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PipeOwl-1.10-multilingual
WangKaiLin/PipeOwl-1.10-multilingual
PipeOwl-1.10-multilingual is a machine learning model from WangKaiLin. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
A transformer-free semantic retrieval engine.
All-time downloads
54
Public
Repo size
754 MB
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0
Public
Repo makeup
Click a slice to open those files.
.safetensors754 MB · 99%
At a glance
- License
- mit
- Model type
- pipeowl
- Access
- Public
- Created
- Apr 5, 2026
- Updated
- Apr 7, 2026
- SHA
- b44ce757
Model card
From the Hugging Face model README
Pipeowl-1.10-multilingual (Geometric Embedding)
A transformer-free semantic retrieval engine.
Features:
- O(n) over vocabulary.
- No attention.
- No transformer weights.
Architecture
- Static embedding table (V × D)
- Aligned vocabulary index
- Linear scoring
- Pluggable decoder stage
Model Specs
| item | value |
|---|---|
| token size | 734803 |
| embedding dim | 512 |
| storage format | safetensors (FP16) |
| data size | ~728 MB |
| languages | multilingual |
| startup time | ~912 ms |
| query latency | ~65-72 ms |
Quickstart
git clone https://huggingface.co/WangKaiLin/PipeOwl-1.10-multilingual
cd PipeOwl-1.10-multilingual
pip install numpy safetensors
python quickstart.py
Example:
Example semantic retrieval results:
請輸入句子： 確實
Top-K Tokens:
1.000 | 確實
0.871 | 的確
0.848 | 确实
0.825 | 確かに
0.796 | дійсно
請輸入句子： 今天好想睡覺
Top-K Tokens:
0.711 | 今天
0.691 | 今天的
0.677 | 睡觉
0.658 | 睡覺
0.653 | 今日は
請輸入句子： i want to sleep
Top-K Tokens:
0.735 | sleep
0.686 | спать
0.671 | schlafen
0.642 | tidur
0.638 | want
請輸入句子： 哈囉你好阿
Top-K Tokens:
0.823 | 哈囉
0.808 | 你好
0.777 | こんにちは
0.767 | 嘿
0.765 | 嗨
Repository Structure
PipeOwl-1.10-multilingual/
├ README.md
├ config.json
├ LICENSE
├ quickstart.py
├ engine.py
├ tokenizer.json
└ pipeowl.safetensors
LICENSE
MIT
- Type
- pipeowl
- License
- mit
- Languages
- multilingual
- Created
- Apr 5, 2026
- Updated
- Apr 7, 2026