Spencer Norton commited on
Document the 5 modular Armiger plugins in model card
Browse files
README.md
CHANGED
|
@@ -54,6 +54,20 @@ Unlike rule parsers (`GuessIt`, `PTT`, `RTN`, `PTN`, `Anitomy`) that only recogn
|
|
| 54 |
|
| 55 |
---
|
| 56 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 57 |
## 1. Categorical & Open-Source Torrent Classifier Comparisons
|
| 58 |
|
| 59 |
### 7-Dimension Comparison vs. Open-Source Classifiers & Parsers
|
|
|
|
| 54 |
|
| 55 |
---
|
| 56 |
|
| 57 |
+
## Optional Modular Plugins (Available Standalone or Bundled in `Armiger Ultra`)
|
| 58 |
+
|
| 59 |
+
`NorviTech/armiger` ships as a compact `8.3 MB` zero-dependency ONNX INT8 engine (`armiger.onnx` + `calibration.json`). Any of the **5 official Armiger plugins** below can be attached on demand (or downloaded pre-bundled inside [`NorviTech/armiger-ultra`](https://huggingface.co/NorviTech/armiger-ultra)):
|
| 60 |
+
|
| 61 |
+
| Plugin Repository | Bundled in `Armiger Ultra`? | Footprint | Core Capability & Measured Impact |
|
| 62 |
+
| :--- | :---: | :---: | :--- |
|
| 63 |
+
| **[`NorviTech/armiger-swarm-survival`](https://huggingface.co/NorviTech/armiger-swarm-survival)** | **Yes** (`swarm_adapter.pt`, `swarm_survival.py`) | `163 KB` | **SwarmSurvivalNet v2 & Honeypot Residual Adapter:** **`96.83%`** Swarm Liveliness AUROC (vs. `53.04%` raw seeders), **`100.0%`** fake-seeder malware trap recall, **`0%`** content-category flip guarantee. |
|
| 64 |
+
| **[`NorviTech/armiger-swarm-priors`](https://huggingface.co/NorviTech/armiger-swarm-priors)** | **Yes** (`swarm_priors.py`) | `29.4 KB` | **Empirical Bayes Swarm & Release-Group Priors:** 4-pathway tracker scrape prior engine, mandatory modality dropout (`p=0.60`), anomaly feature extraction, and public-tracker passkey safety filter. |
|
| 65 |
+
| **[`NorviTech/armiger-zero-cue-catalog`](https://huggingface.co/NorviTech/armiger-zero-cue-catalog)** | **Yes** (`zero_cue_plugin.py`, `validated_zero_cue_catalog.json`) | `26.8 MB` | **Zero-Cue Catalog & Structural Disambiguator:** Offline 926,785-key normalized `TMDB`/`TVDB`/`AniDB`/`Manami` lookup + structural pack/ROM/VN/course rules; lifts Movie-vs-TV accuracy to **`99.46%`** and 11-class accuracy to **`98.48%`**. |
|
| 66 |
+
| **[`NorviTech/armiger-audio-guard`](https://huggingface.co/NorviTech/armiger-audio-guard)** | **Yes** (`audio_language_guard.py`) | `4.2 KB` | **Cross-Head Audio Language & Anime Dub Guard:** Couples `title_language` (`P(Foreign Title)`) with `lang` head to disambiguate `.en.` prepositions, `<Foreign>.ENG.Sub`, regional dubs, and `MULTi (FR EN)` tags; reaches **`98.72%`** Gold Standard and **`99.88%`** Hard Edge-Case audio accuracy. |
|
| 67 |
+
| **[`NorviTech/armiger-calibration-dht`](https://huggingface.co/NorviTech/armiger-calibration-dht)** | **Yes** (`calibration.json`, `calibration_and_dht.py`) | `8.5 KB` | **Conformal Calibration & BEP-44 DHT Updater:** Per-head temperature scaling ($T_h$), Menon prior adjustments, Mondrian conformal safety gates (`99.95%` junk balanced accuracy), and `Ed25519`-signed `BEP-44` decentralized DHT hot-reload engine. |
|
| 68 |
+
|
| 69 |
+
---
|
| 70 |
+
|
| 71 |
## 1. Categorical & Open-Source Torrent Classifier Comparisons
|
| 72 |
|
| 73 |
### 7-Dimension Comparison vs. Open-Source Classifiers & Parsers
|