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from transformers import AutoTokenizer
from fastchat.conversation import get_conv_template
import os
from utils import sanitize_jinja2
import difflib
def test_llama2_template():
jinja_lines = []
with open("../templates/airoboros_v1.jinja2", "r") as f:
jinja_lines = f.readlines()
print("jinja_lines: ", jinja_lines)
print("sanitized: ", sanitize_jinja2(jinja_lines))
chat = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello, how are you?"},
{"role": "assistant", "content": "I'm doing great. How can I help you today?"},
{"role": "user", "content": "I'd like to show off how chat templating works!"},
]
tokenizer = AutoTokenizer.from_pretrained(pretrained_model_name_or_path="jondurbin/airoboros-l2-7b-gpt4-2.0", trust_remote_code=True)
# f"<|im_start|>system\n{system_message}<|im_end|>\n<|im_start|>user\n{user_message}<|im_end|>\n<|im_start|>assistant"
transformer_prompt = tokenizer.apply_chat_template(chat, tokenize=False)
print("default template")
print(transformer_prompt)
# print(tokenizer.chat_template)
# tokenizer.eos_token = "<|end_of_turn|>"
tokenizer.chat_template = sanitize_jinja2(jinja_lines)
transformer_prompt = tokenizer.apply_chat_template(chat, tokenize=False)
print()
print("add_generation_prompt False:")
print(transformer_prompt)
transformer_prompt = tokenizer.apply_chat_template(chat, tokenize=False, add_generation_prompt=True)
print()
print("add_generation_prompt True:")
print(transformer_prompt)
# transformer_prompt = tokenizer.apply_chat_template(chat, tokenize=True, add_generation_prompt=True)
# print(transformer_prompt)
print("Fastchat template: ")
conv = get_conv_template("airoboros_v1")
conv.set_system_message(chat[0]["content"])
conv.append_message(conv.roles[0], chat[1]["content"])
conv.append_message(conv.roles[1], chat[2]["content"])
conv.append_message(conv.roles[0], chat[3]["content"])
conv.append_message(conv.roles[1], None)
print(conv.get_prompt())
matcher = difflib.SequenceMatcher(a=transformer_prompt, b=conv.get_prompt())
print("Matching Sequences:")
for match in matcher.get_matching_blocks():
print("Match : {}".format(match))
print("Matching Sequence : {}".format(transformer_prompt[match.a:match.a+match.size]))
assert transformer_prompt == conv.get_prompt()
if __name__ == "__main__":
test_llama2_template() |