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import time |
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import pytest |
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from tests.utils import wrap_test_forked |
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from src.enums import source_prefix, source_postfix |
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from src.prompter import generate_prompt |
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example_data_point0 = dict(instruction="Summarize", |
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input="Ducks eat seeds by the lake, then swim in the lake where fish eat small animals.", |
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output="Ducks eat and swim at the lake.") |
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example_data_point1 = dict(instruction="Who is smarter, Einstein or Newton?", |
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output="Einstein.") |
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example_data_point2 = dict(input="Who is smarter, Einstein or Newton?", |
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output="Einstein.") |
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example_data_points = [example_data_point0, example_data_point1, example_data_point2] |
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@wrap_test_forked |
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def test_train_prompt(prompt_type='instruct', data_point=0): |
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example_data_point = example_data_points[data_point] |
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return generate_prompt(example_data_point, prompt_type, '', False, False) |
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@wrap_test_forked |
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def test_test_prompt(prompt_type='instruct', data_point=0): |
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example_data_point = example_data_points[data_point] |
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example_data_point.pop('output', None) |
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return generate_prompt(example_data_point, prompt_type, '', False, False) |
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@wrap_test_forked |
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def test_test_prompt2(prompt_type='human_bot', data_point=0): |
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example_data_point = example_data_points[data_point] |
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example_data_point.pop('output', None) |
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res = generate_prompt(example_data_point, prompt_type, '', False, False) |
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print(res, flush=True) |
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return res |
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prompt_fastchat = """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: Hello! ASSISTANT: Hi!</s>USER: How are you? ASSISTANT: I'm good</s>USER: Go to the market? ASSISTANT:""" |
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prompt_humanbot = """<human>: Hello!\n<bot>: Hi!\n<human>: How are you?\n<bot>: I'm good\n<human>: Go to the market?\n<bot>:""" |
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prompt_prompt_answer = "<|prompt|>Hello!<|endoftext|><|answer|>Hi!<|endoftext|><|prompt|>How are you?<|endoftext|><|answer|>I'm good<|endoftext|><|prompt|>Go to the market?<|endoftext|><|answer|>" |
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prompt_prompt_answer_openllama = "<|prompt|>Hello!</s><|answer|>Hi!</s><|prompt|>How are you?</s><|answer|>I'm good</s><|prompt|>Go to the market?</s><|answer|>" |
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prompt_mpt_instruct = """Below is an instruction that describes a task. Write a response that appropriately completes the request. |
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### Instruction |
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Hello! |
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### Response |
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Hi! |
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### Instruction |
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How are you? |
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### Response |
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I'm good |
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### Instruction |
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Go to the market? |
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### Response |
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""" |
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prompt_mpt_chat = """<|im_start|>system |
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A conversation between a user and an LLM-based AI assistant. The assistant gives helpful and honest answers. |
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<|im_end|><|im_start|>user |
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Hello!<|im_end|><|im_start|>assistant |
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Hi!<|im_end|><|im_start|>user |
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How are you?<|im_end|><|im_start|>assistant |
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I'm good<|im_end|><|im_start|>user |
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Go to the market?<|im_end|><|im_start|>assistant |
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""" |
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prompt_falcon = """User: Hello! |
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Assistant: Hi! |
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User: How are you? |
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Assistant: I'm good |
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User: Go to the market? |
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Assistant:""" |
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prompt_llama2 = """<s>[INST] Hello! [/INST] Hi! </s><s>[INST] How are you? [/INST] I'm good </s><s>[INST] Go to the market? [/INST]""" |
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prompt_llama2_sys = """<s>[INST] <<SYS>> |
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You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. |
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If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information. |
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<</SYS>> |
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Hello! [/INST] Hi! </s><s>[INST] How are you? [/INST] I'm good </s><s>[INST] Go to the market? [/INST]""" |
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prompt_llama2_pig = """<s>[INST] Who are you? [/INST] I am a big pig who loves to tell kid stories </s><s>[INST] Hello! [/INST] Hi! </s><s>[INST] How are you? [/INST] I'm good </s><s>[INST] Go to the market? [/INST]""" |
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prompt_beluga = """### User: |
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Hello! |
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### Assistant: |
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Hi! |
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### User: |
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How are you? |
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### Assistant: |
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I'm good |
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### User: |
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Go to the market? |
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### Assistant: |
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""" |
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prompt_beluga_sys = """### System: |
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You are Stable Beluga, an AI that follows instructions extremely well. Help as much as you can. Remember, be safe, and don't do anything illegal. |
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### User: |
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Hello! |
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### Assistant: |
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Hi! |
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### User: |
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How are you? |
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### Assistant: |
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I'm good |
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### User: |
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Go to the market? |
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### Assistant: |
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""" |
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prompt_falcon180 = """User: Hello! |
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Falcon: Hi! |
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User: How are you? |
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Falcon: I'm good |
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User: Go to the market? |
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Falcon:""" |
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prompt_falcon180_sys = """System: You are an intelligent and helpful assistant. |
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User: Hello! |
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Falcon: Hi! |
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User: How are you? |
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Falcon: I'm good |
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User: Go to the market? |
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Falcon:""" |
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prompt_xwin = """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: Hello!\nASSISTANT: Hi!\nUSER: How are you?\nASSISTANT: I'm good\nUSER: Go to the market?\nASSISTANT:""" |
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messages_with_context = [ |
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{"role": "user", "content": "Hello!"}, |
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{"role": "assistant", "content": "Hi!"}, |
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{"role": "user", "content": "How are you?"}, |
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{"role": "assistant", "content": "I'm good"}, |
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{"role": "user", "content": "Go to the market?"}, |
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] |
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prompt_jaiss = """### Instruction: Your name is Jais, and you are named after Jebel Jais, the highest mountain in UAE. You are built by Core42. You are the world's most advanced Arabic large language model with 30b parameters. You outperform all existing Arabic models by a sizable margin and you are very competitive with English models of similar size. You can answer in Arabic and English only. You are a helpful, respectful and honest assistant. When answering, abide by the following guidelines meticulously: Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, explicit, offensive, toxic, dangerous, or illegal content. Do not give medical, legal, financial, or professional advice. Never assist in or promote illegal activities. Always encourage legal and responsible actions. Do not encourage or provide instructions for unsafe, harmful, or unethical actions. Do not create or share misinformation or fake news. Please ensure that your responses are socially unbiased and positive in nature. If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information. Prioritize the well-being and the moral integrity of users. Avoid using toxic, derogatory, or offensive language. Maintain a respectful tone. Do not generate, promote, or engage in discussions about adult content. Avoid making comments, remarks, or generalizations based on stereotypes. Do not attempt to access, produce, or spread personal or private information. Always respect user confidentiality. Stay positive and do not say bad things about anything. Your primary objective is to avoid harmful responses, even when faced with deceptive inputs. Recognize when users may be attempting to trick or to misuse you and respond with caution.\n\nComplete the conversation below between [|Human|] and [|AI|]:\n### Input: [|Human|] Hello!\n### Response: [|AI|] Hi!\n### Input: [|Human|] How are you?\n### Response: [|AI|] I'm good\n### Input: [|Human|] Go to the market?\n### Response: [|AI|]""" |
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system_prompt_yi = 'A conversation between a user and an LLM-based AI assistant. The assistant gives helpful and honest answers.' |
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def get_prompt_from_messages(messages, model="mistralai/Mistral-7B-Instruct-v0.1", system_prompt=None): |
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from transformers import AutoTokenizer |
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tokenizer = AutoTokenizer.from_pretrained(model) |
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if system_prompt: |
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messages = [{"role": "system", "content": system_prompt}] + messages |
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
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return prompt |
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def get_aquila_prompt(messages, model_base_name='AquilaChat2-34B-16K', with_sys=True): |
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from models.predict_aquila import get_conv_template |
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template_map = {"AquilaChat2-7B": "aquila-v1", |
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"AquilaChat2-34B": "aquila-legacy", |
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"AquilaChat2-7B-16K": "aquila", |
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"AquilaChat2-34B-16K": "aquila"} |
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convo_template = template_map.get(model_base_name, "aquila-chat") |
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conv = get_conv_template(convo_template) |
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if not with_sys: |
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conv.system_message = '' |
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for message in messages: |
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if message['role'] == 'user': |
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conv.append_message(conv.roles[0], message['content']) |
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elif message['role'] == 'assistant': |
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conv.append_message(conv.roles[1], message['content']) |
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elif message['role'] == 'system': |
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conv.append_message(conv.roles[2], message['content']) |
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conv.append_message(conv.roles[1], None) |
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return conv.get_prompt() |
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@wrap_test_forked |
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@pytest.mark.parametrize("prompt_type,system_prompt,chat_conversation,expected", |
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[ |
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('vicuna11', 'auto', None, prompt_fastchat), |
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('human_bot', '', None, prompt_humanbot), |
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('prompt_answer', '', None, prompt_prompt_answer), |
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('prompt_answer_openllama', '', None, prompt_prompt_answer_openllama), |
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('mptinstruct', 'auto', None, prompt_mpt_instruct), |
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('mptchat', 'auto', None, prompt_mpt_chat), |
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('falcon', '', None, prompt_falcon), |
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('llama2', '', None, prompt_llama2), |
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('llama2', 'auto', None, prompt_llama2_sys), |
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('llama2', '', [('Who are you?', 'I am a big pig who loves to tell kid stories')], |
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prompt_llama2_pig), |
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('beluga', '', None, prompt_beluga), |
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('beluga', 'auto', None, prompt_beluga_sys), |
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('falcon_chat', '', None, prompt_falcon180), |
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('falcon_chat', 'auto', None, prompt_falcon180_sys), |
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('mistral', '', None, get_prompt_from_messages(messages_with_context)), |
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('zephyr', '', None, get_prompt_from_messages(messages_with_context, |
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model='HuggingFaceH4/zephyr-7b-beta')), |
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('zephyr', 'auto', None, get_prompt_from_messages(messages_with_context, |
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model='HuggingFaceH4/zephyr-7b-beta', |
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system_prompt='You are an AI that follows instructions extremely well and as helpful as possible.')), |
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('zephyr', 'I am a cute pixie.', None, get_prompt_from_messages(messages_with_context, |
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model='HuggingFaceH4/zephyr-7b-beta', |
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system_prompt='I am a cute pixie.')), |
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('xwin', 'auto', None, prompt_xwin), |
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('aquila', '', None, get_aquila_prompt(messages_with_context, with_sys=False, |
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model_base_name='AquilaChat2-34B-16K')), |
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('aquila', 'auto', None, get_aquila_prompt(messages_with_context, with_sys=True, |
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model_base_name='AquilaChat2-34B-16K')), |
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('aquila_legacy', 'auto', None, get_aquila_prompt(messages_with_context, with_sys=True, |
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model_base_name='AquilaChat2-34B')), |
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('aquila_v1', 'auto', None, get_aquila_prompt(messages_with_context, with_sys=True, |
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model_base_name='AquilaChat2-7B')), |
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('deepseek_coder', 'auto', None, get_prompt_from_messages(messages_with_context, |
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model='deepseek-ai/deepseek-coder-33b-instruct')), |
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('jais', 'auto', None, prompt_jaiss), |
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('yi', 'auto', None, |
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get_prompt_from_messages(messages_with_context, model='01-ai/Yi-34B-Chat', |
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system_prompt=system_prompt_yi)), |
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] |
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) |
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def test_prompt_with_context(prompt_type, system_prompt, chat_conversation, expected): |
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prompt_dict = None |
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langchain_mode = 'Disabled' |
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add_chat_history_to_context = True |
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chat = True |
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model_max_length = 2048 |
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memory_restriction_level = 0 |
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keep_sources_in_context = False |
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iinput = '' |
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stream_output = False |
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debug = False |
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from src.prompter import Prompter |
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from src.gen import history_to_context |
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t0 = time.time() |
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history = [["Hello!", "Hi!"], |
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["How are you?", "I'm good"], |
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["Go to the market?", None] |
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] |
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print("duration1: %s %s" % (prompt_type, time.time() - t0), flush=True) |
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t0 = time.time() |
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context = history_to_context(history, |
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langchain_mode=langchain_mode, |
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add_chat_history_to_context=add_chat_history_to_context, |
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prompt_type=prompt_type, |
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prompt_dict=prompt_dict, |
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model_max_length=model_max_length, |
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memory_restriction_level=memory_restriction_level, |
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keep_sources_in_context=keep_sources_in_context, |
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system_prompt=system_prompt, |
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chat_conversation=chat_conversation) |
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print("duration2: %s %s" % (prompt_type, time.time() - t0), flush=True) |
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t0 = time.time() |
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instruction = history[-1][0] |
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prompter = Prompter(prompt_type, prompt_dict, debug=debug, stream_output=stream_output, |
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system_prompt=system_prompt) |
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assert prompter.PreResponse |
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assert prompter.PreInstruct |
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assert prompter.botstr |
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assert prompter.humanstr |
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print("duration3: %s %s" % (prompt_type, time.time() - t0), flush=True) |
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t0 = time.time() |
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data_point = dict(context=context, instruction=instruction, input=iinput) |
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prompt = prompter.generate_prompt(data_point) |
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print(prompt) |
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print("duration4: %s %s" % (prompt_type, time.time() - t0), flush=True) |
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assert prompt == expected |
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assert prompt.find(source_prefix) == -1 |
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prompt_fastchat1 = """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: Go to the market? ASSISTANT:""" |
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prompt_humanbot1 = """<human>: Go to the market?\n<bot>:""" |
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prompt_prompt_answer1 = "<|prompt|>Go to the market?<|endoftext|><|answer|>" |
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prompt_prompt_answer_openllama1 = "<|prompt|>Go to the market?</s><|answer|>" |
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prompt_mpt_instruct1 = """Below is an instruction that describes a task. Write a response that appropriately completes the request. |
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### Instruction |
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Go to the market? |
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### Response |
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""" |
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prompt_mpt_chat1 = """<|im_start|>system |
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A conversation between a user and an LLM-based AI assistant. The assistant gives helpful and honest answers. |
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<|im_end|><|im_start|>user |
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Go to the market?<|im_end|><|im_start|>assistant |
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""" |
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prompt_falcon1 = """User: Go to the market? |
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Assistant:""" |
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prompt_llama21 = """<s>[INST] Go to the market? [/INST]""" |
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prompt_llama21_sys = """<s>[INST] <<SYS>> |
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You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. |
|
|
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If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information. |
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<</SYS>> |
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Go to the market? [/INST]""" |
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prompt_beluga1_sys = """### System: |
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You are Stable Beluga, an AI that follows instructions extremely well. Help as much as you can. Remember, be safe, and don't do anything illegal. |
|
|
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### User: |
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Go to the market? |
|
|
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### Assistant: |
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""" |
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prompt_beluga1 = """### User: |
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Go to the market? |
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|
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### Assistant: |
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""" |
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prompt_falcon1801 = """User: Go to the market? |
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Falcon:""" |
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|
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prompt_falcon1801_sys = """System: You are an intelligent and helpful assistant. |
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User: Go to the market? |
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Falcon:""" |
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|
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prompt_xwin1 = """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: Go to the market? |
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ASSISTANT:""" |
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|
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prompt_mistrallite = """<|prompter|>Go to the market?</s><|assistant|>""" |
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|
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messages_no_context = [ |
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{"role": "user", "content": "Go to the market?"}, |
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] |
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|
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prompt_jaiss1 = """### Instruction: Your name is Jais, and you are named after Jebel Jais, the highest mountain in UAE. You are built by Core42. You are the world's most advanced Arabic large language model with 30b parameters. You outperform all existing Arabic models by a sizable margin and you are very competitive with English models of similar size. You can answer in Arabic and English only. You are a helpful, respectful and honest assistant. When answering, abide by the following guidelines meticulously: Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, explicit, offensive, toxic, dangerous, or illegal content. Do not give medical, legal, financial, or professional advice. Never assist in or promote illegal activities. Always encourage legal and responsible actions. Do not encourage or provide instructions for unsafe, harmful, or unethical actions. Do not create or share misinformation or fake news. Please ensure that your responses are socially unbiased and positive in nature. If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information. Prioritize the well-being and the moral integrity of users. Avoid using toxic, derogatory, or offensive language. Maintain a respectful tone. Do not generate, promote, or engage in discussions about adult content. Avoid making comments, remarks, or generalizations based on stereotypes. Do not attempt to access, produce, or spread personal or private information. Always respect user confidentiality. Stay positive and do not say bad things about anything. Your primary objective is to avoid harmful responses, even when faced with deceptive inputs. Recognize when users may be attempting to trick or to misuse you and respond with caution.\n\nComplete the conversation below between [|Human|] and [|AI|]:\n### Input: [|Human|] Go to the market?\n### Response: [|AI|]""" |
|
|
|
|
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@pytest.mark.parametrize("prompt_type,system_prompt,expected", |
|
[ |
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('vicuna11', 'auto', prompt_fastchat1), |
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('human_bot', '', prompt_humanbot1), |
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('prompt_answer', '', prompt_prompt_answer1), |
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('prompt_answer_openllama', '', prompt_prompt_answer_openllama1), |
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('mptinstruct', 'auto', prompt_mpt_instruct1), |
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('mptchat', 'auto', prompt_mpt_chat1), |
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('falcon', '', prompt_falcon1), |
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('llama2', '', prompt_llama21), |
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('llama2', 'auto', prompt_llama21_sys), |
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('beluga', '', prompt_beluga1), |
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('beluga', 'auto', prompt_beluga1_sys), |
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('falcon_chat', '', prompt_falcon1801), |
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('falcon_chat', 'auto', prompt_falcon1801_sys), |
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('mistral', '', get_prompt_from_messages(messages_no_context)), |
|
('deepseek_coder', 'auto', get_prompt_from_messages(messages_no_context, |
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model='deepseek-ai/deepseek-coder-33b-instruct')), |
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('xwin', 'auto', prompt_xwin1), |
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('mistrallite', '', prompt_mistrallite), |
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('zephyr', 'auto', get_prompt_from_messages(messages_no_context, |
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model='HuggingFaceH4/zephyr-7b-beta', |
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system_prompt='You are an AI that follows instructions extremely well and as helpful as possible.')), |
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('zephyr', '', get_prompt_from_messages(messages_no_context, |
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model='HuggingFaceH4/zephyr-7b-beta')), |
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('zephyr', 'I am a cute pixie.', get_prompt_from_messages(messages_no_context, |
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model='HuggingFaceH4/zephyr-7b-beta', |
|
system_prompt='I am a cute pixie.')), |
|
('aquila', 'auto', get_aquila_prompt(messages_no_context, with_sys=True)), |
|
('aquila_legacy', 'auto', |
|
get_aquila_prompt(messages_no_context, with_sys=True, model_base_name='AquilaChat2-34B')), |
|
('aquila_v1', 'auto', |
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get_aquila_prompt(messages_no_context, with_sys=True, model_base_name='AquilaChat2-7B')), |
|
('jais', 'auto', prompt_jaiss1), |
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('yi', 'auto', get_prompt_from_messages(messages_no_context, model='01-ai/Yi-34B-Chat', |
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system_prompt=system_prompt_yi)), |
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] |
|
) |
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@wrap_test_forked |
|
def test_prompt_with_no_context(prompt_type, system_prompt, expected): |
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prompt_dict = None |
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chat = True |
|
iinput = '' |
|
stream_output = False |
|
debug = False |
|
|
|
from src.prompter import Prompter |
|
context = '' |
|
instruction = "Go to the market?" |
|
|
|
|
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prompter = Prompter(prompt_type, prompt_dict, debug=debug, stream_output=stream_output, |
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system_prompt=system_prompt) |
|
|
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assert prompter.PreResponse |
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assert prompter.PreInstruct |
|
assert prompter.botstr |
|
assert prompter.humanstr |
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data_point = dict(context=context, instruction=instruction, input=iinput) |
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prompt = prompter.generate_prompt(data_point) |
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print(prompt) |
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assert prompt == expected |
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assert prompt.find(source_prefix) == -1 |
|
|
|
|
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@wrap_test_forked |
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def test_source(): |
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prompt = "Who are you?%s\nFOO\n%s" % (source_prefix, source_postfix) |
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assert prompt.find(source_prefix) >= 0 |
|
|
|
|
|
|
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def falcon180_format_prompt(message, history, system_prompt): |
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prompt = "" |
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if system_prompt: |
|
prompt += f"System: {system_prompt}\n" |
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for user_prompt, bot_response in history: |
|
prompt += f"User: {user_prompt}\n" |
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prompt += f"Falcon: {bot_response}\n" |
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prompt += f"""User: {message} |
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Falcon:""" |
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return prompt |
|
|
|
|
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@wrap_test_forked |
|
def test_falcon180(): |
|
prompt = "Who are you?" |
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for system_prompt in ['', "Talk like a Pixie."]: |
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history = [["Who are you?", "I am Falcon, a monster AI model."], |
|
["What can you do?", "I can do well on leaderboard but not actually 1st."]] |
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formatted_prompt = falcon180_format_prompt(prompt, history, system_prompt) |
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print(formatted_prompt) |
|
|
