Load 4bit models 4x faster
Collection
Native bitsandbytes 4bit pre quantized models
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25 items
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Updated
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50
pip install git+https://github.com/huggingface/transformers.git
Directly quantized 4bit model with bitsandbytes
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We have a Google Colab Tesla T4 notebook for Gemma 2 (9B) here: https://colab.research.google.com/drive/1vIrqH5uYDQwsJ4-OO3DErvuv4pBgVwk4?usp=sharing
All notebooks are beginner friendly! Add your dataset, click "Run All", and you'll get a 2x faster finetuned model which can be exported to GGUF, vLLM or uploaded to Hugging Face.
Unsloth supports | Free Notebooks | Performance | Memory use |
---|---|---|---|
Llama 3 (8B) | ▶️ Start on Colab | 2.4x faster | 58% less |
Gemma 2 (9B) | ▶️ Start on Colab | 2x faster | 63% less |
Mistral (9B) | ▶️ Start on Colab | 2.2x faster | 62% less |
Phi 3 (mini) | ▶️ Start on Colab | 2x faster | 63% less |
TinyLlama | ▶️ Start on Colab | 3.9x faster | 74% less |
CodeLlama (34B) A100 | ▶️ Start on Colab | 1.9x faster | 27% less |
Mistral (7B) 1xT4 | ▶️ Start on Kaggle | 5x faster* | 62% less |
DPO - Zephyr | ▶️ Start on Colab | 1.9x faster | 19% less |