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--- |
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license: bigscience-bloom-rail-1.0 |
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pipeline_tag: text-generation |
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library_name: transformers |
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tags: |
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- dolly |
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- bloomz |
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- Spanish |
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datasets: |
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- dvilasuero/databricks-dolly-15k-es-deepl |
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inference: false |
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widget: |
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- text: >- |
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Below is an instruction that describes a task, paired with an input that |
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provides further context. |
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Write a response that appropriately completes the request. |
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Tell me about alpacas |
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language: |
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- es |
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--- |
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<div style="text-align:center;width:250px;height:250px;"> |
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<img src="https://huggingface.co/mrm8488/dolloom/resolve/main/dolloom_logo.png" alt="Alpacoom logo""> |
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</div> |
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# DOLLOOM: Dolly 🐑 + BLOOMz 💮 |
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## Adapter Description |
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This adapter was created with the [PEFT](https://github.com/huggingface/peft) library and allowed the base model **BigScience/BLOOMz 7B1** to be fine-tuned on the **Dolly's Dataset (tanslated to Spanish)** by using the method **LoRA**. |
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## Model Description |
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Instruction Tuned version of BigScience Large Open-science Open-access Multilingual. |
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[BLOOMz 7B1 MT](https://huggingface.co/bigscience/bloomz-7b1-mt) |
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## Training data |
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TBA |
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### Supported Tasks and Leaderboards |
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TBA |
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### Training procedure |
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TBA |
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## How to use |
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TBA |
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## Citation |
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``` |
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@misc {manuel_romero_2023, |
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author = { {Manuel Romero} }, |
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title = { dolloom (Revision 599b95a) }, |
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year = 2023, |
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url = { https://huggingface.co/mrm8488/dolloom }, |
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doi = { 10.57967/hf/0540 }, |
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publisher = { Hugging Face } |
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} |
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``` |
