Run Qwen3-Coder-30B-A3B-Instruct-FP8 No-Internet Version

Posted bycityheightscommunityPosted inEngines

The most rapid route to a local installation of this model is through Docker.

Follow the step-by-step instructions below.

The system automatically triggers a cloud download for all heavy weights.

The installer will automatically analyze your hardware and select the optimal configuration for your system.

🧾 Hash-sum — 8b1b759c90ae5094097cff6bfc515a82 • 🗓 Updated on: 2026-06-23
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  • Processor: 6-core 3.5 GHz minimum required
  • RAM: 64 GB to avoid OOM crashes on large contexts
  • Storage: extra room for future model updates and datasets
  • GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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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