Qwen3-Coder-30B-A3B-Instruct-FP8 Locally via LM Studio Step-by-Step

Qwen3-Coder-30B-A3B-Instruct-FP8 Locally via LM Studio Step-by-Step

The most rapid route to a local installation of this model is through WSL2.

Review and follow the instructions below.

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

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

🛠 Hash code: e62a29f9f13096f72814e230f3ad684e — Last modification: 2026-06-30



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Disk Space:70 GB free space for full FP16 weights storage
  • GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

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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