File size: 2,632 Bytes
7b677db a94b69b 7b677db 6d57c49 7b677db a94b69b 7b677db |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 |
---
license: apache-2.0
tags:
- gguf
- qwen
- 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-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 — a 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.
|