Upload README.md

README.md

@@ -13,15 +13,12 @@ model_creator: Jeonghwan Park
 model_name: Pivot 0.1 Evil A
 model_type: mistral
 pipeline_tag: text-generation
-prompt_template: '<|im_start|>system
+prompt_template: '### Instruction:
 
-  {system_message}<|im_end|>
+  {prompt}
 
-  <|im_start|>user
 
-  {prompt}<|im_end|>
-
-  <|im_start|>assistant
+  ### Response:
 
   '
 quantized_by: TheBloke
@@ -82,14 +79,13 @@ It is supported by:
 <!-- repositories-available end -->
 
 <!-- prompt-template start -->
-## Prompt template: ChatML
+## Prompt template: Alpaca-InstructOnly2
 
 ```
-<|im_start|>system
-{system_message}<|im_end|>
-<|im_start|>user
-{prompt}<|im_end|>
-<|im_start|>assistant
+### Instruction:
+{prompt}
+
+### Response:
 
 ```
 
@@ -155,11 +151,10 @@ prompts = [
     "What is 291 - 150?",
     "How much wood would a woodchuck chuck if a woodchuck could chuck wood?",
 ]
-prompt_template=f'''<|im_start|>system
-{system_message}<|im_end|>
-<|im_start|>user
-{prompt}<|im_end|>
-<|im_start|>assistant
+prompt_template=f'''### Instruction:
+{prompt}
+
+### Response:
 '''
 
 prompts = [prompt_template.format(prompt=prompt) for prompt in prompts]
@@ -201,11 +196,10 @@ from huggingface_hub import InferenceClient
 endpoint_url = "https://your-endpoint-url-here"
 
 prompt = "Tell me about AI"
-prompt_template=f'''<|im_start|>system
-{system_message}<|im_end|>
-<|im_start|>user
-{prompt}<|im_end|>
-<|im_start|>assistant
+prompt_template=f'''### Instruction:
+{prompt}
+
+### Response:
 '''
 
 client = InferenceClient(endpoint_url)
@@ -268,11 +262,10 @@ model = AutoModelForCausalLM.from_pretrained(
 streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
 
 prompt = "Tell me about AI"
-prompt_template=f'''<|im_start|>system
-{system_message}<|im_end|>
-<|im_start|>user
-{prompt}<|im_end|>
-<|im_start|>assistant
+prompt_template=f'''### Instruction:
+{prompt}
+
+### Response:
 '''
 
 # Convert prompt to tokens