aditya/llama.cpp
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Use tokenizer.vocab_size() instead of hardcoding 32000 in convert-pth-to-ggml.py (#142)

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There are ways that special tokens or other new tokens could be added to the tokenizer; therefore it's probably best not to assume the vocabulary is only 32000 tokens.
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Ronsor 2023-03-15 12:37:50 -07:00 committed by GitHub
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convert-pth-to-ggml.py
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@ -99,7 +99,7 @@ for p in range(n_parts):
fout.write(struct.pack("i", ftype)) fout.write(struct.pack("i", ftype))
# Is this correct?? # Is this correct??
for i in range(32000): for i in range(tokenizer.vocab_size()):
if tokenizer.is_unknown(i): if tokenizer.is_unknown(i):
# "<unk>" token (translated as ??) # "<unk>" token (translated as ??)
text = " \u2047 ".encode("utf-8") text = " \u2047 ".encode("utf-8")