azherali/Qwen2.5-1.5B-Instruct-dpo

Model Card for qwen25-dpo

This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct. It has been trained using TRL.

Quick start

from transformers import pipeline

question = "Explain diabetes simply"
generator = pipeline("text-generation", model="azherali/Qwen2.5-1.5B-Instruct-dpo", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])

Training procedure

This model was trained with DPO, a method introduced in Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Framework versions

• TRL: 0.26.2
• Transformers: 4.57.3
• Pytorch: 2.8.0+cu126
• Datasets: 4.4.1
• Tokenizers: 0.22.1