vbatts/llama.cpp
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Fix handling pre-normalized tokens

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Billel Mokeddem 2024-12-22 20:12:46 +00:00
parent 92e41ec4b9
commit a1f146dba1
1 changed files with 5 additions and 4 deletions
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9
convert_hf_to_gguf.py
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@ -525,10 +525,9 @@ class Model:
else:
token: str = reverse_vocab[i]
if token in added_vocab:
# We need to manually encode and decode the added tokens in case special characters
# used for `\n` / `\t` have been manually added in the added tokens
# To avoid unexpected issues - we make sure to encode single-char tokens
if len(token) == 1:
# The tokenizer in llama.cpp assumes the CONTROL and USER_DEFINED tokens are pre-normalized.
# To avoid unexpected issues - we make sure to normalize non-normalized tokens
if not tokenizer.added_tokens_decoder[i].normalized:
previous_token = token
token = tokenizer.decode(tokenizer.encode(token, add_special_tokens=False))
if previous_token != token:
@ -537,6 +536,8 @@ class Model:
if tokenizer.added_tokens_decoder[i].special or self.does_token_look_special(token):
toktypes.append(gguf.TokenType.CONTROL)
else:
# NOTE: this was added for Gemma.
# Encoding and decoding the tokens above isn't sufficient for this case.
token = token.replace(b"\xe2\x96\x81".decode("utf-8"), " ") # pre-normalize user-defined spaces
toktypes.append(gguf.TokenType.USER_DEFINED)
else: