MMEvol Qwen2 7B
Here are the pretrained weights and instruction tuning weights | Model | Pretrained Projector | Base LLM | PT Data | IT Data | Download | | MMEvol-Qwen2-7B | mmprojector | Qwen2-7B | LLaVA-Pretrain | MMEvol | ckpt |
Model source
- Kind
- Text model
- File size
- 31.5 MB
- Base model
- Qwen/Qwen2-VL-7B-Instruct
- Version
- vmm_projector
- Updated
- Oct 30, 2026
- Downloads
- 25
- Source
- Hugging Face
Source description
MMEvol Model Card
Model Details
Here are the pretrained weights and instruction tuning weights
| Model | Pretrained Projector | Base LLM | PT Data | IT Data | Download |
|---|---|---|---|---|---|
| MMEvol-Qwen2-7B | mm_projector | Qwen2-7B | LLaVA-Pretrain | MMEvol | ckpt |
Performance
VLMEvalKit Support (OpenCompass)
| Model | MME_C | MMStar | HallBench | MathVista_mini | MMMU_val | AI2D | POPE | BLINK | RWQA |
|---|---|---|---|---|---|---|---|---|---|
| MMEvol-Qwen2-7B | 55.8 | 51.6 | 64.1 | 52.4 | 45.1 | 74.7 | 87.8 | 47.7 | 63.9 |
VLMEvalKit Not Support (VQADataSet)
| Model | VQA_v2 | GQA | MIA | MMSInst |
|---|---|---|---|---|
| MMEvol-Qwen2-7B | 83.1 | 65.5 | 77.6 | 41.8 |
Paper or resources for more information
License
Llama 3 is licensed under the LLAMA 3 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved.
Contact us if you have any questions
- Run Luo — r.luo@siat.ac.cn
- Haonan Zhang — zchiowal@gmail.com
Sources
1 source
Sources
1 sourceVerified Oct 30
Download files
Model · 4 weight files
All files listed in the provider index are present.
- model.safetensors.index.json · provider index
- config.json
- generation_config.json
- model-00004-of-00004.safetensors · individual shard
- model-00001-of-00004.safetensors · individual shard
- model-00002-of-00004.safetensors · individual shard
- model-00003-of-00004.safetensors · individual shard
Repository files
File inventory only; completeness is unverified.
Model artifacts
1 artifact
Model artifacts
1 artifactSource excerpts
3 excerpts
Source excerpts
3 excerpts--- license: apache-2.0 language: - en metrics: - accuracy base_model: - Qwen/Qwen2-VL-7B-Instruct pipeline_tag: visual-question-answering --- # MMEvol Model Card ## Model Details Here are the pretrained weights and instruction tuning weights | Model | Pretrained Projector | Base LLM | PT Data | IT Data | Download | | ---------------- | -------------------- | --------- | ------------------------------------------------------------ | ------- | -------- | | MMEvol-Qwen2-7B | [mm_projector](https://huggingface.co/Tongyi-ConvAI/MMEvol-Qwen2-7B/tree/main) | Qwen2-7B | [LLaVA-Pretrain](https://huggingface.co/datasets/liuhaotian/LLaVA-Pretrain) | MMEvol | [ckpt](https://huggingface.co/Tongyi-ConvAI/MMEvol-Qwen2-7B/tree/main) | ## Performance ### VLMEvalKit Support (OpenCompass) | Model | MME_C | MMStar | HallBench | MathVista_mini | MMMU_val | AI2D | POPE | BLINK | RWQA | | ---------------- | ----- | ------ | --------- | -------------- | -------- | ---- | ---- | ----- | ---- | | MMEvol-Qwen2-7B | 55.8 | 51.6 | 64.1 | 52.4 | 45.1 | 74.7 | 87.8 | 47.7 | 63.9 | ### VLMEvalKit Not Support (VQADataSet) | Model | VQA_v2 | GQA | MIA | MMSInst | | ---------------- | ------ | ---- | ---- | ------- | | MMEvol-Qwen2-7B | 83.1 | 65.5 | 77.6 | 41.8 | ## Paper or resources for more information - Page: https://mmevol.github.io/ - arXiv: https://arxiv.org/pdf/2409.05840 ## License Llama 3 is licensed under the LLAMA 3 Community License, Copyright (c) Meta Platforms, Inc. All Rights Reserved. ## Contact us if you have any questions - Run Luo — r.luo@siat.ac.cn - Haonan Zhang — zchiowal@gmail.com
Source context: 25 downloads · 4 likes · Pipeline visual-question-answering · Repo Tongyi-ConvAI/MMEvol-Qwen2-7B
Source context: 14 downloads · 4 likes · Pipeline visual-question-answering · Repo Tongyi-ConvAI/MMEvol-Qwen2-7B
