35 lines
1.5 KiB
Markdown
35 lines
1.5 KiB
Markdown
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---
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license: bigscience-bloom-rail-1.0
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language:
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- it
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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This model is obtained by adapting bloom-1b7 to the Italian language. Among the languages supported by the BLOOM model, there is no Italian, making its use
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in that context challenging. We adapt the original BLOOM model using the MAD-X language adaptation strategy.
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## Model Details
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### Model Description
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We adapt the bloom-1b7 to the Italian language using the MAD-X language adaptation strategy.
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To produce a valuable model, we follow the same procedure proposed in: https://arxiv.org/abs/2212.09535
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We use default script parameters and select a sample of 100,000 examples in the Italian language. We decided to sample data from the Filtered Oscar Dataset for
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the Italian Language released by Sarti.
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**It is important to underline that when you use the adapted LLM is necessary to use the tokenizer of the adapted model.**
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- **Developed by:** Pierpaolo Basile, Pierluigi Cassotti, Marco Polignano, Lucia Siciliani, Giovanni Semeraro. Department of Computer Science, University of Bari Aldo Moro, Italy
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- **Model type:** BLOOM
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- **Language(s) (NLP):** Italian
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- **License:** BigScience BLOOM RAIL 1.0
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## Citation
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Pierpaolo Basile, Pierluigi Cassotti, Marco Polignano, Lucia Siciliani, Giovanni Semeraro. On the impact of Language Adaptation for Large Language Models: A
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case study for the Italian language using only open resources. Proceedings of the Ninth Italian Conference on Computational Linguistics (CLiC-it 2023).
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