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  - **Vision Encoder:** [google/siglip-so400m-patch14-384](https://huggingface.co/google/siglip-so400m-patch14-384)
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  - **Huggingface Version Model:** [NCSOFT/VARCO-VISION-14B-HF](https://huggingface.co/NCSOFT/VARCO-VISION-14B-HF)
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  - **Korean VLM Benchmarks:**
 
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  - [NCSOFT/K-MMBench](https://huggingface.co/datasets/NCSOFT/K-MMBench)
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  - [NCSOFT/K-SEED](https://huggingface.co/datasets/NCSOFT/K-SEED)
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  - [NCSOFT/K-MMStar](https://huggingface.co/datasets/NCSOFT/K-MMStar)
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  - [NCSOFT/K-DTCBench](https://huggingface.co/datasets/NCSOFT/K-DTCBench)
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  - [NCSOFT/K-LLaVA-W](https://huggingface.co/datasets/NCSOFT/K-LLaVA-W)
 
 
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  - **This model is for research purposes only. Commercial use is prohibited.**
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  ## Uses
 
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  - **Vision Encoder:** [google/siglip-so400m-patch14-384](https://huggingface.co/google/siglip-so400m-patch14-384)
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  - **Huggingface Version Model:** [NCSOFT/VARCO-VISION-14B-HF](https://huggingface.co/NCSOFT/VARCO-VISION-14B-HF)
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  - **Korean VLM Benchmarks:**
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+ - You can use the following benchmark datasets in the [LLMs-Eval toolkit](https://github.com/path/to/LLMs-Eval).
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  - [NCSOFT/K-MMBench](https://huggingface.co/datasets/NCSOFT/K-MMBench)
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  - [NCSOFT/K-SEED](https://huggingface.co/datasets/NCSOFT/K-SEED)
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  - [NCSOFT/K-MMStar](https://huggingface.co/datasets/NCSOFT/K-MMStar)
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  - [NCSOFT/K-DTCBench](https://huggingface.co/datasets/NCSOFT/K-DTCBench)
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  - [NCSOFT/K-LLaVA-W](https://huggingface.co/datasets/NCSOFT/K-LLaVA-W)
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+ - **you can also evaluate VARCO-VISION-14B in the [VLMEval kit](https://github.com/open-compass/VLMEvalKit)**.
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  - **This model is for research purposes only. Commercial use is prohibited.**
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  ## Uses