Update README.md

README.md

@@ -11,7 +11,7 @@ tags:
 **Model Summary:** 
 
 
-Granite-3.3-8B-Base is a decoder-only language model with a 128K token context window. It improves upon Granite-3.1-8B-Base by adding support for Fill-in-the-Middle (FIM) using specialized tokens, enabling the model to generate content conditioned on both prefix and suffix. This makes it well-suited for tasks like code completion tasks.
+Granite-3.3-8B-Base is a decoder-only language model with a 128K token context window. It improves upon Granite-3.1-8B-Base by adding support for Fill-in-the-Middle (FIM) using specialized tokens, enabling the model to generate content conditioned on both prefix and suffix. This makes it well-suited for code completion tasks.
 
 
 
@@ -42,7 +42,7 @@ Then, copy the code snippet below to run the example.
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 device = "auto"
-model_path = "ibm-granite/granite-3.3-8B-base"
+model_path = "ibm-granite/granite-3.3-8b-base"
 tokenizer = AutoTokenizer.from_pretrained(model_path)
 # drop device_map if running on CPU
 model = AutoModelForCausalLM.from_pretrained(model_path, device_map=device)