See our collection for all versions of Qwen3 including GGUF, 4-bit & 16-bit formats.

Learn to run Qwen3 correctly - Read our Guide.

Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants.

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✨ Run & Fine-tune Qwen3 with Unsloth!

New updated quants

Fine-tune Qwen3 (14B) for free using our Google Colab notebook here!
Read our Blog about Qwen3 support: unsloth.ai/blog/qwen3
View the rest of our notebooks in our docs here.
Run & export your fine-tuned model to Ollama, llama.cpp or HF.

Unsloth supports	Free Notebooks	Performance	Memory use
Qwen3 (14B)	▶️ Start on Colab	3x faster	70% less
GRPO with Qwen3 (8B)	▶️ Start on Colab	3x faster	80% less
Llama-3.2 (3B)	▶️ Start on Colab	2.4x faster	58% less
Llama-3.2 (11B vision)	▶️ Start on Colab	2x faster	60% less
Qwen2.5 (7B)	▶️ Start on Colab	2x faster	60% less
Phi-4 (14B)	▶️ Start on Colab	2x faster	50% less

To Switch Between Thinking and Non-Thinking

If you are using llama.cpp, Ollama, Open WebUI etc., you can add /think and /no_think to user prompts or system messages to switch the model's thinking mode from turn to turn. The model will follow the most recent instruction in multi-turn conversations.

Here is an example of multi-turn conversation:

> Who are you /no_think

<think>

</think>

I am Qwen, a large-scale language model developed by Alibaba Cloud. [...]

> How many 'r's are in 'strawberries'? /think

<think>
Okay, let's see. The user is asking how many times the letter 'r' appears in the word "strawberries". [...]
</think>

The word strawberries contains 3 instan

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本数据集的许可证为 Apache License 2.0。如有违反相关条款，请联系 WEHUB，我们将及时处理。查看许可证

unsloth/Qwen3-30B-A3B-128K-GGUF 已完整同步

✨ Run & Fine-tune Qwen3 with Unsloth!

To Switch Between Thinking and Non-Thinking

33 个文件

数据集版权信息