ishikaa/acquisition_student_medmcqa_diversity_sft_qwen14b
The ishikaa/acquisition_student_medmcqa_diversity_sft_qwen14b is a 14.8 billion parameter language model with a context length of 32768 tokens. This model is a fine-tuned version of a base model, though specific details on its architecture, training data, and primary use case are not provided in the available documentation. Further information is needed to determine its unique capabilities or differentiators compared to other models.
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Model Overview
The ishikaa/acquisition_student_medmcqa_diversity_sft_qwen14b is a 14.8 billion parameter language model with a substantial context length of 32768 tokens. This model has been pushed to the Hugging Face Hub as a fine-tuned transformer model.
Key Characteristics
- Parameter Count: 14.8 billion parameters.
- Context Length: Supports a context window of 32768 tokens.
- Model Type: A fine-tuned transformer model, though the base model and specific fine-tuning objectives are not detailed in the current documentation.
Information Needed
Currently, the model card indicates that significant information is needed regarding its development, funding, specific model type, language(s), license, and the base model it was fine-tuned from. Details on its intended direct and downstream uses, as well as potential biases, risks, limitations, and training specifics (data, procedure, hyperparameters, evaluation) are also pending. Users should be aware that without this information, the model's specific capabilities, optimal use cases, and performance characteristics remain largely undefined.