RichardErkhov/

MaLA-LM_-_lucky52-bloom-7b1-no-24-gguf

• Model creator: https://huggingface.co/MaLA-LM/
• Original model: https://huggingface.co/MaLA-LM/lucky52-bloom-7b1-no-24/

• multilingual tags:
• generation
• question answering
• instruction tuning datasets:
• MBZUAI/Bactrian-X license: cc-by-nc-4.0

Model Description

• Base model: BLOOM 7B1
• 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
• 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
• Training method: full-parameter fine-tuning.

Usage

Citation

@inproceedings{ji2025lucky52,
      title={How Many Languages Make Good Multilingual Instruction Tuning? A Case Study on BLOOM}, 
      author={Shaoxiong Ji and Pinzhen Chen},
      year={2025},
      booktitle={Proceedings of COLING},
      url={https://arxiv.org/abs/2404.04850}, 
}