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Vision-PairRM: Advancing RLHF with a Multimodal Vision-Based Reward Model

Installation

Clone the source code from GitHub:

git clone https://github.com/JeixHuang/Vision-PairRM.git
cd VPRM

Native Runner: Setup a conda environment using conda / mamba:

conda conda env create --file conda-recipe.yaml  # or `mamba env create --file conda-recipe.yaml`

This will automatically setup all dependencies.

Containerized Runner: Other than using the native machine with conda isolation, as an alternative, you can also use docker images to configure the environment.

Firstly, please follow NVIDIA Container Toolkit: Installation Guide and NVIDIA Docker: Installation Guide to setup nvidia-docker. Then you can run:

make docker-run

This command will build and start a docker container installed with proper dependencies. The host path / will be mapped to /host and the current working directory will be mapped to /workspace inside the container.

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