README.md

metadata

license: mit
language:
  - en
base_model:
  - meta-llama/Meta-Llama-3-8B-Instruct
library_name: transformers

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")