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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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+
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+ ### Model Description
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+
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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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+
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+ Please refer to our paper for more details.
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+
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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, German, Spanish, Estonian, Farsi, Finnish, French, Galician, Gujarati, Hebrew, Hindi, Croatian, Indonesian, Italian, Japanese, Georgian, Kazakh, Khmer, Korean, Lithuanian, Latvian, Macedonian, Malayalam, Mongolian, Marathi, Burmese, Nepali, Dutch, Polish, Pashto, Portuguese, Romanian, Russian, Sinhala
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+ * Instruction language codes: en, zh, af, ar, az, bn, cs, de, es, et, fa, fi, fr, gl, gu, he, hi, hr, id, it, ja, ka, kk, km, ko, lt, lv, mk, ml, mn, mr, my, ne, nl, pl, ps, pt, ro, ru, si
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+ * Training method: full-parameter fine-tuning.
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+
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+ #### Usage
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+ The model checkpoint should be loaded using `transformers` library.
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+
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+ ```python
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+ from transformers import AutoTokenizer, AutoModelForCausalLM
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+
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+ tokenizer = AutoTokenizer.from_pretrained("MaLA-LM/lucky52-bloom-7b1-no-40")
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+ model = AutoModelForCausalLM.from_pretrained("MaLA-LM/lucky52-bloom-7b1-no-40")
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+ ```
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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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+