Model Card for Model ID

A 4-bit quantized, LoRA-adapted version of Meta's LLaMA 3 8B model, fine-tuned on the medalpaca/medical_meadow_medical_flashcards dataset for medical question-answering tasks. This model is optimized for efficient inference and training on hardware like NVIDIA A100 GPUs using BF16 precision.

Model Details

Base model: unsloth/llama-3-8b-bnb-4bit
Fine-tuned by: Sujit Shelar
Model type: Auto-regressive transformer (decoder-only)
Quantization: 4-bit NF4 via bitsandbytes
PEFT: LoRA (r=4, alpha=8, dropout=0.01)
Language: English
License: LLaMA 3 Community License

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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Model Sources [optional]

Repository: SujitShelar/llama3-medchat-8b-lora
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Uses

Direct Use

This model is intended for generating concise, accurate answers to medical questions, making it suitable for applications like:

Medical education tools

Clinical decision support systems

Healthcare chatbots

Medical flashcard applications

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Training Details

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Summary

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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