typos

README.md

@@ -9,12 +9,13 @@ tags:
 - sharded
 - 8-bit
 - quantized
-inference: False
+- tuned
+inference: false
 ---
 
 # stablelm-tuned-alpha-7b-sharded-8bit
 
-This is a sharded checkpoint (with ~4GB shards) of the `stabilityai/stablelm-base-alpha-7b` model **in `8bit` precision** using `bitsandbytes`.
+This is a sharded checkpoint (with ~4GB shards) of the `stabilityai/stablelm-tuned-alpha-7b` model **in `8bit` precision** using `bitsandbytes`.
 
 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).
 
@@ -44,8 +45,8 @@ Load the model. As it is serialized in 8bit you don't need to do anything specia
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
-model_name = "ethzanalytics/stablelm-base-alpha-7b-sharded-8bit"
+model_name = "ethzanalytics/stablelm-tuned-alpha-7b-sharded-8bit"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 
 model = AutoModelForCausalLM.from_pretrained(model_name)
-```
+```