{"id":2379,"date":"2026-06-30T09:22:36","date_gmt":"2026-06-30T07:22:36","guid":{"rendered":"https:\/\/glodap.info\/?p=2379"},"modified":"2026-06-30T09:22:36","modified_gmt":"2026-06-30T07:22:36","slug":"deploy-qwen3-coder-30b-a3b-instruct-on-amd-nvidia-gpu","status":"publish","type":"post","link":"https:\/\/glodap.info\/index.php\/2026\/06\/30\/deploy-qwen3-coder-30b-a3b-instruct-on-amd-nvidia-gpu\/","title":{"rendered":"Deploy Qwen3-Coder-30B-A3B-Instruct on AMD\/Nvidia GPU"},"content":{"rendered":"<p><img decoding=\"async\" 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\" alt=\"Deploy Qwen3-Coder-30B-A3B-Instruct on AMD\/Nvidia GPU\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>The <i>fastest way<\/i> to get this model running locally is via <b>Optional Features<\/b>.<\/p>\n<p>Follow the <i>straightforward<\/i> <b>walkthrough<\/b> provided below.<\/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 setup file includes a feature that <b>instantly optimizes all configurations<\/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: 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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:21px;padding-left:16px;margin-left:0;\">\n<li><strong>Processor:<\/strong> high <strong>single-core<\/strong> performance needed for token latency<\/li>\n<li><strong>RAM:<\/strong> required: 16 GB <strong>absolute minimum<\/strong> for small models<\/li>\n<li><b>Disk Space:<\/b> free: 80 GB on <b>system drive<\/b> for scratch space<\/li>\n<li><strong>GPU:<\/strong> high memory bandwidth GPU for <strong>next-gen local AI<\/strong> pipeline<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p>The <b>Qwen3-Coder-30B-A3B-Instruct<\/b> model is a large language model specifically optimized for code generation and software engineering tasks. It leverages an <i>A3B<\/i> architecture that balances parameter count and inference efficiency, delivering robust performance across multiple programming languages. With <b>30 billion parameters<\/b> and a context window extending to 16\u202fk tokens, the model can understand and generate lengthy code snippets and documentation. The model has been fine\u2011tuned on extensive public code repositories and instructional datasets, enabling it to follow complex coding conventions and best practices. In benchmarks such as HumanEval and MBPP, Qwen3-Coder-30B-A3B-Instruct consistently achieves <i>top\u2011tier<\/i> scores, often rivaling or surpassing specialized coding assistants. Below is a quick comparison of its core specifications:  <\/p>\n<table>\n<tr>\n<td><b>Parameter Count<\/b><\/td>\n<td>30\u202fB<\/td>\n<\/tr>\n<tr>\n<td><b>Context Length<\/b><\/td>\n<td>16\u202fk tokens<\/td>\n<\/tr>\n<tr>\n<td><b>Training Data<\/b><\/td>\n<td>Public code repos + instructional datasets<\/td>\n<\/tr>\n<tr>\n<td><b>Primary Use<\/b><\/td>\n<td>Code generation &#038; software engineering<\/td>\n<\/tr>\n<\/table>\n<ul>\n<li>Downloader pulling micro-sized language models for instant smart replies<\/li>\n<li>Launch Qwen3-Coder-30B-A3B-Instruct Using Pinokio Full Method<\/li>\n<li>Installer deploying deep semantic index tools requiring zero cloud connections<\/li>\n<li>How to Install Qwen3-Coder-30B-A3B-Instruct on Copilot+ PC 2026\/2027 Tutorial Windows<\/li>\n<li>Downloader for specialized named entity recognition model files<\/li>\n<li>Run Qwen3-Coder-30B-A3B-Instruct For Low VRAM (6GB\/8GB) Offline Setup Windows<\/li>\n<li>Setup script downloading pre-trained LoRA adapter weights locally<\/li>\n<li>How to Run Qwen3-Coder-30B-A3B-Instruct on AMD\/Nvidia GPU Full Speed NPU Mode<\/li>\n<li>Downloader for customized Gemma-2-27B GGUF layers with dynamic offloading splits<\/li>\n<li>Qwen3-Coder-30B-A3B-Instruct via WebGPU (Browser) Windows<\/li>\n<li>Script downloading custom LoRA weights for high-fidelity SDXL cinematic production pipelines<\/li>\n<li>Qwen3-Coder-30B-A3B-Instruct For Beginners FREE<\/li>\n<\/ul>\n<p><a href='https:\/\/pvmedtech.net\/category\/custom\/'>https:\/\/pvmedtech.net\/category\/custom\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The fastest way to get this model running locally is via Optional Features. Follow the straightforward walkthrough provided below. The process automatically pulls down gigabytes of critical model assets. The setup file includes a feature that instantly optimizes all configurations. \ud83d\udcca File Hash: 8b11644e5ebe082e9796b6b230e19086 \u2014 Last update: 2026-06-28 Verify Processor: high single-core performance needed for &hellip; <a href=\"https:\/\/glodap.info\/index.php\/2026\/06\/30\/deploy-qwen3-coder-30b-a3b-instruct-on-amd-nvidia-gpu\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Deploy Qwen3-Coder-30B-A3B-Instruct on AMD\/Nvidia GPU&#8221;<\/span><\/a><\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17],"tags":[],"class_list":["post-2379","post","type-post","status-publish","format-standard","hentry","category-gguf"],"_links":{"self":[{"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/posts\/2379","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/comments?post=2379"}],"version-history":[{"count":1,"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/posts\/2379\/revisions"}],"predecessor-version":[{"id":2380,"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/posts\/2379\/revisions\/2380"}],"wp:attachment":[{"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/media?parent=2379"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/categories?post=2379"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/tags?post=2379"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}