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alt=\"Zero-Click Run Qwen3-Coder-30B-A3B-Instruct PC with NPU Uncensored Edition\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>To get this model running locally in <i>no time<\/i>, utilize the built-in <b>WSL tools<\/b>.<\/p>\n<p>Proceed by following the <b>technical instructions<\/b> below.<\/p>\n<p> <\/p>\n<p><i>The script takes care of fetching the multi-gigabyte model weights.<\/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: 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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:23px;padding-left:20px;margin-left:0;\">\n<li><b>Processor:<\/b> 6-core <b>3.5 GHz<\/b> minimum required<\/li>\n<li><b>RAM:<\/b> high-speed <b>DDR5 memory<\/b> preferred for CPU offloading<\/li>\n<li><b>Disk Space:<\/b> free: 80 GB on <b>system drive<\/b> for scratch space<\/li>\n<li><b>Graphics:<\/b> TensorRT-LLM \/ vLLM <b>inference engine<\/b> compatible chip<\/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<ol>\n<li>Downloader pulling extremely light gemma-2b profiles for real-time edge responses<\/li>\n<li>Zero-Click Run Qwen3-Coder-30B-A3B-Instruct Locally via Ollama 2 5-Minute Setup FREE<\/li>\n<li>Script fetching deepseek-math-7b models for local offline research sandbox platforms<\/li>\n<li>Zero-Click Run Qwen3-Coder-30B-A3B-Instruct with Native FP4 Direct EXE Setup FREE<\/li>\n<li>Script pulling calibrated rank-stabilized LoRA base models<\/li>\n<li>Setup Qwen3-Coder-30B-A3B-Instruct Using Pinokio One-Click Setup Windows<\/li>\n<li>Script fetching optimized Phi-4-Mini-Instruct weights for low-power edge arrays<\/li>\n<li>How to Run Qwen3-Coder-30B-A3B-Instruct via WebGPU (Browser) Uncensored Edition For Beginners FREE<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>To get this model running locally in no time, utilize the built-in WSL tools. Proceed by following the technical instructions below. The script takes care of fetching the multi-gigabyte model weights. 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