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Mistral-7B-v0.3

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This is the git diff to support this, use LlamaTokenizer.from_pretrained("tokenizer.model.v3", legacy=False), then converted to fast.

diff --git a/src/transformers/convert_slow_tokenizer.py b/src/transformers/convert_slow_tokenizer.py
index 4b0a53b704..a1346d4c0c 100644
--- a/src/transformers/convert_slow_tokenizer.py
+++ b/src/transformers/convert_slow_tokenizer.py
@@ -1385,6 +1385,7 @@ class LlamaConverter(SpmConverter):
                     AddedToken(self.original_tokenizer.convert_ids_to_tokens(2), normalized=False, special=True),
                 ]
             )
+            tokenizer.add_special_tokens(list(proto.trainer_spec.control_symbols))
         else:
             raise Exception(
                 "You're trying to run a `Unigram` model but you're file was trained with a different algorithm"