ishikaa/UAS_qwen7b_only_alpaca_minimax
The ishikaa/UAS_qwen7b_only_alpaca_minimax is a 7.6 billion parameter language model developed by ishikaa. This model is based on the Qwen architecture and has been fine-tuned using Alpaca and Minimax datasets. Its primary differentiator and use case are not explicitly detailed in the provided information, suggesting it may be a foundational or experimental model for general language tasks.
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Overview
This model, ishikaa/UAS_qwen7b_only_alpaca_minimax, is a 7.6 billion parameter language model. It is based on the Qwen architecture and has undergone fine-tuning with data from both the Alpaca and Minimax datasets. The model card indicates that it is a Hugging Face Transformers model, automatically generated, but lacks specific details regarding its development, funding, or explicit language support.
Key Characteristics
- Parameter Count: 7.6 billion parameters.
- Architecture: Based on the Qwen model family.
- Training Data: Fine-tuned using Alpaca and Minimax datasets.
- Context Length: Supports a context length of 32768 tokens.
Limitations and Usage
The provided model card does not specify direct use cases, downstream applications, or out-of-scope uses. It also lacks information on bias, risks, and limitations, recommending that users be aware of potential issues. Details on training data, procedures, evaluation metrics, and results are also marked as "More Information Needed." Therefore, its specific strengths, weaknesses, and optimal applications are not clearly defined, suggesting it may be a general-purpose or experimental model.