This model is a fine-tuned version of
Qwen/Qwen3-0.6B-Base.
It has been trained using
TRL.
Intended Use: Research on model diffing, preference fine-tuning, and evaluation of lightweight LLM behavior changes.
It was developed for use in the Model Diffing project of AI-Plans.
This model is a reward model and was trained using prompts with a chosen response >=3 only. It took about 1h 20mins with an A100(40 GB).
1@misc{vonwerra2022trl,
2 title = {{TRL: Transformer Reinforcement Learning}},
3 author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
4 year = 2020,
5 journal = {GitHub repository},
6 publisher = {GitHub},
7 howpublished = {\url{https://github.com/huggingface/trl}}
8}
