| language: | |
| - ko | |
| tags: | |
| - LLaVA | |
| - KOALA | |
| - Ko-LLaVA | |
| - llava | |
| pipeline_tag: image-text-to-text | |
| # Ko-LLaVA-13b : Korean Large Language and Vision Assistant for image description | |
| <div align="center"> | |
| <img src="https://dl.dropboxusercontent.com/scl/fi/lhf2gtwmtxhrtbupj40ra/img-kollava-i2t.png?rlkey=f3ezc1e4ka58t8qla1zls4qyn&dl=1" width="1024px" /> | |
| </div> | |
| <!-- | |
| <div align="center"> | |
| <img src="https://dl.dropboxusercontent.com/scl/fi/5j6m5xhyays58acvr8r1e/img-kollava-v2t.png?rlkey=j03b9t6g7gejcdes68t1lspjr&dl=1" width="1024px" /> | |
| </div> | |
| --> | |
| ## License | |
| Llama 2 is licensed under the LLAMA 2 Community License, | |
| Copyright (c) Meta Platforms, Inc. All Rights Reserved. | |
| ## Acknowledgement | |
| This work was supported by the Institute of Information & communications Technology Planning & Evaluation(IITP) grants funded by the Korea government(MSIT) (No. 2022- 0-00871, Development of AI Autonomy and Knowledge Enhancement for AI Agent Collaboration) and (No. RS- 2022-00187238, Development of Large Korean Language Model Technology for Efficient Pre-training). | |
| ## Contact | |
| Yong-Ju Lee([email protected]) |