Update README.md

README.md

@@ -206,7 +206,7 @@ print(result)
 import torch
 from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig
 
-model_name = "deepseek-ai/DeepSeek-V2-Chat-RL"
+model_name = "deepseek-ai/DeepSeek-V2-Chat"
 tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
 # `max_memory` should be set based on your devices
 max_memory = {i: "75GB" for i in range(8)}
@@ -223,8 +223,11 @@ outputs = model.generate(input_tensor.to(model.device), max_new_tokens=100)
 result = tokenizer.decode(outputs[0][input_tensor.shape[1]:], skip_special_tokens=True)
 print(result)
 ```
-The complete chat template can be founded within `tokenizer_config.json` located in the huggingface model repository/
+
+The complete chat template can be found within `tokenizer_config.json` located in the huggingface model repository.
+
 An example of chat template is as belows:
+
 ```bash
 <｜begin▁of▁sentence｜>User: {user_message_1}
 
@@ -232,7 +235,9 @@ Assistant: {assistant_message_1}<｜end▁of▁sentence｜>User: {user_message_2
 
 Assistant:
 ```
+
 You can also add an optional system message:
+
 ```bash
 <｜begin▁of▁sentence｜>{system_message}