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--- |
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library_name: transformers |
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pipeline_tag: text-generation |
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language: |
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- multilingual |
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tags: |
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- generation |
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- question answering |
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- instruction tuning |
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datasets: |
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- MBZUAI/Bactrian-X |
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license: cc-by-nc-4.0 |
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--- |
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### Model Description |
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This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages. |
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We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three multilingual benchmarks. |
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Please refer to our paper for more details. |
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#### Instruction tuning details |
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* Base model: [BLOOM 7B1](https://huggingface.co/bigscience/bloom-7b1) |
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* Instruction languages: English, Chinese, Afrikaans, Arabic, Azerbaijani, Bengali, Czech |
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* Instruction language codes: en, zh, af, ar, az, bn, cs |
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* Training method: full-parameter fine-tuning. |
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#### Usage |
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The model checkpoint should be loaded using `transformers` library. |
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```python |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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tokenizer = AutoTokenizer.from_pretrained("MaLA-LM/lucky52-bloom-7b1-no-7") |
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model = AutoModelForCausalLM.from_pretrained("MaLA-LM/lucky52-bloom-7b1-no-7") |
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``` |
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#### Citation |
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``` |
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@article{ |
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} |
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``` |
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