| --- |
| license: apache-2.0 |
| library_name: onnx |
| pipeline_tag: text-classification |
| language: |
| - en |
| - ja |
| - fr |
| - de |
| - es |
| - it |
| - ru |
| - ko |
| - zh |
| tags: |
| - torrent |
| - metadata-classification |
| - byte-transformer |
| - rope |
| - onnx |
| - bitmagnet |
| - rats-search |
| --- |
| |
| # Armiger Ultra model bundle 3.11.0 |
|
|
| **ONNX files:** 33,260,312 bytes (33.3 MB) FP32 and 17,606,362 bytes (17.6 MB) INT8. |
| **Architecture:** approximately 8 million parameters, byte-level RoPE transformer. |
| **License:** Apache-2.0. [Model release](https://github.com/spencernorton/armiger/releases/tag/v3.11.0). |
|
|
| Armiger Ultra combines neural metadata predictions with optional title-catalogue |
| matching, metadata-language rules, calibration and swarm-availability estimates. |
| Its classifier reads names, file lists and supplied counters. It runs on a CPU; |
| no GPU or paid inference API is required. |
|
|
| ## Comparison charts |
|
|
| **Latest published figures — provenance under review.** These archived charts retain their original model labels and scores. Their displayed values and vector-based source records still need reconciliation; they do not establish verified current-release performance. These Ultra hybrid comparisons do not measure standalone INT8 accuracy or payload safety. [Evaluation scope and source records](https://github.com/spencernorton/armiger/blob/main/docs/evaluation.md). |
|
|
|  |
|
|
| Cloud teacher comparisons use separate common-support and swarm cohorts; panel-specific sample counts and metrics must remain separate. |
|
|
|  |
|
|
| Classifier and parser comparisons cover separate category, catalogue, language, metadata-screening and swarm tasks. Original PNGs and recorded results are unchanged. |
|
|
| ## Resources and performance |
|
|
| **ONNX file sizes are not working RAM.** The standalone ONNX interface, GitHub |
| Ultra package and full SDK snapshot with extra authority/policy assets are |
| different runtime paths. The GitHub package's INT8 Ultra option retains the |
| Ultra components; it is not the standalone API. |
|
|
| One CPU service using the complete R13.11 SDK with request-cache cleanup was |
| observed near 2.1 GiB whole-container memory during a 628.8-second live workload, |
| under a configured 4 GiB limit. This is one deployment observation, not a minimum |
| requirement or a measurement of every public API. See |
| [resources and measurement scope](https://github.com/spencernorton/armiger/blob/main/docs/resources.md). |
|
|
| The former `0.21 ms/item` GPU headline is withdrawn: the card did not provide |
| enough hardware, batch, model-identity or timing-scope evidence to reproduce it. |
| No current-release end-to-end CPU/GPU throughput or latency guarantee is made. |
|
|
| ## Docker and Python |
|
|
| The quickstart uses software 3.12.2 with model bundle 3.11.0. |
| Choose the model-update channel explicitly; `off` keeps the bundled model pinned. |
|
|
| ```bash |
| docker run -d --name armiger-ultra -p 127.0.0.1:8096:8096 \ |
| -e ARMIGER_UPDATE_CHANNEL=off \ |
| ghcr.io/spencernorton/armiger-ultra:3.12.2 |
| ``` |
|
|
| For Bitmagnet or Rats Search, use the |
| [setup guides](https://github.com/spencernorton/armiger#choose-your-setup). |
| For Python, follow the [installation guide](https://github.com/spencernorton/armiger/blob/main/docs/reference.md#python-installation), |
| including CPU-only PyTorch on Linux when using the Ultra extra: |
|
|
| ```bash |
| python -m pip install "armiger[ultra] @ git+https://github.com/spencernorton/armiger.git@v3.12.2" |
| python -m armiger download --directory ./models |
| export ARMIGER_UPDATE_CHANNEL=off |
| ``` |
|
|
| ```python |
| from armiger import ArmigerUltraPipeline |
| |
| pipeline = ArmigerUltraPipeline.from_directory( |
| "./models", variant="ultra", rsi_mode="pull_only", opt_in_sharing=False, |
| ) |
| result = pipeline.classify({ |
| "name": "Example.Movie.2001.1080p.WEB.x264", |
| "files": [{"path": "Example.Movie.2001.mkv", "size": 1_000_000_000}], |
| }) |
| print(result["category"]) |
| ``` |
|
|
| This quickstart uses installed GitHub package code and its pinned, checksummed |
| data manifest. Direct use of the fuller SDK files in this Hub repository is a |
| separate integration; use a complete compatible snapshot rather than mixing |
| individual helper/config files from different revisions. Matching neural weights |
| alone does not establish complete policy/output parity across those paths. |
|
|
| ## Limits and evaluation status |
|
|
| Armiger classifies supplied metadata. Audio/subtitle, junk, adult-content and |
| honeypot outputs are predictions or policy flags. It does not listen to audio, |
| inspect media payloads, scan executable contents, certify lawful content, or |
| guarantee a safe or available download. Optional post-import `ffprobe` checks in |
| a connector are a separate operation. |
|
|
| Published comparison graphics are under provenance review: the displayed |
| 3.11.0 / 2,484-item overview and its 3.0.0 / 2,835-item data receipt do not |
| describe the same results. The latest published comparison charts are restored |
| above as archival figures with that provenance limit. Detailed charts also |
| combine newer aggregate values with older vector-based statistical panels. |
| Their restored visibility does not establish current-release qualification. |
| Historical hybrid results |
| also do not establish the standalone neural path's accuracy. See |
| [evaluation status](https://github.com/spencernorton/armiger/blob/main/docs/evaluation.md). |
| No new balanced benchmark or universal accuracy, zero-leakage or safety rate is |
| claimed here. |
|
|
| Sharing is optional. Payload filtering, encryption and signatures do not by |
| themselves provide end-to-end anonymity or certify prediction accuracy. See the |
| [distributed-update and privacy limits](https://github.com/spencernorton/armiger/blob/main/docs/distributed-updates.md). |
|
|
| Immutable historical revisions may retain earlier descriptions. This default |
| model card and the linked evaluation/resource notes record the corrections; |
| model files and immutable revisions are unchanged. |
|
|
| ## Links |
|
|
| - [Standalone INT8 model](https://huggingface.co/NorviTech/armiger) |
| - [GitHub package and reference](https://github.com/spencernorton/armiger) |
| - [Indexer connectors](https://github.com/spencernorton/Armiger-Connectors) |
| - [DH-Waypoint](https://github.com/spencernorton/DH-Waypoint) |
|
|
