--- license: apache-2.0 datasets: - openbmb/RLAIF-V-Dataset language: - en --- # Model Card for RLAIF-V [GitHub ](https://github.com/RLHF-V/RLAIF-V) **RLAIF-V-12B** is a multimodal large language model (MLLM) that exhibits **super GPT-4V trustworthiness**. The model is built up on OmniLMM from the [MiniCPM-V](https://github.com/OpenBMB/MiniCPM-V) series. We utilize a novel framework, [RLAIF-V](https://github.com/RLHF-V/RLAIF-V), which **aligns MLLMs in a fully open-source paradigm**. This framework maximally exploits the [open-source feedback](https://huggingface.co/datasets/HaoyeZhang/RLAIF-V-Dataset) from two key perspectives, including **high-quality feedback data** and an **online feedback learning algorithm**. ## Model Details ### Key Features * 🏅 **Super GPT-4V Trustworthiness**: By learning from open-source AI feedback, RLAIF-V-12B achieves super GPT-4V trustworthiness in both generative and discriminative tasks. * 💪 **Maintaining Well Performance on General Abilities**: On benchmarks tested with the general abilities (e.g. LLaVA Bench, MMStar), RLAIF-V-12B also exhibits good performance.

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### Examples

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### Model Description - **Related model:** [OmniLMM-12B](https://huggingface.co/openbmb/OmniLMM-12B) - **Trained on data:** [RLAIF-V-Dataset](https://huggingface.co/datasets/HaoyeZhang/RLAIF-V-Dataset)