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igorktech / outputs
Model's Last Updated: October 29 2025
Introduction of outputs
Model Details of outputs
Model Card for outputs
This model is a fine-tuned version of unsloth/Llama-3.2-1B-Instruct . 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="igorktech/outputs", 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: 0.23.0
- Transformers: 4.56.2
- Pytorch: 2.9.0a0+git1c57644
- Datasets: 4.3.0
- Tokenizers: 0.22.1
Citations
Cite TRL as:
@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}}
}
Runs of igorktech outputs on huggingface.co
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More Information About outputs huggingface.co Model
Url of outputs
outputs huggingface.co Url
Provider of outputs huggingface.co
Other API from igorktech
Updated:September 16 2026
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