xiaoachen98/Open-LLaVA-NeXT
Open-source training implementation for LLaVA-NeXT series, a large vision-language multimodal model combining CLIP vision encoder with Vicuna/LLaMA3 LLMs.
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This repository provides an open-source implementation for training LLaVA-NeXT, a large multimodal model that combines a CLIP vision encoder with large language model backbones (Vicuna-7B, LLaMA3-8B). It includes pretraining and supervised fine-tuning stages with all training data and checkpoints released. The codebase builds on the original LLaVA with minimal modifications, making it easy to reproduce and extend the model for research purposes.
Frequently asked
- What is xiaoachen98/Open-LLaVA-NeXT?
- Open-source training implementation for LLaVA-NeXT series, a large vision-language multimodal model combining CLIP vision encoder with Vicuna/LLaMA3 LLMs.
- Is Open-LLaVA-NeXT open source?
- Yes — xiaoachen98/Open-LLaVA-NeXT is an open-source project tracked on heatdrop.
- What language is Open-LLaVA-NeXT written in?
- xiaoachen98/Open-LLaVA-NeXT is primarily written in Python.
- How popular is Open-LLaVA-NeXT?
- xiaoachen98/Open-LLaVA-NeXT has 438 stars on GitHub.
- Where can I find Open-LLaVA-NeXT?
- xiaoachen98/Open-LLaVA-NeXT is on GitHub at https://github.com/xiaoachen98/Open-LLaVA-NeXT.