Instructions to use N-Bot-Int/KrizNore4-E2B-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use N-Bot-Int/KrizNore4-E2B-v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("N-Bot-Int/KrizNore4-E2B-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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README.md
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#
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- **Developed by:** N-Bot-Int
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- **License:**
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- **Finetuned from model :** p-e-w/gemma-4-E2B-it-heretic-ara
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This
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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license: agpl-3.0
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language:
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# LORA ADAPTER OF N-Bot-Int/KrizNore4-E2B-v1
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(THIS IS ONLY USED FOR FINETUNING, USE **mradermacher/KrizNore4-E2B-v1-merged-GGUF** FOR THE GGUF!)
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- **Developed by:** N-Bot-Int
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- **License:** agpl-3.0
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- **Finetuned from model :** p-e-w/gemma-4-E2B-it-heretic-ara
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This Gemma4 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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FEEL FREE TO FINETUNE THE AI MODEL, HOWEVER PLEASE READ THE DISCLAIMER
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[HERE!](https://huggingface.co/N-Bot-Int/ElaNore3-4B-merged)
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(LEGACY, ADAPTERS SET AS APACHE2.0)
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