How to Launch Qwen3-Coder-30B-A3B-Instruct

administración July 7, 2026 Weights

How to Launch Qwen3-Coder-30B-A3B-Instruct

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

Make sure to follow the instructions below.

Everything happens automatically, including the heavy cloud asset download.

The initial setup handles the heavy lifting, fine-tuning the environment for your device.

🧩 Hash sum → 546e768a8e6583b84510a1d2437aa626 — Update date: 2026-07-05
  • Processor: 6-core 3.5 GHz minimum required
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Disk Space: 100 GB for multi-modal model vision components
  • Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

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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