mistralai

/

Mistral-7B-Instruct-v0.1

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This PR should align the Hugging Face tokenizer with the tokenization in mistral-common. You can test it with the following script:

from mistral_common.protocol.instruct.request import ChatCompletionRequest
from mistral_common.tokens.tokenizers.mistral import MistralTokenizer
from transformers import AutoTokenizer

chat = [
    {"role": "system", "content": "You are a helpful bot"},
    {"role": "user", "content": "Hello"},
    {"role": "assistant", "content": "Hi there!"},
    {"role": "user", "content": "How are you?"},
    {"role": "assistant", "content": "Fine and you?"},
    {"role": "user", "content": "Fine thank you."},
]

mistral_tok = MistralTokenizer.v1()
hf_tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1", revision="pr/120")

hf_text = hf_tokenizer.apply_chat_template(chat, tokenize=False)
hf_tokens = hf_tokenizer.apply_chat_template(chat, tokenize=True)

mistral_encode = mistral_tok.encode_chat_completion(
  ChatCompletionRequest(messages=chat)
)
mistral_text = mistral_encode.text
mistral_tokens = mistral_encode.tokens

print(hf_tokens == mistral_tokens)
print(hf_text == mistral_text.replace("▁", " ").replace("<0x0A>", "\n"))

looks good!