Upload README.md

README.md

@@ -19,7 +19,7 @@ model_creator: OpenChat
 model_name: Openchat 3.5 1210
 model_type: mistral
 pipeline_tag: text-generation
-prompt_template: 'GPT4 User: {prompt}<|end_of_turn|>GPT4 Assistant:
+prompt_template: 'GPT4 Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant:
 
   '
 quantized_by: TheBloke
@@ -84,10 +84,10 @@ It is supported by:
 <!-- repositories-available end -->
 
 <!-- prompt-template start -->
-## Prompt template: OpenChat
+## Prompt template: OpenChat-Correct
 
 ```
-GPT4 User: {prompt}<|end_of_turn|>GPT4 Assistant:
+GPT4 Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant:
 
 ```
 
@@ -153,7 +153,7 @@ prompts = [
     "What is 291 - 150?",
     "How much wood would a woodchuck chuck if a woodchuck could chuck wood?",
 ]
-prompt_template=f'''GPT4 User: {prompt}<|end_of_turn|>GPT4 Assistant:
+prompt_template=f'''GPT4 Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant:
 '''
 
 prompts = [prompt_template.format(prompt=prompt) for prompt in prompts]
@@ -195,7 +195,7 @@ from huggingface_hub import InferenceClient
 endpoint_url = "https://your-endpoint-url-here"
 
 prompt = "Tell me about AI"
-prompt_template=f'''GPT4 User: {prompt}<|end_of_turn|>GPT4 Assistant:
+prompt_template=f'''GPT4 Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant:
 '''
 
 client = InferenceClient(endpoint_url)
@@ -258,7 +258,7 @@ model = AutoModelForCausalLM.from_pretrained(
 streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
 
 prompt = "Tell me about AI"
-prompt_template=f'''GPT4 User: {prompt}<|end_of_turn|>GPT4 Assistant:
+prompt_template=f'''GPT4 Correct User: {prompt}<|end_of_turn|>GPT4 Correct Assistant:
 '''
 
 # Convert prompt to tokens