File size: 1,463 Bytes
8b5efe3 475c62d 8b5efe3 475c62d e722df2 475c62d e722df2 475c62d e722df2 475c62d e722df2 475c62d f4077b7 475c62d e722df2 475c62d e722df2 475c62d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 |
---
inference: false
license: apache-2.0
---
<br>
# LLaVA-Next-Video Model Card
## Model details
**Model type:**
<br>
LLaVA-Next-Video is an open-source chatbot trained by fine-tuning LLM on multimodal instruction-following data.
<br>
Base LLM: [NousResearch/Nous-Hermes-2-Yi-34B](https://huggingface.co/NousResearch/Nous-Hermes-2-Yi-34B)
**Model date:**
<br>
LLaVA-Next-Video-34B was trained in April 2024.
**Paper or resources for more information:**
<br>
https://github.com/LLaVA-VL/LLaVA-NeXT
## License
[NousResearch/Nous-Hermes-2-Yi-34B](https://huggingface.co/NousResearch/Nous-Hermes-2-Yi-34B) license.
## Where to send questions or comments about the model
https://github.com/LLaVA-VL/LLaVA-NeXT/issues
## Intended use
**Primary intended uses:**
<br>
The primary use of LLaVA is research on large multimodal models and chatbots.
**Primary intended users:**
<br>
The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
## Training dataset
### Image
- 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.
- 158K GPT-generated multimodal instruction-following data.
- 500K academic-task-oriented VQA data mixture.
- 50K GPT-4V data mixture.
- 40K ShareGPT data.
### Video
- 100K VideoChatGPT-Instruct.
## Evaluation dataset
A collection of 4 benchmarks, including 3 academic VQA benchmarks and 1 captioning benchmark. |