# Awesome-Multimodal-Large-Language-Models **Repository Path**: kangchi/Awesome-Multimodal-Large-Language-Models ## Basic Information - **Project Name**: Awesome-Multimodal-Large-Language-Models - **Description**: ............................................. - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: Evaluation - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 1 - **Created**: 2023-08-12 - **Last Updated**: 2025-07-08 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models > Multimodal Large Language Model (MLLM) relies on the powerful LLM to perform multimodal tasks, showing amazing emergent abilities in recent studies, such as writing poems based on an image. However, it is difficult for these case studies to fully reflect the performance of MLLM, lacking a comprehensive evaluation. In this paper, we fill in this blank, presenting the first MLLM Evaluation benchmark MME. It measures both perception and cognition abilities on a total of 14 subtasks. In order to avoid data leakage that may arise from direct use of public datasets for evaluation, the annotations of instruction-answer pairs are all manually designed. The concise instruction design allows us to fairly compare MLLMs, instead of struggling in prompt engineering. Besides, with such an instruction, we can also easily carry out quantitative statistics. A total of 16 advanced MLLMs are comprehensively evaluated on our MME, which not only suggests that existing MLLMs still have a large room for improvement, but also reveals the potential directions for the subsequent model optimization. ## Our MLLM works 🔥🔥🔥 **A Survey on Multimodal Large Language Models** **[Project Page](https://github.com/BradyFU/Awesome-Multimodal-Large-Language-Models)** | **[Paper](https://arxiv.org/pdf/2306.13549.pdf)** A curated list of Multimodal Large Language Models (MLLMs), including datasets, multimodal instruction tuning, multimodal in-context learning, multimodal chain-of-thought, llm-aided visual reasoning, foundation models, and others. This list will be updated in real time. :sparkles: Welcome to join our WeChat group of MLLM communication! Please add WeChat ID (xjtupanda) to join the group. :star2: --- 🔥🔥🔥 **MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models** **[Project Page [Leaderboards]](https://github.com/BradyFU/Awesome-Multimodal-Large-Language-Models/tree/Evaluation)** | **[Paper](https://arxiv.org/pdf/2306.13394.pdf)** Leaderboards of **16** advanced MLLMs, including [**BLIP-2**](https://arxiv.org/pdf/2301.12597.pdf), [**InstructBLIP**](https://arxiv.org/pdf/2305.06500.pdf), [**LLaVA**](https://arxiv.org/pdf/2304.08485.pdf), [**MiniGPT-4**](https://arxiv.org/pdf/2304.10592.pdf), [**mPLUG-Owl**](https://arxiv.org/pdf/2304.14178.pdf), [**LLaMA-Adapter V2**](https://arxiv.org/pdf/2304.15010.pdf), [**ImageBind_LLM**](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main), [**Otter**](https://arxiv.org/pdf/2305.03726.pdf), [**VisualGLM-6B**](https://github.com/THUDM/VisualGLM-6B), [**Multimodal-GPT**](https://arxiv.org/pdf/2305.04790.pdf), [**PandaGPT**](https://arxiv.org/pdf/2305.16355.pdf), [**VPGTrans**](https://arxiv.org/pdf/2305.01278.pdf), [**LaVIN**](https://arxiv.org/pdf/2305.15023.pdf), [**Lynx**](https://arxiv.org/pdf/2307.02469.pdf), [**Octopus**](https://5e517712ad3e493895.gradio.live/), and [**LRV-Instruction**](https://arxiv.org/pdf/2306.14565.pdf). If you want to add your model in our leaderboards, please feel free to email bradyfu24@gmail.com. We will update the leaderboards in time. :sparkles:
Download MME :star2::star2: The benchmark dataset is collected by Xiamen University for academic research only. You can email guilinli@stu.xmu.edu.cn to obtain the dataset, according to the following requirement. **Requirement**: A real-name system is encouraged for better academic communication. Your email suffix needs to match your affiliation, such as xx@stu.xmu.edu.cn and Xiamen University. Otherwise, you need to explain why. Please include the information bellow when sending your application email. ``` Name: (tell us who you are.) Affiliation: (the name/url of your university or company) Job Title: (e.g., professor, PhD, and researcher) Email: (your email address) How to use: (only for non-commercial use) ```
If you find our projects helpful to your research, please cite the following papers: ``` @article{yin2023survey, title={A Survey on Multimodal Large Language Models}, author={Yin, Shukang and Fu, Chaoyou and Zhao, Sirui and Li, Ke and Sun, Xing and Xu, Tong and Chen, Enhong}, journal={arXiv preprint arXiv:2306.13549}, year={2023} } @article{fu2023mme, title={MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models}, author={Fu, Chaoyou and Chen, Peixian and Shen, Yunhang and Qin, Yulei and Zhang, Mengdan and Lin, Xu and Qiu, Zhenyu and Lin, Wei and Yang, Jinrui and Zheng, Xiawu and Li, Ke and Sun, Xing and Ji, Rongrong}, journal={arXiv preprint arXiv:2306.13394}, year={2023} } ``` --- # News 🚀 **[2023-08]** 1. [08-08] Thanks to [**Fuxiao Liu**](https://github.com/FuxiaoLiu), we add [**LRV-Instruction**](https://github.com/FuxiaoLiu/LRV-Instruction) to our leaderboards. 🔥🔥 **[2023-07]** 1. [07-28] Thanks to [**Yingzi Ma**](https://gray311.github.io/), his work [**Octopus**](https://5e517712ad3e493895.gradio.live/) has been updated to our leaderboards. 🔥🔥 2. [07-15] Thanks to [**Jiani Zheng**](https://github.com/Garlicisnotmyfavor), our leaderboards welcome a new member [**Lynx**](https://github.com/bytedance/lynx-llm). 🔥🔥 3. [07-12] Thanks to [**Ao Zhang**](https://github.com/waxnkw), his work [**VPGTrans**](https://github.com/VPGTrans/VPGTrans) has been added in our leaderboards. 🔥🔥 4. [07-09] Thanks to [**Bo Li**](https://github.com/Luodian), we have updated the evaluation of his work [**Otter**](https://github.com/Luodian/Otter). It uses the latest model [**OTTER-Image-MPT7B**](https://huggingface.co/luodian/OTTER-Image-MPT7B) that incoporates OpenFlamingv2 and enhances instruction following ability. 🔥🔥 **[2023-06]** 1. [06-30] Thanks to [**Renrui Zhang**](https://github.com/ZrrSkywalker), we have updated the evaluation of his two works, i.e., [**LLaMA-Adapter V2**](https://github.com/OpenGVLab/LLaMA-Adapter) and [**ImageBind_LLM**](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/imagebind_LLM). The former is re-evaluated after changing the model [**weights**](https://github.com/OpenGVLab/LLaMA-Adapter/releases/download/v.2.0.0/7fa55208379faf2dd862565284101b0e4a2a72114d6490a95e432cf9d9b6c813_BIAS-7B.pth), and the latter is a newly added MLLM. 🔥🔥 2. [06-30] Thanks to [**Gen Luo**](https://github.com/luogen1996), we have added the evaluation of his work [**LaVIN**](https://github.com/luogen1996/LaVIN). 🔥🔥 3. [06-30] The results of other models have also been updated, retrieving the answer from the beginning of the generated responses instead of the whole responses. [**An automated evaluation script**](https://github.com/BradyFU/Awesome-Multimodal-Large-Language-Models/blob/Evaluation/tools/eval_tool.zip) for the calculation of scores has been released! --- # Evaluation Results The top 5 on the perception and cognition leaderboards: # Evaluation Leaderboards ---
Table of Leaderboards
- [Perception](#perception) - [Existence](#existence) | [Count](#count) | [Position](#position) | [Color](#color) | [Poster](#poster) | [Celebrity](#celebrity) | [Scene](#scene) | [Landmark](#landmark) | [Artwork](#artwork) | [OCR](#ocr) - [Cognition](#cognition) - [Commonsense Reasoning](#commonsense-reasoning) | [Numerical Calculation](#numerical-calculation) | [Text Translation](#text-translation) | [Code Reasoning](#code-reasoning) --- ## Perception Sum of the scores of all perception subtasks, including existence, count, position, color, poster, celebrity, scene, landmark, artwork, and OCR. The full score of each subtask is 200, and that of all perception is 2000. | Rank | Model | Version | Score | | :--: | :----------------------------------------------------------: | :----------------------------------------------------------: | :---------: | | 🏅️ | **[Lynx](https://arxiv.org/pdf/2307.02469.pdf)** | **[vicuna-7b](https://github.com/bytedance/lynx-llm)** | **1373.23** | | 🥈 | **[Cheetor](https://arxiv.org/pdf/2308.04152.pdf)** | **[vicuna-7b](https://github.com/DCDmllm/Cheetah)** | **1299.96** | | 🥉 | **[LRV-Instruction](https://arxiv.org/pdf/2306.14565.pdf)** | **[LRV-7B](https://github.com/FuxiaoLiu/LRV-Instruction)** | **1298.78** | | 4 | [BLIP-2](https://arxiv.org/pdf/2301.12597.pdf) | [blip2-pretrain-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/blip2) | 1293.84 | | 5 | [Otter](https://arxiv.org/pdf/2305.03726.pdf) | [OTTER-Image-MPT7B](https://github.com/Luodian/Otter) | 1292.26 | | 6 | [InstructBLIP](https://arxiv.org/pdf/2305.06500.pdf) | [blip2-instruct-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/instructblip) | 1212.82 | | 7 | [Octopus](https://5e517712ad3e493895.gradio.live/) | MPT7B | 1095.76 | | 8 | [LLaMA-Adapter V2](https://arxiv.org/pdf/2304.15010.pdf) | [LLaMAv2-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/llama_adapter_v2_multimodal) | 972.67 | | 9 | [mPLUG-Owl](https://arxiv.org/pdf/2304.14178.pdf) | [mplug-owl-llama-7b](https://huggingface.co/MAGAer13/mplug-owl-llama-7b) | 967.34 | | 10 | [LaVIN](https://arxiv.org/pdf/2305.15023.pdf) | [LAVIN-13B](https://github.com/luogen1996/LaVIN) | 963.60 | | 11 | [MiniGPT-4](https://arxiv.org/pdf/2304.10592.pdf) | [minigpt4-aligned-with-vicuna13b](https://github.com/Vision-CAIR/MiniGPT-4) | 866.57 | | 12 | [VPGTrans](https://arxiv.org/pdf/2305.01278.pdf) | [vl-vicuna-7b](https://github.com/VPGTrans/VPGTrans) | 790.45 | | 13 | [ImageBind_LLM](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main) | [imagebind_LLM-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/imagebind_LLM) | 775.77 | | 14 | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | 705.31 | | 15 | [Multimodal-GPT](https://arxiv.org/pdf/2305.04790.pdf) | [Multimodal-GPT-9B](https://github.com/open-mmlab/Multimodal-GPT) | 654.72 | | 16 | [PandaGPT](https://arxiv.org/pdf/2305.16355.pdf) | [pandagpt-7b-max-len-512](https://github.com/yxuansu/PandaGPT) | 642.59 | | 17 | [LLaVA](https://arxiv.org/pdf/2304.08485.pdf) | [LLaVA-7B-v0](https://github.com/haotian-liu/LLaVA) | 502.82 | ### Existence | Rank | Model | Version | Score | | :--: | :----------------------------------------------------------: | :----------------------------------------------------------: | :--------: | | 🏅️ | **[Otter](https://arxiv.org/pdf/2305.03726.pdf)** | **[OTTER-Image-MPT7B](https://github.com/Luodian/Otter)** | **195.00** | | 🏅️ | **[Lynx](https://arxiv.org/pdf/2307.02469.pdf)** | **[vicuna-7b](https://github.com/bytedance/lynx-llm)** | **195.00** | | 🥈 | **[InstructBLIP](https://arxiv.org/pdf/2305.06500.pdf)** | **[blip2-instruct-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/instructblip)** | **185.00** | | 🥈 | **[LaVIN](https://arxiv.org/pdf/2305.15023.pdf)** | **[LAVIN-13B](https://github.com/luogen1996/LaVIN)** | **185.00** | | 🥉 | **[Octopus](https://5e517712ad3e493895.gradio.live/)** | **MPT7B** | **180.00** | | 🥉 | **[Cheetor](https://arxiv.org/pdf/2308.04152.pdf)** | **[vicuna-7b](https://github.com/DCDmllm/Cheetah)** | **180.00** | | 4 | [LRV-Instruction](https://arxiv.org/pdf/2306.14565.pdf) | [LRV-7B](https://github.com/FuxiaoLiu/LRV-Instruction) | 165.00 | | 5 | [BLIP-2](https://arxiv.org/pdf/2301.12597.pdf) | [blip2-pretrain-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/blip2) | 160.00 | | 6 | [ImageBind_LLM](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main) | [imagebind_LLM-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/imagebind_LLM) | 128.33 | | 7 | [mPLUG-Owl](https://arxiv.org/pdf/2304.14178.pdf) | [mplug-owl-llama-7b](https://huggingface.co/MAGAer13/mplug-owl-llama-7b) | 120.00 | | 7 | [LLaMA-Adapter V2](https://arxiv.org/pdf/2304.15010.pdf) | [LLaMAv2-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/llama_adapter_v2_multimodal) | 120.00 | | 8 | [MiniGPT-4](https://arxiv.org/pdf/2304.10592.pdf) | [minigpt4-aligned-with-vicuna13b](https://github.com/Vision-CAIR/MiniGPT-4) | 115.00 | | 9 | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | 85.00 | | 10 | [PandaGPT](https://arxiv.org/pdf/2305.16355.pdf) | [pandagpt-7b-max-len-512](https://github.com/yxuansu/PandaGPT) | 70.00 | | 10 | [VPGTrans](https://arxiv.org/pdf/2305.01278.pdf) | [vl-vicuna-7b](https://github.com/VPGTrans/VPGTrans) | 70.00 | | 11 | [Multimodal-GPT](https://arxiv.org/pdf/2305.04790.pdf) | [Multimodal-GPT-9B](https://github.com/open-mmlab/Multimodal-GPT) | 61.67 | | 12 | [LLaVA](https://arxiv.org/pdf/2304.08485.pdf) | [LLaVA-7B-v0](https://github.com/haotian-liu/LLaVA) | 50.00 | ### Count | Rank | Model | Version | Score | | :--: | :----------------------------------------------------------: | :----------------------------------------------------------: | :--------: | | 🏅️ | **[Lynx](https://arxiv.org/pdf/2307.02469.pdf)** | **[vicuna-7b](https://github.com/bytedance/lynx-llm)** | **151.67** | | 🥈 | **[InstructBLIP](https://arxiv.org/pdf/2305.06500.pdf)** | **[blip2-instruct-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/instructblip)** | **143.33** | | 🥉 | **[BLIP-2](https://arxiv.org/pdf/2301.12597.pdf)** | **[blip2-pretrain-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/blip2)** | **135.00** | | 4 | [MiniGPT-4](https://arxiv.org/pdf/2304.10592.pdf) | [minigpt4-aligned-with-vicuna13b](https://github.com/Vision-CAIR/MiniGPT-4) | 123.33 | | 5 | [LRV-Instruction](https://arxiv.org/pdf/2306.14565.pdf) | [LRV-7B](https://github.com/FuxiaoLiu/LRV-Instruction) | 111.67 | | 6 | [Cheetor](https://arxiv.org/pdf/2308.04152.pdf) | [vicuna-7b](https://github.com/DCDmllm/Cheetah) | 96.67 | | 7 | [Otter](https://arxiv.org/pdf/2305.03726.pdf) | [OTTER-Image-MPT7B](https://github.com/Luodian/Otter) | 88.33 | | 7 | [LaVIN](https://arxiv.org/pdf/2305.15023.pdf) | [LAVIN-13B](https://github.com/luogen1996/LaVIN) | 88.33 | | 8 | [VPGTrans](https://arxiv.org/pdf/2305.01278.pdf) | [vl-vicuna-7b](https://github.com/VPGTrans/VPGTrans) | 85.00 | | 9 | [ImageBind_LLM](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main) | [imagebind_LLM-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/imagebind_LLM) | 60.00 | | 10 | [Multimodal-GPT](https://arxiv.org/pdf/2305.04790.pdf) | [Multimodal-GPT-9B](https://github.com/open-mmlab/Multimodal-GPT) | 55.00 | | 11 | [Octopus](https://5e517712ad3e493895.gradio.live/) | MPT7B | 53.33 | | 12 | [mPLUG-Owl](https://arxiv.org/pdf/2304.14178.pdf) | [mplug-owl-llama-7b](https://huggingface.co/MAGAer13/mplug-owl-llama-7b) | 50.00 | | 12 | [LLaMA-Adapter V2](https://arxiv.org/pdf/2304.15010.pdf) | [LLaMAv2-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/llama_adapter_v2_multimodal) | 50.00 | | 12 | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | 50.00 | | 12 | [PandaGPT](https://arxiv.org/pdf/2305.16355.pdf) | [pandagpt-7b-max-len-512](https://github.com/yxuansu/PandaGPT) | 50.00 | | 12 | [LLaVA](https://arxiv.org/pdf/2304.08485.pdf) | [LLaVA-7B-v0](https://github.com/haotian-liu/LLaVA) | 50.00 | ### Position | Rank | Model | Version | Score | | :--: | :----------------------------------------------------------: | :----------------------------------------------------------: | :-------: | | 🏅️ | **[Lynx](https://arxiv.org/pdf/2307.02469.pdf)** | **[vicuna-7b](https://github.com/bytedance/lynx-llm)** | **90.00** | | 🥈 | **[Otter](https://arxiv.org/pdf/2305.03726.pdf)** | **[OTTER-Image-MPT7B](https://github.com/Luodian/Otter)** | **86.67** | | 🥈 | **[LRV-Instruction](https://arxiv.org/pdf/2306.14565.pdf)** | **[LRV-7B](https://github.com/FuxiaoLiu/LRV-Instruction)** | **86.67** | | 🥉 | **[MiniGPT-4](https://arxiv.org/pdf/2304.10592.pdf)** | **[minigpt4-aligned-with-vicuna13b](https://github.com/Vision-CAIR/MiniGPT-4)** | **81.67** | | 4 | [Cheetor](https://arxiv.org/pdf/2308.04152.pdf) | [vicuna-7b](https://github.com/DCDmllm/Cheetah) | 80.00 | | 5 | [BLIP-2](https://arxiv.org/pdf/2301.12597.pdf) | [blip2-pretrain-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/blip2) | 73.33 | | 6 | [InstructBLIP](https://arxiv.org/pdf/2305.06500.pdf) | [blip2-instruct-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/instructblip) | 66.67 | | 7 | [LaVIN](https://arxiv.org/pdf/2305.15023.pdf) | [LAVIN-13B](https://github.com/luogen1996/LaVIN) | 63.33 | | 7 | [VPGTrans](https://arxiv.org/pdf/2305.01278.pdf) | [vl-vicuna-7b](https://github.com/VPGTrans/VPGTrans) | 63.33 | | 8 | [Multimodal-GPT](https://arxiv.org/pdf/2305.04790.pdf) | [Multimodal-GPT-9B](https://github.com/open-mmlab/Multimodal-GPT) | 58.33 | | 9 | [mPLUG-Owl](https://arxiv.org/pdf/2304.14178.pdf) | [mplug-owl-llama-7b](https://huggingface.co/MAGAer13/mplug-owl-llama-7b) | 50.00 | | 9 | [PandaGPT](https://arxiv.org/pdf/2305.16355.pdf) | [pandagpt-7b-max-len-512](https://github.com/yxuansu/PandaGPT) | 50.00 | | 9 | [LLaVA](https://arxiv.org/pdf/2304.08485.pdf) | [LLaVA-7B-v0](https://github.com/haotian-liu/LLaVA) | 50.00 | | 10 | [Octopus](https://5e517712ad3e493895.gradio.live/) | MPT7B | 48.33 | | 11 | [LLaMA-Adapter V2](https://arxiv.org/pdf/2304.15010.pdf) | [LLaMAv2-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/llama_adapter_v2_multimodal) | 48.33 | | 11 | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | 48.33 | | 12 | [ImageBind_LLM](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main) | [imagebind_LLM-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/imagebind_LLM) | 46.67 | ### Color | Rank | Model | Version | Score | | :--: | :----------------------------------------------------------: | :----------------------------------------------------------: | :--------: | | 🏅️ | **[Lynx](https://arxiv.org/pdf/2307.02469.pdf)** | **[vicuna-7b](https://github.com/bytedance/lynx-llm)** | **170.00** | | 🥈 | **[LRV-Instruction](https://arxiv.org/pdf/2306.14565.pdf)** | **[LRV-7B](https://github.com/FuxiaoLiu/LRV-Instruction)** | **165.00** | | 🥉 | **[InstructBLIP](https://arxiv.org/pdf/2305.06500.pdf)** | **[blip2-instruct-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/instructblip)** | **153.33** | | 4 | [BLIP-2](https://arxiv.org/pdf/2301.12597.pdf) | [blip2-pretrain-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/blip2) | 148.33 | | 5 | [Cheetor](https://arxiv.org/pdf/2308.04152.pdf) | [vicuna-7b](https://github.com/DCDmllm/Cheetah) | 116.67 | | 6 | [Otter](https://arxiv.org/pdf/2305.03726.pdf) | [OTTER-Image-MPT7B](https://github.com/Luodian/Otter) | 113.33 | | 7 | [MiniGPT-4](https://arxiv.org/pdf/2304.10592.pdf) | [minigpt4-aligned-with-vicuna13b](https://github.com/Vision-CAIR/MiniGPT-4) | 110.00 | | 8 | [Octopus](https://5e517712ad3e493895.gradio.live/) | MPT7B | 103.33 | | 9 | [LLaMA-Adapter V2](https://arxiv.org/pdf/2304.15010.pdf) | [LLaMAv2-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/llama_adapter_v2_multimodal) | 75.00 | | 9 | [LaVIN](https://arxiv.org/pdf/2305.15023.pdf) | [LAVIN-13B](https://github.com/luogen1996/LaVIN) | 75.00 | | 10 | [ImageBind_LLM](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main) | [imagebind_LLM-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/imagebind_LLM) | 73.33 | | 10 | [VPGTrans](https://arxiv.org/pdf/2305.01278.pdf) | [vl-vicuna-7b](https://github.com/VPGTrans/VPGTrans) | 73.33 | | 11 | [Multimodal-GPT](https://arxiv.org/pdf/2305.04790.pdf) | [Multimodal-GPT-9B](https://github.com/open-mmlab/Multimodal-GPT) | 68.33 | | 12 | [mPLUG-Owl](https://arxiv.org/pdf/2304.14178.pdf) | [mplug-owl-llama-7b](https://huggingface.co/MAGAer13/mplug-owl-llama-7b) | 55.00 | | 12 | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | 55.00 | | 12 | [LLaVA](https://arxiv.org/pdf/2304.08485.pdf) | [LLaVA-7B-v0](https://github.com/haotian-liu/LLaVA) | 55.00 | | 13 | [PandaGPT](https://arxiv.org/pdf/2305.16355.pdf) | [pandagpt-7b-max-len-512](https://github.com/yxuansu/PandaGPT) | 50.00 | ### Poster | Rank | Model | Version | Score | | :--: | :----------------------------------------------------------: | :----------------------------------------------------------: | :--------: | | 🏅️ | **[Cheetor](https://arxiv.org/pdf/2308.04152.pdf)** | **[vicuna-7b](https://github.com/DCDmllm/Cheetah)** | **147.28** | | 🥈 | **[BLIP-2](https://arxiv.org/pdf/2301.12597.pdf)** | **[blip2-pretrain-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/blip2)** | **141.84** | | 🥉 | **[LRV-Instruction](https://arxiv.org/pdf/2306.14565.pdf)** | **[LRV-7B](https://github.com/FuxiaoLiu/LRV-Instruction)** | **139.04** | | 4 | [Otter](https://arxiv.org/pdf/2305.03726.pdf) | [OTTER-Image-MPT7B](https://github.com/Luodian/Otter) | 138.78 | | 5 | [Octopus](https://5e517712ad3e493895.gradio.live/) | MPT7B | 138.10 | | 6 | [mPLUG-Owl](https://arxiv.org/pdf/2304.14178.pdf) | [mplug-owl-llama-7b](https://huggingface.co/MAGAer13/mplug-owl-llama-7b) | 136.05 | | 7 | [Lynx](https://arxiv.org/pdf/2307.02469.pdf) | [vicuna-7b](https://github.com/bytedance/lynx-llm) | 124.83 | | 8 | [InstructBLIP](https://arxiv.org/pdf/2305.06500.pdf) | [blip2-instruct-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/instructblip) | 123.81 | | 9 | [LLaMA-Adapter V2](https://arxiv.org/pdf/2304.15010.pdf) | [LLaMAv2-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/llama_adapter_v2_multimodal) | 99.66 | | 10 | [VPGTrans](https://arxiv.org/pdf/2305.01278.pdf) | [vl-vicuna-7b](https://github.com/VPGTrans/VPGTrans) | 84.01 | | 11 | [LaVIN](https://arxiv.org/pdf/2305.15023.pdf) | [LAVIN-13B](https://github.com/luogen1996/LaVIN) | 79.59 | | 12 | [PandaGPT](https://arxiv.org/pdf/2305.16355.pdf) | [pandagpt-7b-max-len-512](https://github.com/yxuansu/PandaGPT) | 76.53 | | 13 | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | 65.99 | | 14 | [ImageBind_LLM](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main) | [imagebind_LLM-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/imagebind_LLM) | 64.97 | | 15 | [Multimodal-GPT](https://arxiv.org/pdf/2305.04790.pdf) | [Multimodal-GPT-9B](https://github.com/open-mmlab/Multimodal-GPT) | 57.82 | | 16 | [MiniGPT-4](https://arxiv.org/pdf/2304.10592.pdf) | [minigpt4-aligned-with-vicuna13b](https://github.com/Vision-CAIR/MiniGPT-4) | 55.78 | | 17 | [LLaVA](https://arxiv.org/pdf/2304.08485.pdf) | [LLaVA-7B-v0](https://github.com/haotian-liu/LLaVA) | 50.00 | ### Celebrity | Rank | Model | Version | Score | | :--: | :----------------------------------------------------------: | :----------------------------------------------------------: | :--------: | | 🏅️ | **[Otter](https://arxiv.org/pdf/2305.03726.pdf)** | **[OTTER-Image-MPT7B](https://github.com/Luodian/Otter)** | **172.65** | | 🥈 | **[Cheetor](https://arxiv.org/pdf/2308.04152.pdf)** | **[vicuna-7b](https://github.com/DCDmllm/Cheetah)** | **164.12** | | 🥉 | **[Octopus](https://5e517712ad3e493895.gradio.live/)** | **MPT7B** | **129.41** | | 4 | [Lynx](https://arxiv.org/pdf/2307.02469.pdf) | [vicuna-7b](https://github.com/bytedance/lynx-llm) | 118.24 | | 5 | [LRV-Instruction](https://arxiv.org/pdf/2306.14565.pdf) | [LRV-7B](https://github.com/FuxiaoLiu/LRV-Instruction) | 112.65 | | 6 | [BLIP-2](https://arxiv.org/pdf/2301.12597.pdf) | [blip2-pretrain-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/blip2) | 105.59 | | 7 | [InstructBLIP](https://arxiv.org/pdf/2305.06500.pdf) | [blip2-instruct-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/instructblip) | 101.18 | | 8 | [mPLUG-Owl](https://arxiv.org/pdf/2304.14178.pdf) | [mplug-owl-llama-7b](https://huggingface.co/MAGAer13/mplug-owl-llama-7b) | 100.29 | | 9 | [LLaMA-Adapter V2](https://arxiv.org/pdf/2304.15010.pdf) | [LLaMAv2-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/llama_adapter_v2_multimodal) | 86.18 | | 10 | [ImageBind_LLM](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main) | [imagebind_LLM-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/imagebind_LLM) | 76.47 | | 11 | [Multimodal-GPT](https://arxiv.org/pdf/2305.04790.pdf) | [Multimodal-GPT-9B](https://github.com/open-mmlab/Multimodal-GPT) | 73.82 | | 12 | [MiniGPT-4](https://arxiv.org/pdf/2304.10592.pdf) | [minigpt4-aligned-with-vicuna13b](https://github.com/Vision-CAIR/MiniGPT-4) | 65.29 | | 13 | [PandaGPT](https://arxiv.org/pdf/2305.16355.pdf) | [pandagpt-7b-max-len-512](https://github.com/yxuansu/PandaGPT) | 57.06 | | 14 | [VPGTrans](https://arxiv.org/pdf/2305.01278.pdf) | [vl-vicuna-7b](https://github.com/VPGTrans/VPGTrans) | 53.53 | | 15 | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | 53.24 | | 16 | [LLaVA](https://arxiv.org/pdf/2304.08485.pdf) | [LLaVA-7B-v0](https://github.com/haotian-liu/LLaVA) | 48.82 | | 17 | [LaVIN](https://arxiv.org/pdf/2305.15023.pdf) | [LAVIN-13B](https://github.com/luogen1996/LaVIN) | 47.35 | ### Scene | Rank | Model | Version | Score | | :--: | :----------------------------------------------------------: | :----------------------------------------------------------: | :--------: | | 🏅️ | **[Lynx](https://arxiv.org/pdf/2307.02469.pdf)** | **[vicuna-7b](https://github.com/bytedance/lynx-llm)** | **164.50** | | 🥈 | [**Otter](https://arxiv.org/pdf/2305.03726.pdf)** | **[OTTER-Image-MPT7B](https://github.com/Luodian/Otter)** | **158.75** | | 🥉 | **[Octopus](https://5e517712ad3e493895.gradio.live/)** | **MPT7B** | **157.25** | | 4 | [Cheetor](https://arxiv.org/pdf/2308.04152.pdf) | [vicuna-7b](https://github.com/DCDmllm/Cheetah) | 156.00 | | 5 | [InstructBLIP](https://arxiv.org/pdf/2305.06500.pdf) | [blip2-instruct-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/instructblip) | 153.00 | | 6 | [LLaMA-Adapter V2](https://arxiv.org/pdf/2304.15010.pdf) | [LLaMAv2-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/llama_adapter_v2_multimodal) | 148.50 | | 7 | [LRV-Instruction](https://arxiv.org/pdf/2306.14565.pdf) | [LRV-7B](https://github.com/FuxiaoLiu/LRV-Instruction) | 147.98 | | 8 | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | 146.25 | | 9 | [BLIP-2](https://arxiv.org/pdf/2301.12597.pdf) | [blip2-pretrain-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/blip2) | 145.25 | | 10 | [VPGTrans](https://arxiv.org/pdf/2305.01278.pdf) | [vl-vicuna-7b](https://github.com/VPGTrans/VPGTrans) | 141.75 | | 11 | [LaVIN](https://arxiv.org/pdf/2305.15023.pdf) | [LAVIN-13B](https://github.com/luogen1996/LaVIN) | 136.75 | | 12 | [mPLUG-Owl](https://arxiv.org/pdf/2304.14178.pdf) | [mplug-owl-llama-7b](https://huggingface.co/MAGAer13/mplug-owl-llama-7b) | 135.50 | | 13 | [PandaGPT](https://arxiv.org/pdf/2305.16355.pdf) | [pandagpt-7b-max-len-512](https://github.com/yxuansu/PandaGPT) | 118.00 | | 14 | [ImageBind_LLM](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main) | [imagebind_LLM-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/imagebind_LLM) | 113.25 | | 15 | [MiniGPT-4](https://arxiv.org/pdf/2304.10592.pdf) | [minigpt4-aligned-with-vicuna13b](https://github.com/Vision-CAIR/MiniGPT-4) | 95.75 | | 16 | [Multimodal-GPT](https://arxiv.org/pdf/2305.04790.pdf) | [Multimodal-GPT-9B](https://github.com/open-mmlab/Multimodal-GPT) | 68.00 | | 17 | [LLaVA](https://arxiv.org/pdf/2304.08485.pdf) | [LLaVA-7B-v0](https://github.com/haotian-liu/LLaVA) | 50.00 | ### Landmark | Rank | Model | Version | Score | | :--: | :----------------------------------------------------------: | :----------------------------------------------------------: | :--------: | | 🏅️ | **[Lynx](https://arxiv.org/pdf/2307.02469.pdf)** | **[vicuna-7b](https://github.com/bytedance/lynx-llm)** | **162.00** | | 🥈 | **[LRV-Instruction](https://arxiv.org/pdf/2306.14565.pdf)** | **[LRV-7B](https://github.com/FuxiaoLiu/LRV-Instruction)** | **160.53** | | 🥉 | **[mPLUG-Owl](https://arxiv.org/pdf/2304.14178.pdf)** | **[mplug-owl-llama-7b](https://huggingface.co/MAGAer13/mplug-owl-llama-7b)** | **159.25** | | 4 | [LLaMA-Adapter V2](https://arxiv.org/pdf/2304.15010.pdf) | [LLaMAv2-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/llama_adapter_v2_multimodal) | 150.25 | | 5 | [Cheetor](https://arxiv.org/pdf/2308.04152.pdf) | [vicuna-7b](https://github.com/DCDmllm/Cheetah) | 145.73 | | 6 | [BLIP-2](https://arxiv.org/pdf/2301.12597.pdf) | [blip2-pretrain-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/blip2) | 138.00 | | 7 | [Otter](https://arxiv.org/pdf/2305.03726.pdf) | [OTTER-Image-MPT7B](https://github.com/Luodian/Otter) | 137.25 | | 8 | [Octopus](https://5e517712ad3e493895.gradio.live/) | MPT7B | 126.00 | | 9 | [LaVIN](https://arxiv.org/pdf/2305.15023.pdf) | [LAVIN-13B](https://github.com/luogen1996/LaVIN) | 93.50 | | 10 | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | 83.75 | | 11 | [InstructBLIP](https://arxiv.org/pdf/2305.06500.pdf) | [blip2-instruct-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/instructblip) | 79.75 | | 12 | [Multimodal-GPT](https://arxiv.org/pdf/2305.04790.pdf) | [Multimodal-GPT-9B](https://github.com/open-mmlab/Multimodal-GPT) | 69.75 | | 12 | [PandaGPT](https://arxiv.org/pdf/2305.16355.pdf) | [pandagpt-7b-max-len-512](https://github.com/yxuansu/PandaGPT) | 69.75 | | 13 | [MiniGPT-4](https://arxiv.org/pdf/2304.10592.pdf) | [minigpt4-aligned-with-vicuna13b](https://github.com/Vision-CAIR/MiniGPT-4) | 69.00 | | 14 | [VPGTrans](https://arxiv.org/pdf/2305.01278.pdf) | [vl-vicuna-7b](https://github.com/VPGTrans/VPGTrans) | 64.75 | | 15 | [ImageBind_LLM](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main) | [imagebind_LLM-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/imagebind_LLM) | 62.00 | | 16 | [LLaVA](https://arxiv.org/pdf/2304.08485.pdf) | [LLaVA-7B-v0](https://github.com/haotian-liu/LLaVA) | 50.00 | ### Artwork | Rank | Model | Version | Score | | :--: | :----------------------------------------------------------: | :----------------------------------------------------------: | :--------: | | 🏅️ | **[BLIP-2](https://arxiv.org/pdf/2301.12597.pdf)** | **[blip2-pretrain-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/blip2)** | **136.50** | | 🥈 | **[InstructBLIP](https://arxiv.org/pdf/2305.06500.pdf)** | **[blip2-instruct-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/instructblip)** | **134.25** | | 🥉 | **[Otter](https://arxiv.org/pdf/2305.03726.pdf)** | **[OTTER-Image-MPT7B](https://github.com/Luodian/Otter)** | **129.00** | | 4 | [Lynx](https://arxiv.org/pdf/2307.02469.pdf) | [vicuna-7b](https://github.com/bytedance/lynx-llm) | 119.50 | | 5 | [Cheetor](https://arxiv.org/pdf/2308.04152.pdf) | [vicuna-7b](https://github.com/DCDmllm/Cheetah) | 113.50 | | 6 | [LRV-Instruction](https://arxiv.org/pdf/2306.14565.pdf) | [LRV-7B](https://github.com/FuxiaoLiu/LRV-Instruction) | 101.25 | | 7 | [mPLUG-Owl](https://arxiv.org/pdf/2304.14178.pdf) | [mplug-owl-llama-7b](https://huggingface.co/MAGAer13/mplug-owl-llama-7b) | 96.25 | | 8 | [Octopus](https://5e517712ad3e493895.gradio.live/) | MPT7B | 95.00 | | 9 | [LaVIN](https://arxiv.org/pdf/2305.15023.pdf) | [LAVIN-13B](https://github.com/luogen1996/LaVIN) | 87.25 | | 10 | [VPGTrans](https://arxiv.org/pdf/2305.01278.pdf) | [vl-vicuna-7b](https://github.com/VPGTrans/VPGTrans) | 77.25 | | 11 | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | 75.25 | | 12 | [ImageBind_LLM](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main) | [imagebind_LLM-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/imagebind_LLM) | 70.75 | | 13 | [LLaMA-Adapter V2](https://arxiv.org/pdf/2304.15010.pdf) | [LLaMAv2-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/llama_adapter_v2_multimodal) | 69.75 | | 14 | [Multimodal-GPT](https://arxiv.org/pdf/2305.04790.pdf) | [Multimodal-GPT-9B](https://github.com/open-mmlab/Multimodal-GPT) | 59.50 | | 15 | [MiniGPT-4](https://arxiv.org/pdf/2304.10592.pdf) | [minigpt4-aligned-with-vicuna13b](https://github.com/Vision-CAIR/MiniGPT-4) | 55.75 | | 16 | [PandaGPT](https://arxiv.org/pdf/2305.16355.pdf) | [pandagpt-7b-max-len-512](https://github.com/yxuansu/PandaGPT) | 51.25 | | 17 | [LLaVA](https://arxiv.org/pdf/2304.08485.pdf) | [LLaVA-7B-v0](https://github.com/haotian-liu/LLaVA) | 49.00 | ### OCR | Rank | Model | Version | Score | | :--: | :----------------------------------------------------------: | :----------------------------------------------------------: | :----: | | 🏅️ | [LLaMA-Adapter V2](https://arxiv.org/pdf/2304.15010.pdf) | [LLaMAv2-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/llama_adapter_v2_multimodal) | 125.00 | | 🥈 | [BLIP-2](https://arxiv.org/pdf/2301.12597.pdf) | [blip2-pretrain-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/blip2) | 110.00 | | 🥈 | [LRV-Instruction](https://arxiv.org/pdf/2306.14565.pdf) | [LRV-7B](https://github.com/FuxiaoLiu/LRV-Instruction) | 110.00 | | 🥉 | [LaVIN](https://arxiv.org/pdf/2305.15023.pdf) | [LAVIN-13B](https://github.com/luogen1996/LaVIN) | 107.50 | | 4 | [Cheetor](https://arxiv.org/pdf/2308.04152.pdf) | [vicuna-7b](https://github.com/DCDmllm/Cheetah) | 100.00 | | 5 | [MiniGPT-4](https://arxiv.org/pdf/2304.10592.pdf) | [minigpt4-aligned-with-vicuna13b](https://github.com/Vision-CAIR/MiniGPT-4) | 95.00 | | 6 | [Multimodal-GPT](https://arxiv.org/pdf/2305.04790.pdf) | [Multimodal-GPT-9B](https://github.com/open-mmlab/Multimodal-GPT) | 82.50 | | 7 | [ImageBind_LLM](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main) | [imagebind_LLM-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/imagebind_LLM) | 80.00 | | 8 | [VPGTrans](https://arxiv.org/pdf/2305.01278.pdf) | [vl-vicuna-7b](https://github.com/VPGTrans/VPGTrans) | 77.50 | | 8 | [Lynx](https://arxiv.org/pdf/2307.02469.pdf) | [vicuna-7b](https://github.com/bytedance/lynx-llm) | 77.50 | | 9 | [InstructBLIP](https://arxiv.org/pdf/2305.06500.pdf) | [blip2-instruct-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/instructblip) | 72.50 | | 9 | [Otter](https://arxiv.org/pdf/2305.03726.pdf) | [OTTER-Image-MPT7B](https://github.com/Luodian/Otter) | 72.50 | | 10 | [mPLUG-Owl](https://arxiv.org/pdf/2304.14178.pdf) | [mplug-owl-llama-7b](https://huggingface.co/MAGAer13/mplug-owl-llama-7b) | 65.00 | | 10 | [Octopus](https://5e517712ad3e493895.gradio.live/) | MPT7B | 65.00 | | 11 | [PandaGPT](https://arxiv.org/pdf/2305.16355.pdf) | [pandagpt-7b-max-len-512](https://github.com/yxuansu/PandaGPT) | 50.00 | | 11 | [LLaVA](https://arxiv.org/pdf/2304.08485.pdf) | [LLaVA-7B-v0](https://github.com/haotian-liu/LLaVA) | 50.00 | | 12 | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | 42.5 | ## Cognition Sum of the scores of all cognition subtasks, including commonsense reasoning, numerical calculation, text translation, and code reasoning. The full score of each subtask is 200, and that of all cognition is 800. | Rank | Model | Version | Score | | :--: | :----------------------------------------------------------: | :----------------------------------------------------------: | :---------: | | 🏅️ | **[LRV-Instruction](https://arxiv.org/pdf/2306.14565.pdf)** | **[LRV-7B](https://github.com/FuxiaoLiu/LRV-Instruction)** | **328.21** | | 🥈 | **[Cheetor](https://arxiv.org/pdf/2308.04152.pdf)** | **[vicuna-7b](https://github.com/DCDmllm/Cheetah)** | **321.07** | | 🥉 | **[Octopus](https://5e517712ad3e493895.gradio.live/)** | **MPT7B** | **312.50** | | 4 | [Otter](https://arxiv.org/pdf/2305.03726.pdf) | [OTTER-Image-MPT7B](https://github.com/Luodian/Otter) | 306.43 | | 5 | [MiniGPT-4](https://arxiv.org/pdf/2304.10592.pdf) | [minigpt4-aligned-with-vicuna13b](https://github.com/Vision-CAIR/MiniGPT-4) | 292.14 | | 6 | [InstructBLIP](https://arxiv.org/pdf/2305.06500.pdf) | [blip2-instruct-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/instructblip) | 291.79 | | 7 | [BLIP-2](https://arxiv.org/pdf/2301.12597.pdf) | [blip2-pretrain-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/blip2) | 290.00 | | 8 | [mPLUG-Owl](https://arxiv.org/pdf/2304.14178.pdf) | [mplug-owl-llama-7b](https://huggingface.co/MAGAer13/mplug-owl-llama-7b) | 276.07 | | 9 | [LaVIN](https://arxiv.org/pdf/2305.15023.pdf) | [LAVIN-13B](https://github.com/luogen1996/LaVIN) | 249.64 | | 10 | [VPGTrans](https://arxiv.org/pdf/2305.01278.pdf) | [vl-vicuna-7b](https://github.com/VPGTrans/VPGTrans) | 249.29 | | 11 | [LLaMA-Adapter V2](https://arxiv.org/pdf/2304.15010.pdf) | [LLaMAv2-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/llama_adapter_v2_multimodal) | 248.93 | | 12 | [PandaGPT](https://arxiv.org/pdf/2305.16355.pdf) | [pandagpt-7b-max-len-512](https://github.com/yxuansu/PandaGPT) | 228.57 | | 13 | [Multimodal-GPT](https://arxiv.org/pdf/2305.04790.pdf) | [Multimodal-GPT-9B](https://github.com/open-mmlab/Multimodal-GPT) | 226.79 | | 14 | [Lynx](https://arxiv.org/pdf/2307.02469.pdf) | [vicuna-7b](https://github.com/bytedance/lynx-llm) | 215.7142857 | | 15 | [LLaVA](https://arxiv.org/pdf/2304.08485.pdf) | [LLaVA-7B-v0](https://github.com/haotian-liu/LLaVA) | 214.64 | | 16 | [ImageBind_LLM](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main) | [imagebind_LLM-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/imagebind_LLM) | 213.57 | | 17 | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | 181.79 | ### Commonsense Reasoning | Rank | Model | Version | Score | | :--: | :----------------------------------------------------------: | :----------------------------------------------------------: | :--------: | | 🏅️ | **[InstructBLIP](https://arxiv.org/pdf/2305.06500.pdf)** | **[blip2-instruct-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/instructblip)** | **129.29** | | 🥈 | **[Lynx](https://arxiv.org/pdf/2307.02469.pdf)** | **[vicuna-7b](https://github.com/bytedance/lynx-llm)** | **110.71** | | 🥉 | **[BLIP-2](https://arxiv.org/pdf/2301.12597.pdf)** | **[blip2-pretrain-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/blip2)** | **110.00** | | 4 | [Otter](https://arxiv.org/pdf/2305.03726.pdf) | [OTTER-Image-MPT7B](https://github.com/Luodian/Otter) | 106.43 | | 5 | [LRV-Instruction](https://arxiv.org/pdf/2306.14565.pdf) | [LRV-7B](https://github.com/FuxiaoLiu/LRV-Instruction) | 100.71 | | 6 | [Octopus](https://5e517712ad3e493895.gradio.live/) | MPT7B | 100.00 | | 7 | [Cheetor](https://arxiv.org/pdf/2308.04152.pdf) | [vicuna-7b](https://github.com/DCDmllm/Cheetah) | 98.57 | | 8 | [LaVIN](https://arxiv.org/pdf/2305.15023.pdf) | [LAVIN-13B](https://github.com/luogen1996/LaVIN) | 87.14 | | 9 | [LLaMA-Adapter V2](https://arxiv.org/pdf/2304.15010.pdf) | [LLaMAv2-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/llama_adapter_v2_multimodal) | 81.43 | | 10 | [mPLUG-Owl](https://arxiv.org/pdf/2304.14178.pdf) | [mplug-owl-llama-7b](https://huggingface.co/MAGAer13/mplug-owl-llama-7b) | 78.57 | | 11 | [PandaGPT](https://arxiv.org/pdf/2305.16355.pdf) | [pandagpt-7b-max-len-512](https://github.com/yxuansu/PandaGPT) | 73.57 | | 12 | [MiniGPT-4](https://arxiv.org/pdf/2304.10592.pdf) | [minigpt4-aligned-with-vicuna13b](https://github.com/Vision-CAIR/MiniGPT-4) | 72.14 | | 13 | [VPGTrans](https://arxiv.org/pdf/2305.01278.pdf) | [vl-vicuna-7b](https://github.com/VPGTrans/VPGTrans) | 64.29 | | 14 | [LLaVA](https://arxiv.org/pdf/2304.08485.pdf) | [LLaVA-7B-v0](https://github.com/haotian-liu/LLaVA) | 57.14 | | 15 | [Multimodal-GPT](https://arxiv.org/pdf/2305.04790.pdf) | [Multimodal-GPT-9B](https://github.com/open-mmlab/Multimodal-GPT) | 49.29 | | 16 | [ImageBind_LLM](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main) | [imagebind_LLM-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/imagebind_LLM) | 48.57 | | 17 | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | 39.29 | ### Numerical Calculation | Rank | Model | Version | Score | | :--: | :----------------------------------------------------------: | :----------------------------------------------------------: | :-------: | | 🏅️ | **[Cheetor](https://arxiv.org/pdf/2308.04152.pdf)** | **[vicuna-7b](https://github.com/DCDmllm/Cheetah)** | **77.50** | | 🥈 | **[Otter](https://arxiv.org/pdf/2305.03726.pdf)** | **[OTTER-Image-MPT7B](https://github.com/Luodian/Otter)** | **72.50** | | 🥉 | **[LRV-Instruction](https://arxiv.org/pdf/2306.14565.pdf)** | **[LRV-7B](https://github.com/FuxiaoLiu/LRV-Instruction)** | **70.00** | | 4 | [LaVIN](https://arxiv.org/pdf/2305.15023.pdf) | [LAVIN-13B](https://github.com/luogen1996/LaVIN) | 65.00 | | 5 | [LLaMA-Adapter V2](https://arxiv.org/pdf/2304.15010.pdf) | [LLaMAv2-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/llama_adapter_v2_multimodal) | 62.50 | | 5 | [Multimodal-GPT](https://arxiv.org/pdf/2305.04790.pdf) | [Multimodal-GPT-9B](https://github.com/open-mmlab/Multimodal-GPT) | 62.50 | | 6 | [mPLUG-Owl](https://arxiv.org/pdf/2304.14178.pdf) | [mplug-owl-llama-7b](https://huggingface.co/MAGAer13/mplug-owl-llama-7b) | 60.00 | | 7 | [MiniGPT-4](https://arxiv.org/pdf/2304.10592.pdf) | [minigpt4-aligned-with-vicuna13b](https://github.com/Vision-CAIR/MiniGPT-4) | 55.00 | | 7 | [ImageBind_LLM](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main) | [imagebind_LLM-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/imagebind_LLM) | 55.00 | | 8 | [PandaGPT](https://arxiv.org/pdf/2305.16355.pdf) | [pandagpt-7b-max-len-512](https://github.com/yxuansu/PandaGPT) | 50.00 | | 8 | [LLaVA](https://arxiv.org/pdf/2304.08485.pdf) | [LLaVA-7B-v0](https://github.com/haotian-liu/LLaVA) | 50.00 | | 8 | [VPGTrans](https://arxiv.org/pdf/2305.01278.pdf) | [vl-vicuna-7b](https://github.com/VPGTrans/VPGTrans) | 50.00 | | 9 | [Octopus](https://5e517712ad3e493895.gradio.live/) | MPT7B | 47.50 | | 10 | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | 45.00 | | 11 | [BLIP-2](https://arxiv.org/pdf/2301.12597.pdf) | [blip2-pretrain-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/blip2) | 40.00 | | 11 | [InstructBLIP](https://arxiv.org/pdf/2305.06500.pdf) | [blip2-instruct-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/instructblip) | 40.00 | | 12 | [Lynx](https://arxiv.org/pdf/2307.02469.pdf) | [vicuna-7b](https://github.com/bytedance/lynx-llm) | 17.50 | ### Text Translation | Rank | Model | Version | Score | | :--: | :----------------------------------------------------------: | :----------------------------------------------------------: | :--------: | | 🏅️ | **[Octopus](https://5e517712ad3e493895.gradio.live/)** | **MPT7B** | **102.50** | | 🥈 | **[LRV-Instruction](https://arxiv.org/pdf/2306.14565.pdf)** | **[LRV-7B](https://github.com/FuxiaoLiu/LRV-Instruction)** | **85.00** | | 🥉 | **[mPLUG-Owl](https://arxiv.org/pdf/2304.14178.pdf)** | **[mplug-owl-llama-7b](https://huggingface.co/MAGAer13/mplug-owl-llama-7b)** | **80.00** | | 4 | [VPGTrans](https://arxiv.org/pdf/2305.01278.pdf) | [vl-vicuna-7b](https://github.com/VPGTrans/VPGTrans) | 77.50 | | 5 | [BLIP-2](https://arxiv.org/pdf/2301.12597.pdf) | [blip2-pretrain-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/blip2) | 65.00 | | 5 | [InstructBLIP](https://arxiv.org/pdf/2305.06500.pdf) | [blip2-instruct-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/instructblip) | 65.00 | | 6 | [Multimodal-GPT](https://arxiv.org/pdf/2305.04790.pdf) | [Multimodal-GPT-9B](https://github.com/open-mmlab/Multimodal-GPT) | 60.00 | | 6 | [Otter](https://arxiv.org/pdf/2305.03726.pdf) | [OTTER-Image-MPT7B](https://github.com/Luodian/Otter) | 57.50 | | 6 | [PandaGPT](https://arxiv.org/pdf/2305.16355.pdf) | [pandagpt-7b-max-len-512](https://github.com/yxuansu/PandaGPT) | 57.50 | | 6 | [LLaVA](https://arxiv.org/pdf/2304.08485.pdf) | [LLaVA-7B-v0](https://github.com/haotian-liu/LLaVA) | 57.50 | | 6 | [Cheetor](https://arxiv.org/pdf/2308.04152.pdf) | [vicuna-7b](https://github.com/DCDmllm/Cheetah) | 57.50 | | 7 | [MiniGPT-4](https://arxiv.org/pdf/2304.10592.pdf) | [minigpt4-aligned-with-vicuna13b](https://github.com/Vision-CAIR/MiniGPT-4) | 55.00 | | 8 | [ImageBind_LLM](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main) | [imagebind_LLM-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/imagebind_LLM) | 50.00 | | 8 | [LLaMA-Adapter V2](https://arxiv.org/pdf/2304.15010.pdf) | [LLaMAv2-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/llama_adapter_v2_multimodal) | 50.00 | | 8 | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | 50.00 | | 9 | [LaVIN](https://arxiv.org/pdf/2305.15023.pdf) | [LAVIN-13B](https://github.com/luogen1996/LaVIN) | 47.50 | | 10 | [Lynx](https://arxiv.org/pdf/2307.02469.pdf) | [vicuna-7b](https://github.com/bytedance/lynx-llm) | 42.50 | ### Code Reasoning | Rank | Model | Version | Score | | :--: | :----------------------------------------------------------: | :----------------------------------------------------------: | :--------: | | 🏅️ | **[MiniGPT-4](https://arxiv.org/pdf/2304.10592.pdf)** | **[minigpt4-aligned-with-vicuna13b](https://github.com/Vision-CAIR/MiniGPT-4)** | **110.00** | | 🥈 | **[Cheetor](https://arxiv.org/pdf/2308.04152.pdf)** | **[vicuna-7b](https://github.com/DCDmllm/Cheetah)** | **87.50** | | 🥉 | **[BLIP-2](https://arxiv.org/pdf/2301.12597.pdf)** | **[blip2-pretrain-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/blip2)** | **75.00** | | 4 | [LRV-Instruction](https://arxiv.org/pdf/2306.14565.pdf) | [LRV-7B](https://github.com/FuxiaoLiu/LRV-Instruction) | 72.50 | | 5 | [Otter](https://arxiv.org/pdf/2305.03726.pdf) | [OTTER-Image-MPT7B](https://github.com/Luodian/Otter) | 70.00 | | 6 | [Octopus](https://5e517712ad3e493895.gradio.live/) | MPT7B | 62.50 | | 7 | [ImageBind_LLM](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main) | [imagebind_LLM-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/imagebind_LLM) | 60.00 | | 8 | [mPLUG-Owl](https://arxiv.org/pdf/2304.14178.pdf) | [mplug-owl-llama-7b](https://huggingface.co/MAGAer13/mplug-owl-llama-7b) | 57.50 | | 9 | [InstructBLIP](https://arxiv.org/pdf/2305.06500.pdf) | [blip2-instruct-flant5xxl](https://github.com/salesforce/LAVIS/tree/main/projects/instructblip) | 57.50 | | 9 | [VPGTrans](https://arxiv.org/pdf/2305.01278.pdf) | [vl-vicuna-7b](https://github.com/VPGTrans/VPGTrans) | 57.50 | | 10 | [LLaMA-Adapter V2](https://arxiv.org/pdf/2304.15010.pdf) | [LLaMAv2-7B](https://github.com/OpenGVLab/LLaMA-Adapter/tree/main/llama_adapter_v2_multimodal) | 55.00 | | 10 | [Multimodal-GPT](https://arxiv.org/pdf/2305.04790.pdf) | [Multimodal-GPT-9B](https://github.com/open-mmlab/Multimodal-GPT) | 55.00 | | 11 | [LLaVA](https://arxiv.org/pdf/2304.08485.pdf) | [LLaVA-7B-v0](https://github.com/haotian-liu/LLaVA) | 50.00 | | 11 | [LaVIN](https://arxiv.org/pdf/2305.15023.pdf) | [LAVIN-13B](https://github.com/luogen1996/LaVIN) | 50.00 | | 12 | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | [VisualGLM-6B](https://github.com/THUDM/VisualGLM-6B) | 47.50 | | 12 | [PandaGPT](https://arxiv.org/pdf/2305.16355.pdf) | [pandagpt-7b-max-len-512](https://github.com/yxuansu/PandaGPT) | 47.50 | | 13 | [Lynx](https://arxiv.org/pdf/2307.02469.pdf) | [vicuna-7b](https://github.com/bytedance/lynx-llm) | 45.00 |