Qwen3-Coder-30B-A3B-Instruct Step-by-Step

For the fastest local setup of this model, enabling Windows Features is best.

Kindly follow the on-screen instructions below.

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

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

📘 Build Hash: 6e2b971ea6a296e6bd604b93853c740d • 🗓 2026-07-01

Processor: 6-core 3.5 GHz minimum required
RAM: at least 32 GB in dual-channel mode for bandwidth
Disk Space: required: fast PCIe 4.0 drive for instant boots
GPU: high memory bandwidth GPU for next-gen local AI pipeline

The Qwen3-Coder-30B-A3B-Instruct model is a large language model specifically optimized for code generation and software engineering tasks. It leverages an A3B architecture that balances parameter count and inference efficiency, delivering robust performance across multiple programming languages. With 30 billion parameters and a context window extending to 16 k tokens, the model can understand and generate lengthy code snippets and documentation. The model has been fine‑tuned on extensive public code repositories and instructional datasets, enabling it to follow complex coding conventions and best practices. In benchmarks such as HumanEval and MBPP, Qwen3-Coder-30B-A3B-Instruct consistently achieves top‑tier scores, often rivaling or surpassing specialized coding assistants. Below is a quick comparison of its core specifications:

Parameter Count	30 B
Context Length	16 k tokens
Training Data	Public code repos + instructional datasets
Primary Use	Code generation & software engineering

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