emajoch1/qwen2.5-3b-dora-abstention
The emajoch1/qwen2.5-3b-dora-abstention model is a 3.1 billion parameter language model based on the Qwen2.5 architecture. This model is shared by emajoch1 and has a context length of 32768 tokens. Specific details regarding its fine-tuning, primary differentiators, and intended use cases are not provided in the available model card.
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Overview
This model, emajoch1/qwen2.5-3b-dora-abstention, is a 3.1 billion parameter language model built upon the Qwen2.5 architecture. It supports a substantial context length of 32768 tokens, indicating its potential for handling longer sequences of text. The model is shared by emajoch1 on the Hugging Face Hub.
Key Characteristics
- Model Family: Qwen2.5
- Parameter Count: 3.1 billion parameters
- Context Length: 32768 tokens
Limitations and Further Information
The provided model card indicates that significant details regarding its development, specific training data, evaluation results, intended direct or downstream uses, and potential biases or limitations are currently marked as "More Information Needed." Therefore, specific performance metrics, unique capabilities, or recommended use cases beyond its architectural foundation and size cannot be determined from the available documentation. Users should be aware of these missing details when considering this model for specific applications.