Thanks for all the love and support this year! We're wishing you all a lovely Christmas. Please update Unsloth & our Docker to use the latest updates! 🦥
- Introducing 3x faster training & 30% less VRAM. New Triton kernels, padding-free &...
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Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek, Qwen, Llama, Gemma, TTS 2x faster with 70% less VRAM.
Last updated 1 day ago
Thanks for all the love and support this year! We're wishing you all a lovely Christmas. Please update Unsloth & our Docker to use the latest updates! 🦥
We’re getting close to our final release of 2025! Thanks so much for sticking with us this year. We’ve got lots of new features so please update Unsloth & our Docker to use the latest updates! 🦥
Hey everyone, please update Unsloth to use the latest updates! 🦥
We’re introducing gpt-oss RL support and the fastest RL inference and lowest VRAM use vs. any implementation. Blog: https://docs.unsloth.ai/new/gpt-oss-reinforcement-learning
We're excited to support Vision models for RL and even more memory efficient + faster RL!
Unsloth now supports vision/multimodal RL with Gemma 3, Qwen2.5-VL and other vision models. Due to Unsloth's unique weight sharing and custom kernels, Unsloth makes VL...
We’re excited to introduce Unsloth Flex Attention support for OpenAI gpt-oss training that enables >8× longer context lengths, >50% less VRAM usage and >1.5× faster training compared to all implementations including those using Flash Attention 3 (FA3). Unsloth Flex Attention makes it possible to train with a 60K context length on just 80GB of VRAM for BF16 LoRA. Also:
Finetune gpt-oss for free with our Unsloth Colab notebook!
Please update Unsloth!
pip install --upgrade --force-reinstall --no-deps --no-cache-dir unsloth unsloth_zoo
Please update Unsloth via pip install --upgrade --force-reinstall unsloth unsloth_zoo
Qwen3 notebook: https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_(14B)-Reasoning-Conversational.ipynb GRPO with Qwen3 notebook: https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_(4B)-GRPO.ipynb
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