llava-hf
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llava-v1.6-34b-hf

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-library_name: transformers
-tags: []
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 ---
+tags:
+- vision
+- image-text-to-text
 ---
+NOTE: this model can only be used once https://github.com/huggingface/transformers/pull/29012 is merged
+# LLaVa-Next, leveraging [NousResearch/Nous-Hermes-2-Yi-34B](https://huggingface.co/NousResearch/Nous-Hermes-2-Yi-34B) as LLM
+The LLaVA-NeXT model was proposed in [LLaVA-NeXT: Improved reasoning, OCR, and world knowledge](https://llava-vl.github.io/blog/2024-01-30-llava-next/) by Haotian Liu, Chunyuan Li, Yuheng Li, Bo Li, Yuanhan Zhang, Sheng Shen, Yong Jae Lee. LLaVa-NeXT (also called LLaVa-1.6) improves upon [LLaVa](llava) by increasing the input image resolution and training on an improved visual instruction tuning dataset to improve OCR and common sense reasoning.
+Disclaimer: The team releasing LLaVa-NeXT did not write a model card for this model so this model card has been written by the Hugging Face team.
+## Model description
+LLaVa combines a pre-trained large language model with a pre-trained vision encoder for multimodal chatbot use cases.
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/62441d1d9fdefb55a0b7d12c/FPshq08TKYD0e-qwPLDVO.png)
+## Intended uses & limitations
+You can use the raw model for tasks like image captioning, visual question answering, multimodal chatbot use cases. See the [model hub](https://huggingface.co/models?search=llava-hf) to look for
+other versions on a task that interests you.
+### How to use
+We refer to the [documentation](https://huggingface.co/transformers/main/model_doc/llava_next.html#).
+### BibTeX entry and citation info
+```bibtex
+@misc{liu2023improved,
+      title={Improved Baselines with Visual Instruction Tuning},
+      author={Haotian Liu and Chunyuan Li and Yuheng Li and Yong Jae Lee},
+      year={2023},
+      eprint={2310.03744},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV}
+}
+```