Bohdi is a novel framework for heterogeneous Large Language Model (LLM) fusion that integrates the strengths of multiple source LLMs into a target LLM through adaptive knowledge exploration and automatic data generation. Unlike existing methods that rely on real data from limited domains and use fixed data allocation proportions, Bohdi dynamically adjusts sampling based on the target LLM's performance and generates data automatically through a hierarchical knowledge tree structure. This ensures comprehensive domain coverage and balanced capability enhancement without the need for real data. Our github page is Bohdi.

✨ Features

🚀 Synthetic-Data-Only Fusion: Bohdi operates without relying on real data, making it highly efficient and versatile.

🌳 Dynamic Domain Exploration: Through the hierarchical knowledge tree and Sprout/Harvest operations, Bohdi explores new domains and generates data automatically.

🔄 Adaptive Data Allocation: The DynaBranches mechanism with IR ensures dynamic adjustment of data sampling proportions based on the target LLM’s capabilities.

⚙️ Installation

Main Environment for Distillation

conda env create -f environment_Bohdi.yaml

Environment for Evaluation

conda env create -f opencompass_env.yaml

Preparation for Evaluation Suite

bash

# The version we used: opencompass 0.3.4
git clone https://github.com/open-compass/opencompass opencompass
cd opencompass
pip install -e .

⏳ Distillation Training

To train the target LLM using Bohdi, follow these steps:

Prepare Source LLMs: Ensure you have access to the source LLMs you want to fuse. If you want to follow our setup, please download the following models:
Python
1# Source Models 2Qwen/Qwen2.5-14B-Instruct 3mistralai/Mistral-Small-24B-Instruct-2501 4microsoft/phi-4 5# Target Models 6meta-llama/Llama-3.2-3B-Instruct 7meta-llama/Llama-3.1-8B-Instruct 8Qwen/Qwen2.5-7B-Instruct 9google/gemma-2-9b-it
Run Bohdi For Distillation Please first configure the relevant paths in run_bohdi.sh according to your actual paths, and then run:
bash
1source activate bohdi 2cd your project path 3bash run_bohdi.sh

📏 Evaluation

We use OpenCompass for evaluation and perform inference based on VLLM. To evaluate your model, please configure the relevant paths in eval_opencompass.sh according to your actual paths, and then run:

bash

source activate opencompass
cd your project path
bash eval_opencompass.sh

📚 Citation

@article{gao2025bohdi,
  title={Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration},
  author={Junqi Gao and Zhichang Guo and Dazhi Zhang and Dong Li and Runze Liu and Pengfei Li and Kai Tian and Biqing Qi},
  journal={arXiv preprint arXiv:2506.15721},
  year={2025},
  url={https://doi.org/10.48550/arXiv.2506.15721}
}

ChetKao/Bohdi-Qwen2.5-7B-Instruct

📄 Introduction

✨ Features

⚙️ Installation

⏳ Distillation Training

📏 Evaluation

📚 Citation

ChetKao/
Bohdi-Qwen2.5-7B-Instruct