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Update organization card benchmark summary

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  1. README.md +13 -30
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- title: README
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- <p align="center">
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- <a href="https://norvitech.com"><img alt="NorviTech Suite — open-source apps for the Linux desktop and the self-hosted stack" src="https://norvitech.com/assets/banner.svg" width="800"></a>
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- </p>
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- **NorviTech** builds open-source applications and compact neural models for the Linux desktop and the self-hosted stack.
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- ## Armiger Neural Classification & Swarm-Intelligence Models
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- | Model Repository | Role | Footprint | Latency | Gold Standard Acc | Adult Safety Gate | Swarm Honeypot Recall |
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  | :--- | :--- | :---: | :---: | :---: | :---: | :---: |
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- | **[`NorviTech/armiger`](https://huggingface.co/NorviTech/armiger)** | Universal Fast CPU Classifier (`ONNX INT8`) | `8.3 MB` | `2.44 ms` (CPU) | `95.06%` | `99.56%` | — |
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- | **[`NorviTech/armiger-ultra`](https://huggingface.co/NorviTech/armiger-ultra)** | Unified Suite (`Armiger` + `Ultra FP32` + `Swarm Adapter`) | `40.7 MB` | `1.12 ms` (GPU) | `95.52%` | `99.62%` | `100.0%` |
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- <a href="https://norvitech.com"><img alt="Part of the NorviTech Suite — open-source apps for the Linux desktop and the self-hosted stack" src="https://norvitech.com/assets/banner.svg" width="640"></a>
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- </p>
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-
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- <p align="center">
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- <a href="https://github.com/spencercnorton/helios">Helios</a> ·
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- <a href="https://github.com/spencercnorton/bitagent">BitAgent</a> ·
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- <a href="https://github.com/spencercnorton/xnote">XNote</a> ·
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- <a href="https://github.com/spencercnorton/xnote-placement">XNote Placement</a> ·
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- <a href="https://github.com/spencercnorton/snipsnap">SnipSnap</a> ·
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- <a href="https://github.com/spencercnorton/conductor">Conductor</a> ·
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- <a href="https://github.com/spencercnorton/norvi-os">NorviOS</a> ·
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- <a href="https://github.com/spencercnorton/indigo">Indigo</a> ·
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- <a href="https://github.com/spencercnorton/roadtrack">Road Track</a> ·
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- <a href="https://norvitech.com">norvitech.com</a>
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- </p>
 
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+ title: NorviTech
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+ # NorviTech — Open-Source AI & Systems Engineering
 
 
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+ **NorviTech** builds fast, compact, self-hosted neural models and systems tools designed to run locally on commodity hardware without external API dependencies.
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+ ### Featured Models: The Armiger Suite
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+ | Repository | Description | Footprint | Batched Speed | 11-Class Category Acc | Movie vs. TV Acc | 6-Dim Composite Mean |
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  | :--- | :--- | :---: | :---: | :---: | :---: | :---: |
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+ | **[`NorviTech/armiger`](https://huggingface.co/NorviTech/armiger)** | Universal CPU 8-head byte-level RoPE Transformer (`INT8` ONNX) for real-time BitTorrent, DHT, Usenet, and media automation (`BitAgent`, `Bitmagnet`, `Prowlarr`, `Sonarr`, `Radarr`). | **`8.3 MB`** | **`0.42 ms` (CPU)** | **`97.92%`** | **`99.15%`** | **`96.87%`** |
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+ | **[`NorviTech/armiger-ultra`](https://huggingface.co/NorviTech/armiger-ultra)** | Complete unified suite bundling **`Armiger`** (`8.3 MB` CPU), **`Armiger Ultra`** (`32.2 MB` `FP32` GPU/CPU), and the **Swarm Health & Fake-Seeder Honeypot Adapter** (`100%` malware trap recall, `96.83%` swarm liveliness AUROC). | **`40.7 MB`** | **`0.50 ms` (GPU)** | **`98.48%`** | **`99.46%`** | **`98.74%`** |
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+ ### Links
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+ - **Website:** [norvitech.com](https://norvitech.com)
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+ - **GitHub:** [github.com/spencercnorton](https://github.com/spencercnorton)