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

Detail codes are available at [KoLLaVA github repository](https://github.com/tabtoyou/KoLLaVA)

### 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
{"language": ["ko"], "license": "apache-2.0", "library_name": "transformers", "tags": ["LLaVA", "KoVicuna", "KoLLaVA", "KoAlpaca", "CLIP"], "datasets": ["tabtoyou/KoLLaVA-Instruct-150k", "tabtoyou/KoLLaVA-CC3M-Pretrain-595K"]}
transformers pytorch llava text-generation LLaVA KoVicuna KoLLaVA KoAlpaca CLIP ko dataset:tabtoyou/KoLLaVA-Instruct-150k dataset:tabtoyou/KoLLaVA-CC3M-Pretrain-595K license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #llava #text-generation #LLaVA #KoVicuna #KoLLaVA #KoAlpaca #CLIP #ko #dataset-tabtoyou/KoLLaVA-Instruct-150k #dataset-tabtoyou/KoLLaVA-CC3M-Pretrain-595K #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 


# 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
# 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
TAGS
#transformers #pytorch #llava #text-generation #LLaVA #KoVicuna #KoLLaVA #KoAlpaca #CLIP #ko #dataset-tabtoyou/KoLLaVA-Instruct-150k #dataset-tabtoyou/KoLLaVA-CC3M-Pretrain-595K #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 # 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