Amadeus-Verbo Technical Report: The powerful Qwen2.5 family models trained in Portuguese
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866916770248392704 |
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| author | Cruz-Castañeda, William Alberto Amadeus, Marcellus |
| author_facet | Cruz-Castañeda, William Alberto Amadeus, Marcellus |
| contents | This report introduces the experience of developing Amadeus Verbo, a family of large language models for Brazilian Portuguese. To handle diverse use cases, Amadeus Verbo includes base-tuned, merged, and instruction-tuned models in sizes of 0.5B, 1.5B, 3B, 7B, 14B, 32B, and 72B parameters. Thus, the main objective is to show how easy it is to fine-tune foundation models to democratize the open-source development of Brazilian Portuguese LLMs when data and resources are available. Amadeus-Verbo family models are all available at HuggingFace at https://huggingface.co/collections/amadeusai/amadeus-verbo-qwen25-67cf2e7aae69ce2b3bcdcfda. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_00019 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Amadeus-Verbo Technical Report: The powerful Qwen2.5 family models trained in Portuguese Cruz-Castañeda, William Alberto Amadeus, Marcellus Computation and Language Artificial Intelligence This report introduces the experience of developing Amadeus Verbo, a family of large language models for Brazilian Portuguese. To handle diverse use cases, Amadeus Verbo includes base-tuned, merged, and instruction-tuned models in sizes of 0.5B, 1.5B, 3B, 7B, 14B, 32B, and 72B parameters. Thus, the main objective is to show how easy it is to fine-tune foundation models to democratize the open-source development of Brazilian Portuguese LLMs when data and resources are available. Amadeus-Verbo family models are all available at HuggingFace at https://huggingface.co/collections/amadeusai/amadeus-verbo-qwen25-67cf2e7aae69ce2b3bcdcfda. |
| title | Amadeus-Verbo Technical Report: The powerful Qwen2.5 family models trained in Portuguese |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2506.00019 |