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KoLLaVA : Korean Large Language and Vision Assistant (feat. LLaVA)

This model is a large multimodal model (LMM) that combines the LLM(KoVicuna) with visual encoder of CLIP(ViT-14), trained on Korean visual-instruction dataset.

Detail codes are available at KoLLaVA github repository

Training hyperparameters

  • learning rate : 2e-5
  • train_batch_size: 16
  • distributed_type: multi-GPU (A100 80G)
  • num_devices: 4
  • gradient_accumulation_steps: 1
  • total_train_batch_size: 64
  • total_eval_batch_size: 16
  • lr_scheduler_type: cosine
  • num_epochs: 1

Model License: Apache License 2.0

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Datasets used to train tabtoyou/KoLLaVA-KoVicuna-7b