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README.md
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---
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base_model: unsloth/Llama-3.2-1B-Instruct
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library_name: peft
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---
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# Model Card for PhysioMindAI-Llama3-Medical
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inputs = tokenizer(input_text, return_tensors="pt").to("cuda")
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output = model.generate(**inputs, max_new_tokens=100)
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print(tokenizer.decode(output[0], skip_special_tokens=True))
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---
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base_model: unsloth/Llama-3.2-1B-Instruct
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library_name: peft
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license: apache-2.0
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datasets:
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- >-
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huzaifa525/Medical_Intelligence_Dataset_40k_Rows_of_Disease_Info_Treatments_and_Medical_QA
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language:
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- en
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---
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# Model Card for PhysioMindAI-Llama3-Medical
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inputs = tokenizer(input_text, return_tensors="pt").to("cuda")
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output = model.generate(**inputs, max_new_tokens=100)
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print(tokenizer.decode(output[0], skip_special_tokens=True))
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