Modelpublic

AmirMohseni/skywork-reward-v2-llama-3.1-8b-rank256-eduarena-all-data-lmarena-all-data

sourceHugging Faceupdated 11mo agoView on Hugging Face

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Model Card

Model Card for skywork-reward-v2-llama-3.1-8b-rank256-eduarena-all-data-lmarena-all-data

This model is a fine-tuned version of Skywork/Skywork-Reward-V2-Llama-3.1-8B. It has been trained using TRL.

Quick start

python

from transformers import pipeline

text = "The capital of France is Paris."
rewarder = pipeline(model="AmirMohseni/skywork-reward-v2-llama-3.1-8b-rank256-eduarena-all-data-lmarena-all-data", device="cuda")
output = rewarder(text)[0]
print(output["score"])

Training procedure

This model was trained with Reward.

Framework versions

—TRL: 0.24.0
—Transformers: 4.57.1
—Pytorch: 2.8.0
—Datasets: 4.3.0
—Tokenizers: 0.22.1

Citations

Cite TRL as:

bibtex

@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}}
}