Update README.md

README.md

@@ -22,6 +22,14 @@ This is a copy of the original [Molmo 7B-D model card](https://huggingface.co/al
 
 **Note: The following implementation is a community-contributed endpoint handler and is not an official implementation. For the official model and its usage, please refer to the [official Molmo 7B-D model page](https://huggingface.co/allenai/Molmo-7B-D-0924).**
 
+You should see a `Deploy` via Inference Endpoints option at the top of this model card. 
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/60107b385ac3e86b3ea4fc34/kHR0wO_GchczmsmHtjJ1u.png)
+
+Currently, this handler uses `bloat16` for inference. The original authors found some differences in results vs using `float32` weights. 
+I didn't find results that degraded much in my initial experiments, but I may change this implementation in the future. 
+
+
 If you've deployed the model using Hugging Face's Inference Endpoints with a community-contributed handler, you can use it with the following code:
 
 ```python