MedGemma_FineTuned by Aakash010 is a 4.3 billion parameter language model, fine-tuned from the Gemma architecture. This model is designed for specialized applications, leveraging its fine-tuned nature to potentially excel in specific domains. With a context length of 32768 tokens, it supports processing extensive inputs for detailed analysis.
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