---
license: apache-2.0
tags:
  - gguf
  - qwen
  - qwen3
  - qwen3-coder
  - qwen3-coder-30B
  - qwen3-coder-30B-gguf
  - llama.cpp
  - quantized
  - text-generation
  - reasoning   
  - agent   
  - multilingual
base_model: Qwen/Qwen3-Coder-30B-A3B-Instruct
author: geoffmunn
pipeline_tag: text-generation
language:
  - en
  - zh
  - es
  - fr
  - de
  - ru
  - ar
  - ja
  - ko
  - hi
---

# Qwen3-Coder-30B-A3B-Instruct-f16-GGUF

This is a **GGUF-quantized version** of the **[Qwen/Qwen3-Coder-30B-A3B-Instruct](https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct)** language model.

Converted for use with `llama.cpp`, [LM Studio](https://lmstudio.ai), [OpenWebUI](https://openwebui.com), [GPT4All](https://gpt4all.io), and more.

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

## Available Quantizations (from f16)

| Level     | Quality       | Speed     | Size      | Recommendation |
|----------|--------------|----------|-----------|----------------|
| Q2_K | Minimal | ⚡ Fast | 11.30 GB | Only on severely memory-constrained systems. | 
| Q3_K_S | Low-Medium | ⚡ Fast | 13.30 GB | Minimal viability; avoid unless space-limited. | 
| Q3_K_M | Low-Medium | ⚡ Fast | 14.70 GB | Acceptable for basic interaction. | 
| Q4_K_S | Practical | ⚡ Fast | 17.50 GB | Good balance for mobile/embedded platforms. | 
| Q4_K_M | Practical | ⚡ Fast | 18.60 GB | Best overall choice for most users. | 
| Q5_K_S | Max Reasoning | 🐢 Medium | 21.10 GB | Slight quality gain; good for testing. | 
| Q5_K_M | Max Reasoning | 🐢 Medium | 21.70 GB | Best quality available. Recommended. | 
| Q6_K | Near-FP16 | 🐌 Slow | 25.10 GB | Diminishing returns. Only if RAM allows. | 
| Q8_0 | Lossless* | 🐌 Slow | 32.50 GB | Maximum fidelity. Ideal for archival. |

> 💡 **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](https://openwebui.com) – self-hosted AI interface with RAG & tools
- [LM Studio](https://lmstudio.ai) – desktop app with GPU support
- [GPT4All](https://gpt4all.io) – 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](https://huggingface.co/geoffmunn)

## Disclaimer

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