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. ✨ 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 Conversational.ipynb) 2.4x faster 58% less Llama 3.2 (11B vision) ▶️ Start on Colab Vision.ipynb) 2x faster 60% less Qwen2.5 (7B) ▶️ Start on Colab Alpaca.ipynb) 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 instruct…
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