Model Card for lora_finetuned_gemma_model_for_Nepali_location_extractor

This model is a fine-tuned version of google/gemma-3-1b-pt. It has been trained using TRL.

Quick start

from transformers import pipeline

question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
generator = pipeline("text-generation", model="nabin2004/lora_finetuned_gemma_model_for_Nepali_location_extractor", 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 SFT.

Framework versions

• TRL: 0.15.2
• Transformers: 4.52.4
• Pytorch: 2.6.0+cu124
• Datasets: 3.3.2
• Tokenizers: 0.21.1