OpenAI gpt-oss now in Unsloth ✨

Fine-tune & run gpt-oss with Unsloth

You can now fine-tune OpenAI’s gpt-oss models with Unsloth! You can also run the model locally by using our GGUFs.

We also investigated gpt-oss and did some chat template fixes so make sure to use Unsloth for training & our quants.

All other training libraries/methods will require a minimum of 65GB VRAM to train gpt-oss-20b, while Unsloth only requires 14GB VRAM. The 120b gpt-oss model fits in 65GB VRAM.

• Fine-tune gpt-oss-20b for free with our Google Colab notebook

• View all our gpt-oss model uploads with fixes analysis and Guide:

🦥 Unsloth Updates

• Our newest updated speeds up every single model while also reducing VRAM usage by >20%.

• Qwen upgraded Qwen3 and launched their SOTA coding models! Fine-tune and run Qwen3-Coder and Qwen-2507 with Unsloth.