Qwen3-Coder-30B-A3B-Instruct Using Pinokio Windows

The fastest method for installing this model locally is by using Docker.

Check out the detailed setup guide below to begin.

Everything happens automatically, including the heavy cloud asset download.

The configuration wizard runs silently to set up the model for peak performance.

🧩 Hash sum → 56e29046427ee1bd7eae96a78c070254 — Update date: 2026-06-29



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Storage: extra room for future model updates and datasets
  • Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

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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