from transformers import pipeline

question = "नेपालको इतिहासमा मध्यकालीन अवधिका राजनीतिक, आर्थिक, सामाजिक र सांस्कृतिक परिवर्तनहरूको बारेमा संक्षिप्त वर्णन गर्नुहोस्।"
generator = pipeline("text-generation", model="praful1/Qwen-3-0.6-nepali-qa", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])

Training procedure

trained on praful1/NepaliQA-qa2 with completion only loss

this was trained for few minutes so it is not that good on free colab gpu

This model was trained with SFT.

Framework versions

TRL: 1.9.2
Transformers: 5.13.1
Pytorch: 2.11.0+cu128
Datasets: 5.0.1
Tokenizers: 0.22.2

Citations

Cite TRL as:

bibtex

@software{vonwerra2020trl,
  title   = {{TRL: Transformers Reinforcement Learning}},
  author  = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
  license = {Apache-2.0},
  url     = {https://github.com/huggingface/trl},
  year    = {2020}
}