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ToastyPigeon / nemo-kimi-kto
Model's Last Updated: August 05 2025
text-generation
Introduction of nemo-kimi-kto
Model Details of nemo-kimi-kto
Model Card for nemo-kimi-kto
This model is a fine-tuned version of allura-org/MN-Lyrebird-12B . 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="ToastyPigeon/nemo-kimi-kto", 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 KTO, a method introduced in KTO: Model Alignment as Prospect Theoretic Optimization .
Framework versions
- TRL: 0.18.2
- Transformers: 4.52.4
- Pytorch: 2.7.0
- Datasets: 3.6.0
- Tokenizers: 0.21.1
Citations
Cite KTO as:
@article{ethayarajh2024kto,
title = {{KTO: Model Alignment as Prospect Theoretic Optimization}},
author = {Kawin Ethayarajh and Winnie Xu and Niklas Muennighoff and Dan Jurafsky and Douwe Kiela},
year = 2024,
eprint = {arXiv:2402.01306},
}
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 ToastyPigeon nemo-kimi-kto on huggingface.co
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More Information About nemo-kimi-kto huggingface.co Model
Url of nemo-kimi-kto
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