开源葡萄牙语大模型家族，适配多种应用场景
Amadeus-Verbo Technical Report: The powerful Qwen2.5 family models trained in Portuguese
- 基于Qwen2.5微调，覆盖0.5B至72B参数规模
- 提供基础、合并、指令微调三类模型，支持多任务需求
- 模型全公开于HuggingFace，助力巴西葡语AI生态
本报告介绍了Amadeus Verbo的开发经验，这是一个面向巴西葡萄牙语的大语言模型系列。为应对多样化的使用场景，Amadeus Verbo包含0.5B、1.5B、3B、7B、14B、32B和72B参数规模的基座微调、合并及指令微调模型。其核心目标是展示在具备数据与资源条件下，微调基础模型以实现巴西葡萄牙语开源大模型民主化开发的可行性。所有Amadeus-Verbo系列模型均已在HuggingFace平台开放获取：https://huggingface.co/collections/amadeusai/amadeus-verbo-qwen25-67cf2e7aae69ce2b3bcdcfda。
原文摘要 · Abstract (English)
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.
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