Qwen3-Coder-30B-A3B-Instruct Windows 10

Running this model locally is fastest when deployed through Docker.

Please follow the instructions listed below to get started.

The installer auto-downloads and deploys the entire model pack.

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

🔐 Hash sum: ec4f6130a4be21f334d55bd956575c66 | 📅 Last update: 2026-06-22

CPU: modern architecture (Zen 3 / Alder Lake minimum)
RAM: 32 GB or higher for smooth 32k context lengths
Disk: 150+ GB for high-context vector database storage
GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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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