metadata
base_model: Qwen/Qwen2.5-Math-7B-Instruct
datasets: mlfoundations-dev/putnam_bench_r1
library_name: transformers
model_name: Tars
tags:
- generated_from_trainer
- reward-trainer
- trl
licence: license
Model Card for Tars
This model is a fine-tuned version of Qwen/Qwen2.5-Math-7B-Instruct on the mlfoundations-dev/putnam_bench_r1 dataset. It has been trained using TRL.
Quick start
from transformers import pipeline
text = "The capital of France is Paris."
rewarder = pipeline(model="dkjo8/Tars", device="cuda")
output = rewarder(text)[0]
print(output["score"])
Training procedure
This model was trained with Reward.
Framework versions
- TRL: 1.5.1
- Transformers: 5.9.0
- Pytorch: 2.12.0
- Datasets: 4.8.5
- Tokenizers: 0.22.2
Citations
Cite TRL as:
@software{vonwerra2020trl,
title = {{TRL: Transformers Reinforcement Learning}},
author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
license = {Apache-2.0},
url = {https://github.com/huggingface/trl},
year = {2020}
}