Unverified50% confidenceFactExact time
The LLaMA series uses a SentencePiece-based BPE tokenizer with a vocabulary size of 32,000.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
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Related Claims
UnverifiedLLaMA 3的分词器从SentencePiece升级为基于tiktoken的BPE分词器，词表大小扩展至128,25677% similarUnverifiedModern large models use tokenization algorithms such as BPE or SentencePiece to build vocabularies, with mainstream models having vocabulary sizes ranging from 30,000 to 150,000 tokens.75% similarUnverifiedThe Llama series uses SentencePiece BPE tokenization, while the Qwen series uses a custom tokenizer based on byte-level BPE.75% similarUnverifiedLlama系列模型使用SentencePiece的BPE模式68% similarVerifiedModern LLMs generally use BPE (Byte Pair Encoding) or WordPiece algorithms for tokenization.68% similar
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