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  <!-- Provide a quick summary of what the model is/does. -->
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  A reproduced LLaVA LVLM based on Llama-3-8B LLM backbone. Not an official implementation.
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- Please follow my reproduced implementation [LLaVA-Llama-Video-3](https://github.com/Victorwz/LLaVA-Video-Llama-3/) for more details on fine-tuning LLaVA model with Llama-3 as the foundatiaon LLM.
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  ## Updates
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  - [5/14/2024] The codebase has been upgraded to llava-next (llava-v1.6). Now it supports the latest llama-3, phi-3, mistral-v0.1-7b models.
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  ```
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  # Fine-Tune LLaVA-Llama-3 on Your Visual Instruction Data
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- Please refer to our [LLaVA-Video-Llama-3](https://github.com/Victorwz/LLaVA-Video-Llama-3) git repo for fine-tuning data preparation and scripts. The data loading function and fastchat conversation template are changed due to a different tokenizer.
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  ## Benchmark Results
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  <!-- Provide a quick summary of what the model is/does. -->
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  A reproduced LLaVA LVLM based on Llama-3-8B LLM backbone. Not an official implementation.
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+ Please follow my reproduced implementation [LLaVA-Unified](https://github.com/Victorwz/LLaVA-Unified) for more details on fine-tuning LLaVA model with Llama-3 as the foundatiaon LLM.
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  ## Updates
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  - [5/14/2024] The codebase has been upgraded to llava-next (llava-v1.6). Now it supports the latest llama-3, phi-3, mistral-v0.1-7b models.
 
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  ```
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  # Fine-Tune LLaVA-Llama-3 on Your Visual Instruction Data
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+ Please refer to our [LLaVA-Unified](https://github.com/Victorwz/LLaVA-Unified) git repo for fine-tuning data preparation and scripts. The data loading function and fastchat conversation template are changed due to a different tokenizer.
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  ## Benchmark Results
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