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215c62a 421267e 215c62a 421267e 215c62a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 | # 🛡️ KVCHub — On-Device Privacy & High-Speed Neural Intelligence
Welcome to the official **KVCHub** Organization profile!
At **KVCHub**, we research and build ultra-lightweight, hardware-accelerated, zero-trust AI models. Our mission is to make advanced privacy redaction and neural intelligence run **100% locally on-device** with zero cloud data leakage, zero subscription fees, and sub-millisecond execution speeds.
---
## 🚀 Flagship Models
| Model | Parameters | Weight Size | Latency | Target Hardware | Hugging Face Link |
| :--- | :---: | :---: | :---: | :--- | :--- |
| **Kava Privacy 2.01M** | `2.01M` | **8.0 MB** | **2.2 ms** | Apple Silicon GPU (MLX) & Workstations | [KVCHub/Kava-Privacy-2M-mlx](https://huggingface.co/KVCHub/Kava-Privacy-2M-mlx) |
| **Kava Privacy 636k** | `636k` | **2.5 MB** | **< 1.0 ms** | Mobile, Edge, Embedded, & Streaming | [KVCHub/Kava-Privacy-636k-mlx](https://huggingface.co/KVCHub/Kava-Privacy-636k-mlx) |
---
## 🌟 Core Features & Breakthroughs
- 🔒 **Zero Data Leakage (100% On-Device)**: Text never leaves local memory. Fully compliant with HIPAA, GDPR, and SOC2.
- ⚡ **Sub-Millisecond Speed**: Runs up to 130x faster than cloud network roundtrips to OpenAI or Google DLP.
- 🧪 **Zero False Positives**: Immunized against scientific constants (`299,792,458 m/s`), subnet masks (`255.255.255.0`), legal rules (`12(b)(6)`), and stock tickers (`$182.50`).
- 🌍 **Zero-Shot International**: Detects French, UK, German, and Japanese addresses, phones, and names zero-shot.
- 🌊 **Real-Time Streaming**: Sanitizes live streaming LLM outputs token-by-token on the fly.
---
## ⚡ Quickstart
Install the official Python package from PyPI:
```bash
pip install kava-privacy
```
Run PII redaction in 2 lines of Python:
```python
from kava_privacy import KavaPrivacy
# Initialize KVCHub Privacy Engine
kp = KavaPrivacy(model_name="2.01M")
redacted_text, entities = kp.redact("Email me at jane.doe@gmail.com or call 555-123-4567.")
print(redacted_text)
# Output: "Email me at [EMAIL] or call [PHONE]."
```
Sanitize entire CSV, JSON, or Log files via CLI:
```bash
python3 kava_clean.py customer_data.csv -o clean_data.csv
```
---
## 📜 Principles & Open Source
All KVCHub models and software are released under the permissive **[MIT License](https://opensource.org/licenses/MIT)**. Free for commercial and open-source applications worldwide.
- **PyPI Package**: [pypi.org/project/kava-privacy/](https://pypi.org/project/kava-privacy/)
- **Hugging Face Org**: [huggingface.co/KVCHub](https://huggingface.co/KVCHub)
---
<p center>
Built with ❤️ by the KVCHub Engineering Team
</p>
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