{"id":2633,"date":"2026-06-30T11:13:15","date_gmt":"2026-06-30T08:13:15","guid":{"rendered":"https:\/\/thierryandriana.mg\/?p=2633"},"modified":"2026-06-30T11:13:15","modified_gmt":"2026-06-30T08:13:15","slug":"quick-run-qwen3-coder-30b-a3b-instruct-fp8-one-click-setup-offline-setup","status":"publish","type":"post","link":"https:\/\/thierryandriana.mg\/en\/quick-run-qwen3-coder-30b-a3b-instruct-fp8-one-click-setup-offline-setup\/","title":{"rendered":"Quick Run Qwen3-Coder-30B-A3B-Instruct-FP8 One-Click Setup Offline Setup"},"content":{"rendered":"<p><img decoding=\"async\" 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\" alt=\"Quick Run Qwen3-Coder-30B-A3B-Instruct-FP8 One-Click Setup Offline Setup\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>Deploying locally takes the <i>least amount of time<\/i> when executed through <b>native OS tools<\/b>.<\/p>\n<p>Follow the <i>straightforward<\/i> <b>walkthrough<\/b> provided below.<\/p>\n<p> <\/p>\n<p><i>The framework seamlessly downloads the massive neural network binaries.<\/i><\/p>\n<p> <\/p>\n<p>The script runs a quick hardware check to <b>dynamically adjust parameters for elite speed<\/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: 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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:24px;padding-left:19px;margin-left:0;\">\n<li><strong>Processor:<\/strong> high <strong>single-core<\/strong> performance needed for token latency<\/li>\n<li><b>RAM:<\/b> enough space for <b>background apps<\/b> and OS overhead<\/li>\n<li><strong>Disk Space:<\/strong>70 GB free space for <strong>full FP16 weights<\/strong> storage<\/li>\n<li><strong>Graphic Processor:<\/strong> hardware <strong>Tensor Cores<\/strong> support needed for FP16 acceleration<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p>Qwen3-Coder-30B-A3B-Instruct-FP8 is a large language model fine\u2011tuned for code generation and debugging, built on the Qwen3 architecture with 30\u202fbillion parameters and an A3B sparse attention mechanism. It leverages <i>FP8 quantization<\/i> to achieve higher inference speed while preserving accuracy across a wide range of programming tasks. The model demonstrates strong <b>multilingual code understanding<\/b>, supporting over 20 programming languages and adhering to best practices in style and documentation. In benchmarks such as HumanEval and MBPP, it consistently ranks among the top performers, delivering <i>state\u2011of\u2011the\u2011art<\/i> solutions with fewer tokens. A comparison table below highlights its advantages over similar models, showing superior throughput and a lower memory footprint.    <\/p>\n<table border=\"1\" cellpadding=\"5\" cellspacing=\"0\">\n<tr>\n<th>Model<\/th>\n<td>Qwen3-Coder-30B-A3B-Instruct-FP8<\/td>\n<\/tr>\n<tr>\n<th>Parameters<\/th>\n<td>30\u202fB<\/td>\n<\/tr>\n<tr>\n<th>Attention<\/th>\n<td>A3B sparse<\/td>\n<\/tr>\n<tr>\n<th>Quantization<\/th>\n<td>FP8<\/td>\n<\/tr>\n<tr>\n<th>Supported Languages<\/th>\n<td>20+ programming languages<\/td>\n<\/tr>\n<tr>\n<th>Benchmark Score (HumanEval)<\/th>\n<td>92.3%<\/td>\n<\/tr>\n<\/table>\n<ul>\n<li>Installer setting up local Ollama models with custom system prompts<\/li>\n<li>Deploy Qwen3-Coder-30B-A3B-Instruct-FP8 Windows 11 Direct EXE Setup FREE<\/li>\n<li>Script downloading specialized multi-column layout parsing models for PDF engine scrapers<\/li>\n<li>How to Install Qwen3-Coder-30B-A3B-Instruct-FP8 on Your PC Local Guide FREE<\/li>\n<li>Installer configuring local guardrail models for filtering bad responses<\/li>\n<li>Qwen3-Coder-30B-A3B-Instruct-FP8 Locally (No Cloud) No-Internet Version For Beginners<\/li>\n<li>Setup tool installing single-binary Llamafile servers for isolated corporate networks<\/li>\n<li>Run Qwen3-Coder-30B-A3B-Instruct-FP8 via WebGPU (Browser) with Native FP4 5-Minute Setup<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Deploying locally takes the least amount of time when executed through native OS tools. Follow the straightforward walkthrough provided below. The framework seamlessly downloads the massive neural network binaries. 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