Qwen3-Coder-30B-A3B-Instruct-f32-GGUF

This is a GGUF-quantized version of the Qwen/Qwen3-Coder-30B-A3B-Instruct language model.

Converted for use with llama.cpp, LM Studio, OpenWebUI, GPT4All, and more.

Why f32?

This model uses FP32 (32-bit floating point) as its base precision. This is unusual for GGUF models because:

• FP32 doubles memory usage vs FP16.
• Modern LLMs (including Qwen3) are trained in mixed precision and do not benefit from FP32 at inference time.
• Only useful for debugging, research, or extreme numerical robustness.

F16 is probably a better choice, but you can use this to compare the difference in outputs (if any).

💡 Key Features of Qwen3-Coder-30B-A3B-Instruct:

Available Quantizations (from f32)

💡 Recommendations by Use Case

• 💻 Standard Laptop (i5/M1 Mac): Q5_K_M (optimal quality)
• 🧠 Reasoning, Coding, Math: Q5_K_M or Q6_K
• 🔍 RAG, Retrieval, Precision Tasks: Q6_K or Q8_0
• 🤖 Agent & Tool Integration: Q5_K_M
• 🛠️ Development & Testing: Test from Q4_K_M up to Q8_0

Usage

Load this model using:

• OpenWebUI – self-hosted AI interface with RAG & tools
• LM Studio – desktop app with GPU support
• GPT4All – private, offline AI chatbot
• Or directly via llama.cpp

Each quantized model includes its own README.md and shares a common MODELFILE.

Author

👤 Geoff Munn (@geoffmunn)
🔗 Hugging Face Profile

Disclaimer

This is a community conversion for local inference. Not affiliated with Alibaba Cloud or the Qwen team.