Happy July! 🦥 We’re excited to introduce lots of new updates for Unsloth:
Run and fine-tune Google’s new Gemma 3n models. Gemma 3n supports text, image, video, and audio with 32K context. We’ve uploaded Dynamic quants, GGUFs, and released fine-tuning notebooks.
We’ve released a new GitHub repo featuring 100+ Unsloth notebooks
Qwen3 Advanced GRPO notebook with our new proximity scoring reward function and priming stage to skip GRPO format learning
Unsloth now supports the latest vLLM, TRL, and Transformers.
New Reinforcement Learning (RL) and LoRA hyperparameter guide
Unsloth supports TTS and Speech-to-text (STT) models including Sesame-CSM, Orpheus, OpenAI’s Whisper. We also made extensive notebooks for TTS and a Guide.
DeepSeek’s R1 update is here. Fine-tune DeepSeek-R1-0528-Qwen3 with GRPO. Our notebook features a new reward function which increases multilingual response rates by 40%.
Our Dynamic 1-bit GGUFs shrink the full 715GB model to 162GB (-80% size).
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