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---
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license: mit
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datasets:
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- sxiong/SWAP_v2
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language:
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- en
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base_model:
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- meta-llama/Meta-Llama-3-8B-Instruct
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---
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# **Model Card for SWAP_LLM_v2**
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**SWAP_LLM_v2** is a suite of supervised fine-tuned models developed for **multi-step reasoning** with large language models (LLMs).
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The framework encompasses two primary components: **generator** and **discriminator**.
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## **Model Details**
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### **Generator**
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* **Base Model:** `meta-llama/Meta-Llama-3-8B-Instruct`
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* **LoRA Configuration:**
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* `lora_alpha`: 32
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* `r`: 16
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* `target_modules`: `["up_proj", "down_proj", "gate_proj", "q_proj","k_proj", "v_proj", "o_proj"]`
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* `bias`: `"none"`
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For additional information and implementation details, please refer to the [SWAP GitHub repository](https://github.com/xiongsiheng/SWAP).
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## Citation
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```
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@inproceedings{xiong-etal-2025-deliberate,
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title = "Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model",
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author = "Xiong, Siheng and
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Payani, Ali and
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Yang, Yuan and
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Fekri, Faramarz",
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editor = "Che, Wanxiang and
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Nabende, Joyce and
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Shutova, Ekaterina and
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Pilehvar, Mohammad Taher",
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booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
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month = jul,
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year = "2025",
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address = "Vienna, Austria",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2025.acl-long.1540/",
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doi = "10.18653/v1/2025.acl-long.1540",
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pages = "31900--31931",
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ISBN = "979-8-89176-251-0"
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}
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``` |
