A collection of 25 current LiteRT conversion variants, including 15 trainable heads or output adapters, for experimental Android dataset and annotation workflows. Weights are downloaded separately from the application package. Visual backbones remain frozen; the trainable scope is defined by each variant's runtime contract. Maintained by Unicorn Who Dev. The retained application campaign records 5 PASS, 1 FAIL and 19 PENDING variants. All 15 learning variants passed synthetic host checks. RepViT M1 learning has a separate, report-level Android SDK result; it is not an application pass. PASS applies only to the indicated check. PENDING means unexecuted or unfinished; N/A means no training…
Independent publisher
Unicorn Who Dev
unicornwhodev
géo llm; 3D ; image conditioning
Models in Library2
Datasets in Library0
Models on Hugging Face2
Followers1
Compare the published evidence
This profile connects the 2 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Published tasks: Image classification.
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Models
Six specialized models in 13 LiteRT files, with input/output contracts, labels, artifact hashes and CPU inference examples. The repository is public; access to its files requires manual approval on Hugging Face. Scores are specific to each model's test set and metric; they are not a common cross-task ranking. The 320 px PCB1 model is a separate compact variant of the 448 px model. See catalogue.json for exact values and source revisions. Request access on this page. After approval, authenticate and download the pinned For a binary mask or bounding boxes: Each model directory contains.tflite files, labels.txt, contract.json, format-specific metrics and CPU inference evidence. FP16 is the…