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sxiong
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Model Details
Model Provider
sxiong
Model Tree
meta-llama/Meta-Llama-3-8B-Instruct
Input Modalities
Output Modalities
Supported Functionality
meta-llama/Meta-Llama-3-8B-Instructr): 16q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj"none"python
from peft import PeftModelfrom transformers import AutoModelForCausalLM, AutoTokenizerbase_model_id = "meta-llama/Meta-Llama-3-8B-Instruct"adapter_id = "sxiong/SWAP_v2_MATH_Gen_Llama3-8B-LoRA"tokenizer = AutoTokenizer.from_pretrained(adapter_id)model = AutoModelForCausalLM.from_pretrained(base_model_id,torch_dtype=torch.bfloat16,device_map="auto",)model = PeftModel.from_pretrained(model, adapter_id)
For additional information and implementation details, please refer to the SWAP GitHub repository.
bibtex
@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}}