Principle:Ggml org Llama cpp Tokenization Tool
| Knowledge Sources | |
|---|---|
| Domains | Tokenization |
| Last Updated | 2026-02-15 00:00 GMT |
Overview
The Tokenization Tool is the principle of providing a standalone utility for inspecting how text is tokenized by a given model's vocabulary.
Description
This principle covers the command-line tool that tokenizes input text using a specified model's vocabulary and displays the resulting token IDs, token text representations, and token boundaries. This is a diagnostic tool for understanding how a model's tokenizer processes text, which is essential for debugging prompt formatting, understanding token counts, and verifying tokenizer behavior.
Usage
Apply this principle when debugging tokenization issues, inspecting how a prompt is split into tokens, verifying that special tokens are correctly inserted, or estimating the token count of a given text for context window planning.
Theoretical Basis
Tokenization is the process of converting continuous text into a sequence of discrete tokens from a model's vocabulary. Different models use different tokenization algorithms (BPE, SentencePiece Unigram, WordPiece) and different vocabularies, which means the same text may tokenize differently across models. The tokenization tool provides visibility into this process by loading a model's vocabulary and running the tokenization algorithm, then displaying each resulting token with its ID and text representation. This visibility is crucial for understanding model behavior, as the tokenization boundary decisions directly affect how the model interprets text.