ngg_post_thumbnail":0,"footnotes":""},"categories":[120],"tags":[],"class_list":["post-1947","post","type-post","status-publish","format-standard","hentry","category-retrievers","without-featured-image"],"_links":{"self":[{"href":"https:\/\/kaihuai.org.tw\/index.php?rest_route=\/wp\/v2\/posts\/1947","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kaihuai.org.tw\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kaihuai.org.tw\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kaihuai.org.tw\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/kaihuai.org.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1947"}],"version-history":[{"count":1,"href":"https:\/\/kaihuai.org.tw\/index.php?rest_route=\/wp\/v2\/posts\/1947\/revisions"}],"predecessor-version":[{"id":1948,"href":"https:\/\/kaihuai.org.tw\/index.php?rest_route=\/wp\/v2\/posts\/1947\/revisions\/1948"}],"wp:attachment":[{"href":"https:\/\/kaihuai.org.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1947"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kaihuai.org.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1947"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kaihuai.org.tw\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1947"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}