---
license: apache-2.0
datasets:
- argilla/ultrafeedback-binarized-preferences-cleaned
language:
- en
base_model:
- mistralai/Mistral-7B-v0.1
library_name: transformers
tags:
- transformers
---

# Introduction:

ElEmperador is an ORPO finetinue derived from the Mistral-7B-v0.1 base model.

### Inference Script:
---
def generate_response(model_name, input_text, max_new_tokens=50):
  
    tokenizer = AutoTokenizer.from_pretrained(model_name)
    model = AutoModelForCausalLM.from_pretrained(model_name)
    
  
    input_ids = tokenizer(input_text, return_tensors='pt').input_ids
    
   
    with torch.no_grad():
        generated_ids = model.generate(input_ids, max_new_tokens=max_new_tokens)
    

    generated_text = tokenizer.decode(generated_ids[0], skip_special_tokens=True)
    
    return generated_text

if __name__ == "__main__":
    # Set the model name from Hugging Face Hub
    model_name = "AINovice2005/ElEmperador"  # Example model, you can change this to any other model
    input_text = "Hello, how are you?"

   
    output = generate_response(model_name, input_text)
    
    
    print(f"Input: {input_text}")
    print(f"Output: {output}")
---