Added bpe tokenizer.
This commit is contained in:
Pavel Kirilin
1
.gitignore
vendored
1
.gitignore
vendored
@ -1,4 +1,5 @@
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# Byte-compiled / optimized / DLL files
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data/
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__pycache__/
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*.py[codz]
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*$py.class
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from pathlib import Path
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from llmfs.tokenizers import BPETokenizer
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DATA_DIR = Path(__file__).parent.parent / "data"
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def process_text(text: str):
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# tokenizer = SimpleTokenizerV1.build(text)
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print("Building tokenizer")
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tokenier = BPETokenizer.build("th is")
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print("Vocab size", len(tokenier.forward))
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to_enc = "this"
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enc = tokenier.encode(to_enc)
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print("Text len", sum(len(txt) for txt in to_enc))
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print("Tokens", len(enc))
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print(tokenier.decode(enc))
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def main():
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raw_text = (DATA_DIR / "the-verdict.txt").read_text()
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process_text(raw_text)
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if __name__ == "__main__":
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main()
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4
llmfs/tokenizers/__init__.py
Normal file
4
llmfs/tokenizers/__init__.py
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from .stoopid import StoopidTokenizer
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from .bpe import BPETokenizer
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__all__ = ["BPETokenizer", "StoopidTokenizer"]
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103
llmfs/tokenizers/bpe.py
Normal file
103
llmfs/tokenizers/bpe.py
Normal file
@ -0,0 +1,103 @@
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from collections import Counter
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import re
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from typing import Self
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class BPETokenizer:
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SPLIT_PAT: re.Pattern[str] = re.compile(r"([,\.!?\"'\(\)\[\]\{\}_;:]|--|\s)")
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UNKNOWN_TOKEN: str = "<|unknowntoken|>"
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END_OF_TEXT: str = "<|endoftext|>"
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def __init__(self, vocabulary: dict[str, int]) -> None:
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self.forward: dict[str, int] = vocabulary
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self.reverse: dict[int, str] = {idx: token for token, idx in vocabulary.items()}
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self.unk_token: int = self.forward[self.UNKNOWN_TOKEN]
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@classmethod
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def build(cls, text: str, target_vocab_size: int = -1) -> Self:
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preprocessed = list(
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filter(bool, map(lambda x: x.lower().strip(), cls.SPLIT_PAT.split(text)))
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)
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pre_vocab: set[str] = set()
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for word in preprocessed:
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pre_vocab |= set(word)
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vocab: list[str] = sorted(pre_vocab)
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all_words = [list(word) for word in preprocessed]
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while True:
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if target_vocab_size > 0 and len(vocab) >= target_vocab_size:
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break
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pairs = Counter()
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for word in all_words:
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for i in range(len(word) - 1):
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pairs["".join((word[i], word[i + 1]))] += 1
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mc = pairs.most_common(1)
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if not mc:
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break
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[(mc_pair, _)] = mc
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vocab.append("".join(mc_pair))
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new_words: list[list[str]] = []
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for word in all_words:
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new_word: list[str] = []
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i = 0
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while i < len(word):
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if i + 1 == len(word):
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new_word.append(word[i])
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break
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pair = "".join((word[i], word[i + 1]))
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if pair == mc_pair:
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new_word.append("".join(pair))
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i += 2
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continue
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new_word.append(word[i])
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i += 1
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if not new_word:
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continue
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new_words.append(new_word)
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all_words = new_words
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vocab.extend([" ", cls.UNKNOWN_TOKEN, cls.END_OF_TEXT])
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vocab_dict = {token: i for i, token in enumerate(vocab)}
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return cls(vocab_dict)
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def _encode_word(self, word: str) -> list[int]:
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parts = list(word.strip())
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start_part_idx = 0
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encoded: list[int] = []
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while start_part_idx < len(parts):
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found = False
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for i in range(len(parts), start_part_idx, -1):
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token = self.forward.get("".join(parts[start_part_idx:i]))
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if token is not None:
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found = True
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encoded.append(token)
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start_part_idx = i
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break
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if not found:
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token = self.forward.get(parts[start_part_idx])
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if token is None:
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token = self.forward[self.UNKNOWN_TOKEN]
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encoded.append(token)
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start_part_idx += 1
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return encoded
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def encode(self, text: str | list[str]) -> list[int]:
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if isinstance(text, list):
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text = f" {self.END_OF_TEXT} ".join(text)
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preprocessed: list[str] = list(
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filter(bool, map(lambda x: x.lower().strip(), self.SPLIT_PAT.split(text)))
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)
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tokens: list[int] = []
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for word in preprocessed:
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if tokens:
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tokens.append(self.forward[" "])
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tokens.extend(self._encode_word(word))
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return tokens
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def decode(self, data: list[int]) -> str:
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text = "".join(
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[self.reverse.get(token) or self.UNKNOWN_TOKEN for token in data]
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)
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return re.sub(r"\s+([\,\.:;\?\!\"\'\(\)\[\]\{\}])", r"\1", text)
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36
llmfs/tokenizers/stoopid.py
Normal file
36
llmfs/tokenizers/stoopid.py
Normal file
@ -0,0 +1,36 @@
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import re
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from typing import Self
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class StoopidTokenizer:
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SPLIT_PAT: re.Pattern[str] = re.compile(r"([,\.!?\"'\(\)\[\]\{\}_;:]|--|\s)")
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UNKNOWN_TOKEN: str = "<|unk|>"
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EOT: str = "<|endoftext|>"
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def __init__(self, vocabulary: dict[str, int]):
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self.forward: dict[str, int] = vocabulary
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self.backward: dict[int, str] = {i: v for v, i in vocabulary.items()}
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@classmethod
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def build(cls, text: str) -> Self:
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preprocessed = list(
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filter(bool, map(lambda x: x.strip(), cls.SPLIT_PAT.split(text)))
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)
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all_tokens = sorted(set(preprocessed))
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all_tokens.extend([cls.EOT, cls.UNKNOWN_TOKEN])
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vocabulary = {token: i for i, token in enumerate(all_tokens)}
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return cls(vocabulary)
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def encode(self, text: str) -> list[int]:
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tokens = list(
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filter(bool, map(lambda x: x.strip(), self.SPLIT_PAT.split(text)))
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)
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unk = self.forward[self.UNKNOWN_TOKEN]
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return list(filter(None, [self.forward.get(word, unk) for word in tokens]))
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def decode(self, tokens: list[int]) -> str:
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unk = self.backward[self.forward[self.UNKNOWN_TOKEN]]
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text = " ".join(
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filter(None, (self.backward.get(token, unk) for token in tokens))
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)
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return re.sub(r"\s+([\,\.:;\?\!\"\'\(\)\[\]\{\}])", r"\1", text)
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@ -1,7 +1,9 @@
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[project]
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name = "llmfs"
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version = "0.1.0"
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description = "Add your description here"
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description = "LLM from scratch"
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readme = "README.md"
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requires-python = ">=3.13"
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dependencies = []
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dependencies = [
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"tiktoken>=0.12.0",
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]
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225
uv.lock
generated
Normal file
225
uv.lock
generated
Normal file
@ -0,0 +1,225 @@
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version = 1
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revision = 3
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requires-python = ">=3.13"
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[[package]]
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name = "certifi"
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version = "2026.4.22"
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source = { registry = "https://pypi.org/simple" }
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]
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[[package]]
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name = "charset-normalizer"
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version = "3.4.7"
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source = { registry = "https://pypi.org/simple" }
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Reference in New Issue
Block a user