Update README.md

README.md

@@ -43,15 +43,15 @@ Thanks so much for your attention, a report with all the technical details leadi
 The code of Hammer 2.1 models have been in the latest Hugging face transformers and we advise you to install `transformers>=4.34.0`.
 
 ## How to Use
-Hammer2.1 models offer flexibility in deployment and usage, fully supporting both vLLM deployment and Hugging Face Transformers tool calling. For more detailed examples and use cases, please refer to the [Examples/README_USING.md](https://github.com/MadeAgents/Hammer/tree/main/Examples/README_USING.md) in our repository. 
+Hammer2.1 models offer flexibility in deployment and usage, fully supporting both vLLM deployment and Hugging Face Transformers tool calling. For more detailed examples and use cases, please refer to the [examples/README_USING.md](https://github.com/MadeAgents/Hammer/tree/main/examples/README_USING.md) in our repository. 
 This is a simple example of how to use our model.
 ~~~python
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
 
-tokenizer = AutoTokenizer.from_pretrained("MadeAgents/Hammer2.1-1.5b")
-model = AutoModelForCausalLM.from_pretrained("MadeAgents/Hammer2.1-1.5b", torch_dtype=torch.bfloat16, device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained("MadeAgents/Hammer2.1-0.5b")
+model = AutoModelForCausalLM.from_pretrained("MadeAgents/Hammer2.1-0.5b", torch_dtype=torch.bfloat16, device_map="auto")
 
 # Example conversation
 messages = [