Hugging Face Model Overview
This model, CEIA-POSITIVO/Qwen-1.7B-capado, is a 2 billion parameter language model. It is based on the Qwen architecture, a family of large language models developed by Qwen. The model card indicates it is a Hugging Face Transformers model, but specific details regarding its development, funding, or fine-tuning from a base model are not provided in the current documentation.
Key Characteristics
- Parameter Count: 2 billion parameters, making it a relatively compact model suitable for various applications.
- Architecture: Based on the Qwen model family.
- Context Length: The model supports a context length of 40960 tokens.
Limitations and Recommendations
Due to the lack of detailed information in the model card, specific biases, risks, and limitations are not explicitly outlined. Users are advised to be aware that all language models carry inherent risks and biases. Further recommendations require more information on the model's training data, procedure, and evaluation. Direct and downstream users should exercise caution and conduct their own evaluations to understand its suitability for specific use cases.