LLaMA 3 8B - ChatDoctor Model
Model Description
This is a fine-tuned version of the LLaMA 3 8B model. The model is fine-tuned on medical conversations to assist healthcare professionals and users in understanding medical-related queries. It’s designed for natural language understanding and generation, focusing on medical advice and diagnostics.
- Base Model: LLaMA 3 8B
- Fine-Tuned On: Medical QA dataset (or specify other datasets)
- Model Type: Causal Language Model (CLM)
Intended Use
This model is intended for generating conversational responses related to medical diagnostics, symptom analysis, or any medical-related inquiry. It is designed to assist in providing informative and preliminary medical guidance based on the fine-tuned datasets.
Use Cases:
- Medical chatbots.
- Healthcare consultation apps.
- Symptom analysis.
Limitations:
- Not a replacement for professional medical advice: The model is trained on limited datasets and should not be used as a standalone diagnostic tool.
- Language Bias: It may show biases based on the data it was trained on.
How to Use
from transformers import AutoModelForCausalLM, AutoTokenizer
# Load the fine-tuned model and tokenizer
model = AutoModelForCausalLM.from_pretrained("abhiyanta/llama-chatdoctor")
tokenizer = AutoTokenizer.from_pretrained("abhiyanta/llama-chatdoctor")
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Model tree for abhiyanta/Llama-chatDoctor
Base model
meta-llama/Meta-Llama-3-8B-Instruct