28 lines
1.3 KiB
Python
28 lines
1.3 KiB
Python
from difflib import SequenceMatcher
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model_prompts = {
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"alpaca": "Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n{prompt}\n\n### Response:\n\n",
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"gpt4": "### Instruction:\n{prompt}\n\n### Response:\n",
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"hermes": "### Instruction:\n{prompt}\n\n### Response:\n",
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"oasst": "{prompt}",
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"orca": "### System:\nYou are an AI assistant that follows instruction extremely well. Help as much as you can.\n\n### User:\n{prompt}\n\n### Response:",
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"qlora": "### Human: {prompt}\n### Assistant:",
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"tulu": "\n{prompt}\n\n",
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"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.\n\nUSER: {prompt}\nASSISTANT:",
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"wizardlm": "{prompt}\n\n### Response:",
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}
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def template(model, prompt):
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max_ratio = 0
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closest_key = ""
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model_name = model.lower()
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# Find the specialized prompt with the closest name match
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for key in model_prompts.keys():
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ratio = SequenceMatcher(None, model_name, key).ratio()
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if ratio > max_ratio:
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max_ratio = ratio
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closest_key = key
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# Return the value of the closest match
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p = model_prompts.get(closest_key) # TODO: provide a better default template
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return p.format(prompt=prompt)
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