Tokenizer
BPE tokenizer implemented entirely in Zig.
Example integration with LLMs at nnx-lm.
Requirement
zig v0.13.0
Install
git clone https://github.com/jaco-bro/tokenizer
cd tokenizer
zig build exe --release=fast
Usage
zig-out/bin/tokenizer_exe [--model MODEL_NAME] COMMAND INPUTzig build run -- [--model MODEL_NAME] COMMAND INPUT
zig build run -- --encode "hello world"
zig build run -- --decode "{14990, 1879}"
zig build run -- --model "phi-4-4bit" --encode "hello world"
zig build run -- --model "phi-4-4bit" --decode "15339 1917"
zig build run -- --repo "Qwen" --model "Qwen3-0.6B" --encode "안녕"
zig build run -- --repo "Qwen" --model "Qwen3-0.6B" --decode "126246 144370"
Python (optional)
Tokenizer is also pip-installable for use from Python:
pip install tokenizerz
python
Usage:
>>> import tokenizerz
>>> tokenizer = tokenizerz.Tokenizer()
Directory 'Qwen2.5-Coder-0.5B' created successfully.
DL% UL% Dled Uled Xfers Live Total Current Left Speed
100 -- 6866k 0 1 0 0:00:01 0:00:01 --:--:-- 4904k
Download successful.
>>> tokens = tokenizer.encode("Hello, world!")
>>> print(tokens)
[9707, 11, 1879, 0]
>>> tokenizer.decode(tokens)
'Hello, world!'
Shell:
bpe --encode "hello world"
Metadata
Release files for tokenizerz 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tokenizerz-0.0.3.tar.gz | 16.7 kB | Details |
Release files / tokenizerz-0.0.3.tar.gz
| Download URL | tokenizerz-0.0.3.tar.gz |
|---|---|
| Size | 16.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
be3709ee9d8db6309aea6b70da140c4b60fe36615c9de412c3300a39f5a494cf
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twine/6.2.0 CPython/3.12.8
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