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--- |
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inference: false |
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license: cc-by-4.0 |
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datasets: |
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- taesiri/video-game-question-answering |
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- taesiri/video-game-question-answering-mixtral-8x7b-instruct-v0-1 |
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language: |
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- en |
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pipeline_tag: visual-question-answering |
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--- |
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# LLaVA-VideoGameVQA - Work In Progress - Model Card |
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## Model details |
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**Model type:** |
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LLaVA is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data. |
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It is an auto-regressive language model, based on the transformer architecture. |
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**Model date:** |
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LLaVA-v1.5-13B-LoRA was trained in December 2023. |
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**LoRA Weights** |
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- [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` |
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- [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` |
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