Qwen3-Coder-30B-A3B-Instruct-FP8 Uncensored Edition Local Guide Windows

A standalone PowerShell module provides the fastest route to local installation.

Please adhere to the deployment steps listed below.

No manual effort needed; the setup auto-ingests the large data.

During setup, the script automatically determines and applies the best settings.

🔧 Digest: 5420dfbf82eca00cdb8f710883de84c3 • 🕒 Updated: 2026-07-02 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 32 GB highly recommended for 26B+ GGUF models Storage: extra room for future model updates and datasets Graphics: 12 GB VRAM minimum required for basic quantization

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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