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--- |
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license: gpl-3.0 |
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datasets: |
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- databricks/databricks-dolly-15k |
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language: |
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- en |
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pipeline_tag: question-answering |
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--- |
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Minimal Alpaca-LORA trained with [databricks/databricks-dolly-v2-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) dataset and based on [OpenLLaMA-3B-600BT](https://huggingface.co/openlm-research/open_llama_3b_600bt_preview). |
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There is a pre-trained LoRA adapter and a [Colab Jupyter notebook](https://colab.research.google.com/#fileId=https://huggingface.co/Sovenok-Hacker/openalpaca-3b/blob/main/finetune.ipynb) for fine-tuning (about 3 hours for 1 epoch on T4). |
