Upload README.md

README.md

@@ -6,15 +6,16 @@ license_name: microsoft-research-license
 model_creator: Jeb Carter
 model_name: Psyonic Cetacean 20B
 model_type: llama
-prompt_template: '<|im_start|>system
+prompt_template: 'Below is an instruction that describes a task. Write a response
+  that appropriately completes the request.
 
-  {system_message}<|im_end|>
 
-  <|im_start|>user
+  ### Instruction:
 
-  {prompt}<|im_end|>
+  {prompt}
 
-  <|im_start|>assistant
+
+  ### Response:
 
   '
 quantized_by: TheBloke
@@ -77,14 +78,15 @@ It is supported by:
 <!-- repositories-available end -->
 
 <!-- prompt-template start -->
-## Prompt template: ChatML
+## Prompt template: Alpaca
 
 ```
-<|im_start|>system
-{system_message}<|im_end|>
-<|im_start|>user
-{prompt}<|im_end|>
-<|im_start|>assistant
+Below is an instruction that describes a task. Write a response that appropriately completes the request.
+
+### Instruction:
+{prompt}
+
+### Response:
 
 ```
 
@@ -157,11 +159,12 @@ 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'''Below is an instruction that describes a task. Write a response that appropriately completes the request.
+
+### Instruction:
+{prompt}
+
+### Response:
 '''
 
 prompts = [prompt_template.format(prompt=prompt) for prompt in prompts]
@@ -203,11 +206,12 @@ 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'''Below is an instruction that describes a task. Write a response that appropriately completes the request.
+
+### Instruction:
+{prompt}
+
+### Response:
 '''
 
 client = InferenceClient(endpoint_url)
@@ -270,11 +274,12 @@ 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'''Below is an instruction that describes a task. Write a response that appropriately completes the request.
+
+### Instruction:
+{prompt}
+
+### Response:
 '''
 
 # Convert prompt to tokens