| language: | |
| - en | |
| license: cc-by-4.0 | |
| tags: | |
| - llava | |
| datasets: | |
| - taesiri/video-game-question-answering | |
| - taesiri/video-game-question-answering-mixtral-8x7b-instruct-v0-1 | |
| inference: false | |
| pipeline_tag: image-text-to-text | |
| <br> | |
| <br> | |
| # LLaVA-VideoGameVQA - Work In Progress - Model Card | |
| ## Model details | |
| **Model type:** | |
| LLaVA is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data. | |
| It is an auto-regressive language model, based on the transformer architecture. | |
| **Model date:** | |
| LLaVA-v1.5-13B-LoRA was trained in December 2023. | |
| **LoRA Weights** | |
| - [Checkpoint 1](https://huggingface.co/taesiri/llava-videogame-qa-lora-wip/tree/main/lora-checkpoints-1) trained on 28K question-answering pairs. Base Model: `liuhaotian/llava-v1.5-13b` | |
| - [Checkpoint 5](https://huggingface.co/taesiri/llava-videogame-qa-lora-wip/tree/main/lora-checkpoints-5) trained on 74K question-answering pairs. Base Model: `liuhaotian/llava-v1.5-13b` | |