---
pipeline_tag: text-generation
library_name: transformers
license: mit
---

# FETCH: Efficient Tree Search for LLM Reasoning

This repository contains model checkpoints for the FETCH framework, as described in the paper [Don't Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration Pitfalls](https://arxiv.org/abs/2502.11183).

The FETCH framework improves the efficiency and accuracy of LLM-based reasoning by addressing over-exploration and under-exploration issues in tree search algorithms.


Pre-trained models mentioned in the paper's README are available on Hugging Face Hub:

- **Policy:** [`xmu-nlp/Llama-3-8b-gsm8k`](https://huggingface.co/xmu-nlp/Llama-3-8b-gsm8k)
- **Verifier:** [`xmu-nlp/Llama-3-8b-gsm8k-value-A`](https://huggingface.co/xmu-nlp/Llama-3-8b-gsm8k-value-A) and [`xmu-nlp/Llama-3-8b-gsm8k-value-B`](https://huggingface.co/xmu-nlp/Llama-3-8b-gsm8k-value-B)
- **Embedding:** [`xmu-nlp/simcse-large-gsm8k`](https://huggingface.co/xmu-nlp/simcse-large-gsm8k)


For more details and usage instructions, please refer to the [GitHub repository](https://github.com/xmu-nlp/FETCH).