Microsoft's new Phi-4 model in all formats. Includes GGUF, 4-bit bnb and original versions. Includes Unsloth's bug fixes.
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🦥Unsloth makes fine-tuning of LLMs & Vision LMs 2.2x faster and use 80% less VRAM!
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Unsloth supports | Free Notebooks | Performance | Memory use |
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Llama 3.1 (8B) | ▶️ Start on Colab | 2.1x faster | 60% less |
Llama 3.2 (1B & 3B) | ▶️ Start on Colab | 2.1x faster | 60% less |
Llama 3.2 (11B) Vision | ▶️ Start on Colab | 2x faster | 60% less |
Gemma 2 (9B) | ▶️ Start on Colab | 2x faster | 63% less |
Mistral Nemo (12B) | ▶️ Start on Colab | 2x faster | 60% less |
Phi-3.5 (mini) | ▶️ Start on Colab | 2x faster | 50% less |
Qwen 2.5 (7B) | ▶️ Start on Colab | 2x faster | 50% less |
Collections
13
Unsloths Dynamic 4bit Quants selectively skips quantizing certain parameters; greatly improving accuracy while only using <10% more VRAM than BnB 4bit
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unsloth/phi-4-unsloth-bnb-4bit
Text Generation • Updated • 109 • 9 -
unsloth/Llama-3.2-11B-Vision-Instruct-unsloth-bnb-4bit
Image-Text-to-Text • Updated • 40k • 14 -
unsloth/Qwen2-VL-7B-Instruct-unsloth-bnb-4bit
Image-Text-to-Text • Updated • 15.7k • 6 -
unsloth/Qwen2-VL-2B-Instruct-unsloth-bnb-4bit
Image-Text-to-Text • Updated • 8.65k • 4
models
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datasets
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unsloth/notebooks
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90
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30
unsloth/LaTeX_OCR
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Updated
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76.3k
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941
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unsloth/Radiology_mini
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Updated
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2.31k
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2.05k
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unsloth/llava-instruct-mix-vsft-mini
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9.92k
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210
unsloth/RLAIF-V-Dataset
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2.49k
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51
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unsloth/studio_mmlu
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unsloth/studio_dataset
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300
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34
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unsloth/datasets
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891
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