Update README.md

README.md

@@ -12,7 +12,7 @@ base_model:
 - Qwen/Qwen2.5-Coder-3B
 ---
 
-# VeriReason-Qwen2.5-3B-Verilog-RTL-GRPO-reasoning-tb
+# VeriReason-Qwen2.5-3b-RTLCoder-Verilog-GRPO-reasoning-tb
 
 For implementation details, visit our GitHub repository: [VeriReason](https://github.com/NellyW8/VeriReason)
 
@@ -42,7 +42,7 @@ You can use the model with the transformers library:
 import torch
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
-model_name = "Nellyw888/VeriReason-Qwen2.5-3B-Verilog-RTL-GRPO-reasoning-tb"
+model_name = "Nellyw888/VeriReason-Qwen2.5-3b-RTLCoder-Verilog-GRPO-reasoning-tb"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16)
 model.eval()