Setup Qwen3-Coder-30B-A3B-Instruct-FP8 Locally via Ollama 2 No-Internet Version Easy Build Windows

The fastest way to get this model running locally is via Optional Features.

Follow the straightforward walkthrough provided below.

The script takes care of fetching the multi-gigabyte model weights.

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

📊 File Hash: 3cd11429b42518994b4e897e332175fc — Last update: 2026-06-24 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 32 GB or higher for smooth 32k context lengths Storage:100 GB free space for HuggingFace cache folder Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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.

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