| # π‘οΈ KVCHub β 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. |
|
|
| --- |
|
|
| ## π 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) | |
|
|
| --- |
|
|
| ## π Core Features & Breakthroughs |
|
|
| - π **Zero Data Leakage (100% On-Device)**: Text never leaves local memory. Fully compliant with HIPAA, GDPR, and SOC2. |
| - β‘ **Sub-Millisecond Speed**: Runs up to 130x faster than cloud network roundtrips to OpenAI or Google DLP. |
| - π§ͺ **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`). |
| - π **Zero-Shot International**: Detects French, UK, German, and Japanese addresses, phones, and names zero-shot. |
| - π **Real-Time Streaming**: Sanitizes live streaming LLM outputs token-by-token on the fly. |
|
|
| --- |
|
|
| ## β‘ 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 |
| ``` |
|
|
| --- |
|
|
| ## π 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 β€οΈ by the KVCHub Engineering Team |
| </p> |
|
|