Update README.md
Browse files
README.md
CHANGED
|
@@ -3,7 +3,9 @@ library_name: transformers
|
|
| 3 |
tags: []
|
| 4 |
---
|
| 5 |
|
| 6 |
-
Moondream 3 (Preview) is vision language model with a mixture of experts architecture (9B total parameters, 2B active).
|
|
|
|
|
|
|
| 7 |
|
| 8 |
Architecture details:
|
| 9 |
|
|
@@ -13,7 +15,7 @@ Architecture details:
|
|
| 13 |
4. Multi-headed attention with learned position- and data-dependent temperature scaling
|
| 14 |
5. SigLIP-based vision encoder, with multi-crop channel concatenation for token-efficient high resolution image processing
|
| 15 |
|
| 16 |
-
For more details, please refer to
|
| 17 |
|
| 18 |
The following instructions demonstrate how to run the model locally using Transformers. We also offer a [cloud API](https://moondream.ai/c/docs/quickstart) with a generous free tier that can help you get started quicker!
|
| 19 |
|
|
|
|
| 3 |
tags: []
|
| 4 |
---
|
| 5 |
|
| 6 |
+
Moondream 3 (Preview) is an efficient vision language model with a mixture of experts architecture (9B total parameters, 2B active).
|
| 7 |
+
|
| 8 |
+
[✨ Demo](https://moondream.ai/c/playground) / [☁️ Cloud API](https://moondream.ai/c/docs/quickstart) / [📝 Release notes]()
|
| 9 |
|
| 10 |
Architecture details:
|
| 11 |
|
|
|
|
| 15 |
4. Multi-headed attention with learned position- and data-dependent temperature scaling
|
| 16 |
5. SigLIP-based vision encoder, with multi-crop channel concatenation for token-efficient high resolution image processing
|
| 17 |
|
| 18 |
+
For more details, please refer to the **release notes** (coming soon). Or try the model out in our [playground demo](https://moondream.ai/c/playground).
|
| 19 |
|
| 20 |
The following instructions demonstrate how to run the model locally using Transformers. We also offer a [cloud API](https://moondream.ai/c/docs/quickstart) with a generous free tier that can help you get started quicker!
|
| 21 |
|