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sxiong/SWAP_v1_GSM8K_Gen_Llama3-8B
SWAP_v1_GSM8K_Gen_Llama3-8B is a machine learning model from sxiong. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This repository contains the GSM8K generator (Llama3-8B) trained with SWAPv1.
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From the Hugging Face model README
This repository contains the GSM8K generator (Llama3-8B) trained with SWAP_v1.
from transformers import AutoModelForCausalLM, AutoTokenizer
base_model_id = "sxiong/SWAP_v1_GSM8K_Gen_Llama3-8B"
tokenizer = AutoTokenizer.from_pretrained(base_model_id)
model = AutoModelForCausalLM.from_pretrained(
base_model_id,
torch_dtype=torch.bfloat16,
device_map="auto",
)
For additional information and implementation details, please refer to the SWAP GitHub repository.
@inproceedings{xiong2025deliberate,
title={Deliberate reasoning in language models as structure-aware planning with an accurate world model},
author={Xiong, Siheng and Payani, Ali and Yang, Yuan and Fekri, Faramarz},
booktitle={Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
pages={31900--31931},
year={2025}
}