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How to Autostart Qwen3-Coder-30B-A3B-Instruct-FP8 Full Speed NPU Mode

How to Autostart Qwen3-Coder-30B-A3B-Instruct-FP8 Full Speed NPU Mode

Docker offers the quickest path to setting up this model locally.

Simply follow the directions outlined below.

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The setup auto-downloads all needed files (several GBs).

The deployment tool scans your environment and automatically chooses the ideal parameters for your OS.

šŸ” Hash sum: 81a8087131c903664fe704dd5a63cee4 | šŸ“… Last update: 2026-06-26



  • Processor: 4.0 GHz+ boost clock recommended for CPU inference
  • RAM: enough space for background apps and OS overhead
  • Disk Space: free: 80 GB on system drive for scratch space
  • GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

Qwen3-Coder-30B-A3B-Instruct-FP8 is a large language model fine‑tuned for code generation and debugging, built on the Qwen3 architecture with 30 billion parameters and an A3B sparse attention mechanism. It leverages FP8 quantization to achieve higher inference speed while preserving accuracy across a wide range of programming tasks. The model demonstrates strong multilingual code understanding, 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 state‑of‑the‑art solutions with fewer tokens. A comparison table below highlights its advantages over similar models, showing superior throughput and a lower memory footprint.

Model Qwen3-Coder-30B-A3B-Instruct-FP8
Parameters 30 B
Attention A3B sparse
Quantization FP8
Supported Languages 20+ programming languages
Benchmark Score (HumanEval) 92.3%
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