ModelAufgelistetExtern

MMEvol LLaMA3 8B

Quellehuggingface.co/Tongyi-ConvAI/MMEvol-LLaMA3-8B/tree/2245bb95bfbae6c8f44c10079729e66ae2b214f6

ArtText modelBasismodellmeta-llama/Llama-3.1-8B-InstructVersionmm_projectorBBewertung

Modellquelle

Art: Text model
Dateigröße: 40,0 MB
Basismodell: meta-llama/Llama-3.1-8B-Instruct
Version: vmm_projector
Aktualisiert: 30. Okt. 2026
Downloads: 26
Quelle: Hugging Face

Quellenbeschreibung

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-LLaMA3-8B	mm_projector	LLaMA3-8B	LLaVA-Pretrain	MMEvol	ckpt

Performance

VLMEvalKit Support (OpenCompass)

Model	MME_C	MMStar	HallBench	MathVista_mini	MMMU_val	AI2D	POPE	BLINK	RWQA
MMEvol-LLaMA3-8B	47.8	50.1	62.3	50.0	40.8	73.9	86.8	46.4	62.6

VLMEvalKit Not Support (VQADataSet)

Model	VQA_v2	GQA	MIA	MMSInst
MMEvol-LLaMA3-8B	83.4	65.0	78.8	32.3

Paper or resources for more information

Page: https://mmevol.github.io/
arXiv: https://arxiv.org/pdf/2409.05840

License

Contact us if you have any questions

Run Luo — [email protected]
Haonan Zhang — [email protected]

Quellen

1 Quelle

Hugging FacePrimärVersion 2245bb95bfbae6c8f44c10079729e66ae2b214f6

huggingface.co/Tongyi-ConvAI/MMEvol-LLaMA3-8B/tree/2245bb95bfbae6c8f44c10079729e66ae2b214f6

Verifiziert 30. Okt.

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.

Modellartefakte

1 Artefakt

mm_projector.bin

bin · 40,0 MB · SHA-256 eba0f7e629ab…bfc1 · Hugging Face

Download file

Quellenauszüge

3 Auszüge

Readme14. Aug.huggingface.co/Tongyi-ConvAI/MMEvol-LLaMA3-8B

--- license: apache-2.0 language: - en metrics: - accuracy base_model: - meta-llama/Llama-3.1-8B-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-LLaMA3-8B | [mm_projector](https://huggingface.co/Tongyi-ConvAI/MMEvol/tree/main/llama3) | LLaMA3-8B | [LLaVA-Pretrain](https://huggingface.co/datasets/liuhaotian/LLaVA-Pretrain) | MMEvol | [ckpt](https://huggingface.co/Tongyi-ConvAI/MMEvol/tree/main/llama3)| ## Performance ### VLMEvalKit Support (OpenCompass) | Model | MME_C | MMStar | HallBench | MathVista_mini | MMMU_val | AI2D | POPE | BLINK | RWQA | | ---------------- | ----- | ------ | --------- | -------------- | -------- | ---- | ---- | ----- | ---- | | MMEvol-LLaMA3-8B | 47.8 | 50.1 | 62.3 | 50.0 | 40.8 | 73.9 | 86.8 | 46.4 | 62.6 | ### VLMEvalKit Not Support (VQADataSet) | Model | VQA_v2 | GQA | MIA | MMSInst | | ---------------- | ------ | ---- | ---- | ------- | | MMEvol-LLaMA3-8B | 83.4 | 65.0 | 78.8 | 32.3 | ## 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 — [email protected] - Haonan Zhang — [email protected]

Note30. Okt.huggingface.co/Tongyi-ConvAI/MMEvol-LLaMA3-8B

Source context: 26 downloads · 2 likes · Pipeline visual-question-answering · Repo Tongyi-ConvAI/MMEvol-LLaMA3-8B

Note14. Aug.huggingface.co/Tongyi-ConvAI/MMEvol-LLaMA3-8B

Source context: 16 downloads · 2 likes · Pipeline visual-question-answering · Repo Tongyi-ConvAI/MMEvol-LLaMA3-8B