add templates to prompt command

template.py

@@ -0,0 +1,57 @@
+from difflib import SequenceMatcher
+
+model_prompts = {
+    "alpaca": """Below is an instruction that describes a task. Write a response that appropriately completes the request.
+
+### Instruction:
+{prompt}
+
+### Response:
+
+""",
+    "oasst": "<|prompter|>{prompt}<|endoftext|><|assistant|>",
+    "vicuna": """A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.
+
+USER: {prompt}
+ASSISTANT:""",
+    "hermes": """### Instruction:
+{prompt}
+
+### Response:
+""",
+    "gpt4": """### Instruction:
+{prompt}
+
+### Response:
+""",
+    "qlora": """### Human: {prompt}
+### Assistant:""",
+    "tulu": """<|user|>
+{prompt}
+<|assistant|>
+(include newline)""",
+    "wizardlm-7b": """{prompt}
+
+### Response:""",
+    "wizardlm-13b": """{prompt}
+
+### Response:""",
+    "wizardlm-30b": """{prompt}
+
+### Response:""",
+}
+
+
+def template(model, prompt):
+    max_ratio = 0
+    closest_key = ""
+    model_name = model.lower()
+    # Find the specialized prompt with the closest name match
+    for key in model_prompts.keys():
+        ratio = SequenceMatcher(None, model_name, key).ratio()
+        if ratio > max_ratio:
+            max_ratio = ratio
+            closest_key = key
+    # Return the value of the closest match
+    p = model_prompts.get(closest_key)  # .format(placeholder=prompt)
+    return p.format(prompt=prompt)