vbatts/llama.cpp
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convert_hf : identify which user-defined tokens are control tokens

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Only used in _set_vocab_gpt2() for now.
This commit is contained in:
Francis Couture-Harpin 2024-07-07 16:59:00 -04:00
parent 56df1fcdcb
commit 6e351e0425
2 changed files with 15 additions and 10 deletions
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17
convert_hf_to_gguf.py
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@ -373,6 +373,18 @@ class Model:
except KeyError:
raise NotImplementedError(f'Architecture {arch!r} not supported!') from None
def does_token_look_special(self, token: str) -> bool:
# Some models mark some added tokens which ought to be control tokens as not special.
# (e.g. command-r, command-r-plus, deepseek-coder, gemma{,-2})
is_known_special = token in (
"<pad>", # deepseek-coder
"<mask>", "<2mass>", "[@BOS@]", # gemma{,-2}
)
# TODO: should these be marked as UNUSED instead?
is_known_special = is_known_special or (token.startswith("<unused") and token.endswith(">")) # gemma{,-2}
return is_known_special or (token.startswith(("<|", "<｜")) and token.endswith(("|>", "｜>")))
# used for GPT-2 BPE and WordPiece vocabs
def get_vocab_base(self) -> tuple[list[str], list[int], str]:
tokens: list[str] = []
@ -393,8 +405,9 @@ class Model:
tokens.append(f"[PAD{i}]")
toktypes.append(gguf.TokenType.USER_DEFINED)
elif reverse_vocab[i] in added_vocab:
tokens.append(reverse_vocab[i])
if tokenizer.added_tokens_decoder[i].special:
token: str = reverse_vocab[i]
tokens.append(token)
if tokenizer.added_tokens_decoder[i].special or self.does_token_look_special(token):
toktypes.append(gguf.TokenType.CONTROL)
else:
toktypes.append(gguf.TokenType.USER_DEFINED)