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--- |
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license: apache-2.0 |
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datasets: |
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- tabtoyou/KoLLaVA-Instruct-150k |
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- tabtoyou/KoLLaVA-CC3M-Pretrain-595K |
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language: |
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- ko |
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library_name: transformers |
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tags: |
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- LLaVA |
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- KoVicuna |
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- KoLLaVA |
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- KoAlpaca |
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- CLIP |
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--- |
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# KoLLaVA : Korean Large Language and Vision Assistant (feat. LLaVA) |
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This model is a large multimodal model (LMM) that combines the LLM([KoVicuna](https://huggingface.co/junelee/ko_vicuna_7b)) with visual encoder of CLIP([ViT-14](https://huggingface.co/openai/clip-vit-large-patch14)), trained on [Korean visual-instruction dataset](https://huggingface.co/datasets/tabtoyou/KoLLaVA-Instruct-150k). |
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Detail codes are available at [KoLLaVA github repository](https://github.com/tabtoyou/KoLLaVA) |
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### Training hyperparameters |
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* learning rate : 2e-5 |
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* train_batch_size: 16 |
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* distributed_type: multi-GPU (A100 80G) |
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* num_devices: 4 |
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* gradient_accumulation_steps: 1 |
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* total_train_batch_size: 64 |
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* total_eval_batch_size: 16 |
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* lr_scheduler_type: cosine |
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* num_epochs: 1 |
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Model License: Apache License 2.0 |
