Text-generation Finetuned models
Collection
2 items • Updated
This model is a fine-tuned version of openai/gpt-oss-20b on the rohitdiwane/gpt-oss-20b-medical-qa dataset. It has been trained using TRL.
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="rohitdiwane/gpt-oss-20b-medical-qa", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])
This model was trained with SFT.
Base model
openai/gpt-oss-20b