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convert : handle tokenizer merges format from transformers 4.45 (#9696)

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compilade 2024-10-03 10:22:15 -04:00 committed by GitHub
parent 841713e1e4
commit e3c355ba65
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1 changed files with 24 additions and 2 deletions
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24
gguf-py/gguf/vocab.py
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@ -122,8 +122,30 @@ class SpecialVocab:
tokenizer = json.load(f)
if self.load_merges:
merges = tokenizer.get('model', {}).get('merges')
if isinstance(merges, list) and merges and isinstance(merges[0], str):
if isinstance(merges, list) and merges:
if isinstance(merges[0], str):
self.merges = merges
elif isinstance(merges[0], list) and len(merges[0]) == 2 and isinstance(merges[0][0], str):
# New format since transformers 4.45 to support spaces in merges
# ref: https://github.com/ggerganov/llama.cpp/issues/9692
# TODO: internally store as the new format instead of converting to old
if any(' ' in s for pair in merges for s in pair):
logger.warning(f'Spaces in merges detected, encoding as {chr(ord(" ") + 256)!r}')
self.merges = [
' '.join(
[
# ensure the spaces are properly encoded
''.join(
chr(ord(c) + 256) if c == ' ' else c
for c in part
)
for part in pair
]
)
for pair in merges
]
else:
raise ValueError("Unknown tokenizer merges format")
added_tokens = tokenizer.get('added_tokens', {})
else:
added_tokens = {}