Mistral 7B V0.2 Meditron Turkish

🚀 Mistral-7B-v0.2-meditron-turkish

Mistral-7B-v0.2-meditron-turkish is a fine - tuned model that can answer medical information in Turkish and English, leveraging the Turkish Meditron dataset.

🚀 Quick Start

Use the following code sample to interact with the model:

from transformers import AutoTokenizer,AutoModelForCausalLM
 
model_id = "malhajar/Mistral-7B-v0.2-meditron-turkish"
model = AutoModelForCausalLM.from_pretrained(model_name_or_path,
                                             device_map="auto",
                                             torch_dtype=torch.float16,
                                             revision="main")

tokenizer = AutoTokenizer.from_pretrained(model_id)

question: "Akciğer kanseri nedir?"
# For generating a response
prompt = '''
### Kullancı:
{question} 
'''
input_ids = tokenizer(prompt, return_tensors="pt").input_ids
output = model.generate(inputs=input_ids,max_new_tokens=512,pad_token_id=tokenizer.eos_token_id,top_k=50, do_sample=True,
        top_p=0.95)
response = tokenizer.decode(output[0])

print(response)

✨ Features

• Multilingual Support: This model can answer medical information in both Turkish and English.
• Fine - Tuned on Medical Data: It is fine - tuned on the Turkish Meditron dataset, enabling it to handle medical queries effectively.

📚 Documentation

Model Description

• Finetuned by: Mohamad Alhajar
• Language(s) (NLP): Turkish, English
• Finetuned from model: mistralai/Mistral-7B-Instruct-v0.2

Prompt Template For Turkish Generation

### Kullancı:

Prompt Template For English Generation

### User:

📄 License

This model is licensed under the Apache - 2.0 license.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Model Index