from transformers import pipeline

question = "Dark energy is"
generator = pipeline("text-generation", model="nuraisnura/Qwen3-0.6B-Cosmo", device="cuda")
output = generator(question, max_new_tokens=128, return_full_text=False)[0]
print(question + output["generated_text"])

Training procedure

Visualize in Weights & Biases

This model was trained with SFT.

Framework versions

TRL: 0.25.1
Transformers: 4.57.3
Pytorch: 2.9.0+cu126
Datasets: 4.0.0
Tokenizers: 0.22.1

Citations

Cite TRL as:

bibtex

@misc{vonwerra2022trl,
	title        = {{TRL: Transformer Reinforcement Learning}},
	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},
	year         = 2020,
	journal      = {GitHub repository},
	publisher    = {GitHub},
	howpublished = {\url{https://github.com/huggingface/trl}}
}