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Model: ruslanmv/Medical-Llama3-8B Source: Original Platform
2026-07-08 15:42:45 +08:00
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+---
+language: en
+license: apache-2.0
+tags:
+- text-generation-inference
+- transformers
+- ruslanmv
+- llama
+- trl
+- llama-3
+- instruct
+- finetune
+- chatml
+- DPO
+- RLHF
+- gpt4
+- distillation
+- heathcare
+- medical
+- clinical
+- med
+- lifescience
+- Pharmaceutical
+- Pharma
+base_model: meta-llama/Meta-Llama-3-8B
+datasets:
+- ruslanmv/ai-medical-chatbot
+
+model-index:
+- name: Medical-Llama3-8B
+  results: []
+widget:
+- example_title: Medical-Llama3-8B
+  messages:
+  - role: system
+    content: >-
+      You are an expert and experienced from the healthcare and biomedical
+      domain with extensive medical knowledge and practical experience.
+  - role: user
+    content: How long does it take for newborn jaundice to go away?
+  output:
+    text: >-
+      Newborn jaundice, also known as neonatal jaundice, is a common condition
+      in newborns where the yellowing of the skin and eyes occurs due to an
+      elevated level of bilirubin in the blood. Bilirubin is a yellow pigment
+      that forms when red blood cells break down. In most cases, newborn
+      jaundice resolves on its own without any specific treatment.
+      The duration of newborn jaundice can vary depending on several factors
+      such as the underlying cause, gestational age at birth, and individual
+      variations in bilirubin metabolism. Here are some general guidelines
+---
+
+# Medical-Llama3-8B-16bit: Fine-Tuned Llama3 for Medical Q&A
+[![](future.jpg)](https://ruslanmv.com/)
+This repository provides a fine-tuned version of the powerful Llama3 8B model, specifically designed to answer medical questions in an informative way. It leverages the rich knowledge contained in the AI Medical Chatbot dataset ([ruslanmv/ai-medical-chatbot](https://huggingface.co/datasets/ruslanmv/ai-medical-chatbot)).
+
+**Model & Development**
+
+- **Developed by:** ruslanmv
+- **License:** Apache-2.0
+- **Finetuned from model:** meta-llama/Meta-Llama-3-8B
+
+**Key Features**
+
+- **Medical Focus:** Optimized to address health-related inquiries.
+- **Knowledge Base:** Trained on a comprehensive medical chatbot dataset.
+- **Text Generation:** Generates informative and potentially helpful responses.
+
+**Installation**
+
+This model is accessible through the Hugging Face Transformers library. Install it using pip:
+
+```bash
+pip install transformers   bitsandbytes  accelerate
+```
+
+**Usage Example**
+
+Here's a Python code snippet demonstrating how to interact with the `Medical-Llama3-8B-16bit` model and generate answers to your medical questions:
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
+import torch
+model_name = "ruslanmv/Medical-Llama3-8B"
+device_map = 'auto'
+bnb_config = BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_quant_type="nf4",bnb_4bit_compute_dtype=torch.float16,)
+model = AutoModelForCausalLM.from_pretrained( model_name,quantization_config=bnb_config, trust_remote_code=True,use_cache=False,device_map=device_map)
+tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
+tokenizer.pad_token = tokenizer.eos_token
+
+def askme(question):
+    sys_message = ''' 
+    You are an AI Medical Assistant trained on a vast dataset of health information. Please be thorough and
+    provide an informative answer. If you don't know the answer to a specific medical inquiry, advise seeking professional help.
+    '''   
+    # Create messages structured for the chat template
+    messages = [{"role": "system", "content": sys_message}, {"role": "user", "content": question}]
+    
+    # Applying chat template
+    prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+    inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
+    outputs = model.generate(**inputs, max_new_tokens=100, use_cache=True)
+    
+    # Extract and return the generated text, removing the prompt
+    response_text = tokenizer.batch_decode(outputs)[0].strip()
+    answer = response_text.split('<|im_start|>assistant')[-1].strip()
+    return answer
+# Example usage
+# - Context: First describe your problem.
+# - Question: Then make the question.
+
+question = '''I'm a 35-year-old male and for the past few months, I've been experiencing fatigue, 
+increased sensitivity to cold, and dry, itchy skin. 
+Could these symptoms be related to hypothyroidism? 
+If so, what steps should I take to get a proper diagnosis and discuss treatment options?'''
+
+print(askme(question))
+
+```
+the type of answer is :
+```
+Based on your description, it sounds like you may be experiencing symptoms of hypothyroidism. 
+Hypothyroidism is a condition where the thyroid gland doesn't produce enough hormones, leading to a variety of symptoms. 
+Some common symptoms include fatigue, weight gain, constipation, and dry skin. 
+If you're experiencing any of these symptoms, it's important to see a doctor for a proper diagnosis and treatment plan. 
+Your doctor may order blood tests to check your thyroid hormone levels
+```
+**Important Note**
+
+This model is intended for informational purposes only and should not be used as a substitute for professional medical advice. Always consult with a qualified healthcare provider for any medical concerns.
+
+**License**
+
+This model is distributed under the Apache License 2.0 (see LICENSE file for details).
+
+**Contributing**
+
+We welcome contributions to this repository! If you have improvements or suggestions, feel free to create a pull request.
+
+**Disclaimer**
+
+While we strive to provide informative responses, the accuracy of the model's outputs cannot be guaranteed. It is crucial to consult a doctor or other healthcare professional for definitive medical advice.
+```