Update README.md

README.md

@@ -16,7 +16,7 @@ inference: False
 
 This is a sharded checkpoint (with ~4GB shards) of the `stabilityai/stablelm-base-alpha-7b` model **in `8bit` precision** using `bitsandbytes`.
 
-Refer to the [original model](https://huggingface.co/stabilityai/stablelm-base-alpha-7b) for all details w.r.t. to the model. For more info on loading 8bit models, refer to the [example repo](https://huggingface.co/ybelkada/bloom-1b7-8bit) and/or the `4.28.0` [release info](https://github.com/huggingface/transformers/releases/tag/v4.28.0).
+Refer to the [original model](https://huggingface.co/stabilityai/stablelm-tuned-alpha-7b) for all details w.r.t. to the model. For more info on loading 8bit models, refer to the [example repo](https://huggingface.co/ybelkada/bloom-1b7-8bit) and/or the `4.28.0` [release info](https://github.com/huggingface/transformers/releases/tag/v4.28.0).
 
 - total model size is only ~7 GB!
 - this enables low-RAM loading, i.e. Colab :)
@@ -24,12 +24,13 @@ Refer to the [original model](https://huggingface.co/stabilityai/stablelm-base-a
 
 ## Basic Usage
 
-You can use this model as a drop-in replacement in the notebook for the standard sharded models:
-
 <a href="https://colab.research.google.com/gist/pszemraj/4bd75aa3744f2a02a5c0ee499932b7eb/sharded-stablelm-testing-notebook.ipynb">
   <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
 </a>
 
+You can use this model as a drop-in replacement in the notebook for the standard sharded models.
+
+
 ### Python
 
 Install/upgrade `transformers`, `accelerate`, and `bitsandbytes`. For this to work **you must have** `transformers>=4.28.0` and `bitsandbytes>0.37.2`.