Update README.md
Browse files
README.md
CHANGED
|
@@ -14,6 +14,7 @@ tags:
|
|
| 14 |
**Model type:**
|
| 15 |
Eagle is a family of Vision-Centric High-Resolution Multimodal LLMs. It presents a thorough exploration to strengthen multimodal LLM perception with a mixture of vision encoders and different input resolutions. The model contains a channel-concatenation-based "CLIP+X" fusion for vision experts with different architectures (ViT/ConvNets) and knowledge (detection/segmentation/OCR/SSL). The resulting family of Eagle models support up to over 1K input resolution and obtain strong results on multimodal LLM benchmarks, especially resolution-sensitive tasks such as optical character recognition and document understanding.
|
| 16 |
|
|
|
|
| 17 |
|
| 18 |
|
| 19 |
|
|
|
|
| 14 |
**Model type:**
|
| 15 |
Eagle is a family of Vision-Centric High-Resolution Multimodal LLMs. It presents a thorough exploration to strengthen multimodal LLM perception with a mixture of vision encoders and different input resolutions. The model contains a channel-concatenation-based "CLIP+X" fusion for vision experts with different architectures (ViT/ConvNets) and knowledge (detection/segmentation/OCR/SSL). The resulting family of Eagle models support up to over 1K input resolution and obtain strong results on multimodal LLM benchmarks, especially resolution-sensitive tasks such as optical character recognition and document understanding.
|
| 16 |
|
| 17 |
+
[arXiv](TODO) / [Demo](https://huggingface.co/spaces/NVEagle/Eagle-X5-13B-Chat)
|
| 18 |
|
| 19 |
|
| 20 |
|