Fuxiao commited on
Commit
35c02fb
1 Parent(s): 10c0d3e

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +8 -9
README.md CHANGED
@@ -14,13 +14,14 @@ 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
- [arXiv](TODO) / [Demo](https://huggingface.co/spaces/NVEagle/Eagle-X5-13B-Chat)
18
 
19
  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64618b9496259bec21d44704/BdAIMvo--yG7SpG5xDeYN.png)
20
 
21
  **Paper or resources for more information:**
22
  https://github.com/NVlabs/Eagle
23
 
 
 
24
  ```
25
  ```
26
 
@@ -35,14 +36,6 @@ https://github.com/NVlabs/Eagle
35
  **Where to send questions or comments about the model:**
36
  https://github.com/NVlabs/Eagle/issues
37
 
38
-
39
- ## Intended use
40
- **Primary intended uses:**
41
- The primary use of Eagle is research on large multimodal models and chatbots.
42
-
43
- **Primary intended users:**
44
- The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
45
-
46
  ## Model Architecture:
47
  **Architecture Type:** Transformer
48
 
@@ -57,6 +50,12 @@ The primary intended users of the model are researchers and hobbyists in compute
57
  **[Preferred/Supported] Operating System(s):** <br>
58
  Linux
59
 
 
 
 
 
 
 
60
 
61
  ## Ethical Considerations
62
  NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
 
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
  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64618b9496259bec21d44704/BdAIMvo--yG7SpG5xDeYN.png)
19
 
20
  **Paper or resources for more information:**
21
  https://github.com/NVlabs/Eagle
22
 
23
+ [arXiv](TODO) / [Demo](https://huggingface.co/spaces/NVEagle/Eagle-X5-13B-Chat)
24
+
25
  ```
26
  ```
27
 
 
36
  **Where to send questions or comments about the model:**
37
  https://github.com/NVlabs/Eagle/issues
38
 
 
 
 
 
 
 
 
 
39
  ## Model Architecture:
40
  **Architecture Type:** Transformer
41
 
 
50
  **[Preferred/Supported] Operating System(s):** <br>
51
  Linux
52
 
53
+ ## Intended use
54
+ **Primary intended uses:**
55
+ The primary use of Eagle is research on large multimodal models and chatbots.
56
+
57
+ **Primary intended users:**
58
+ The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
59
 
60
  ## Ethical Considerations
61
  NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.