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 ## Release
 
-- [2024/05/10] 🔥 **LLaVA-NeXT** (Stronger) models are released, stronger LMM with support of LLama-3 (8B) and Qwen-1.5 (72B/110B). [[Blog](https://llava-vl.github.io/blog/2024-05-10-llava-next-stronger-llms/)] [[checkpoints](https://huggingface.co/collections/lmms-lab/llava-next-6623288e2d61edba3ddbf5ff)] [[Checkpoints](https://huggingface.co/collections/lmms-lab/llava-next-video-661e86f5e8dabc3ff793c944)] [[Demo](https://llava-next.lmms-lab.com/)] [[Code](https://github.com/LLaVA-VL/LLaVA-NeXT/)] 
+- [2024/05/10] 🔥 **LLaVA-NeXT** (Stronger) models are released, stronger LMM with support of LLama-3 (8B) and Qwen-1.5 (72B/110B). [[Blog](https://llava-vl.github.io/blog/2024-05-10-llava-next-stronger-llms/)] [[Checkpoints](https://huggingface.co/collections/lmms-lab/llava-next-6623288e2d61edba3ddbf5ff)] [[Demo](https://llava-next.lmms-lab.com/)] [[Code](https://github.com/LLaVA-VL/LLaVA-NeXT/)] 
 - [2024/05/10] 🔥 **LLaVA-NeXT** (Video) is released. The image-only-trained LLaVA-NeXT model is surprisingly strong on video tasks with zero-shot modality transfer. DPO training with AI feedback on videos can yield significant improvement. [[Blog](https://llava-vl.github.io/blog/2024-04-30-llava-next-video/)] [[Checkpoints](https://huggingface.co/collections/lmms-lab/llava-next-video-661e86f5e8dabc3ff793c944)] [[Code](https://github.com/LLaVA-VL/LLaVA-NeXT/)]
 - [03/10] Releasing **LMMs-Eval**, a highly efficient evaluation pipeline we used when developing LLaVA-NeXT. It supports the evaluation of LMMs on dozens of public datasets and allows new dataset onboarding, making the dev of new LMMs much faster. [[Blog](https://lmms-lab.github.io/lmms-eval-blog/lmms-eval-0.1/)] [[Codebase](https://github.com/EvolvingLMMs-Lab/lmms-eval)]
 - [1/30] 🔥 **LLaVA-NeXT** (LLaVA-1.6) is out! With additional scaling to LLaVA-1.5, LLaVA-NeXT-34B outperforms Gemini Pro on some benchmarks. It can now process 4x more pixels and perform more tasks/applications than before. Check out the [blog post](https://llava-vl.github.io/blog/2024-01-30-llava-next/), and explore the [demo](https://llava.hliu.cc/)! Models are available in [Model Zoo](https://github.com/haotian-liu/LLaVA/blob/main/docs/MODEL_ZOO.md). Training/eval data and scripts coming soon.