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Remove unused mirrors (yunet, yolox_tiny); card lists only what Arca loads
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metadata 
license: other
license_name: mixed-permissive
license_link: https://huggingface.co/umbml/arca-models/blob/main/LICENSES.md
library_name: onnx
tags:
  - onnx
  - clip
  - face-recognition
  - mirror

arca-models

Pinned ONNX mirrors of third-party models used for on-device inference in Arca. Nothing here is trained by us — every file is a byte-for-byte copy of an upstream release, re-hosted so that:

  1. Downloads are immutable. Arca pins each file by commit SHA and verifies a SHA-256 before use. Fetching upstream main gave us a moving target: two of our source URLs 404'd after upstream repos were restructured, silently breaking on-device features with nothing able to detect the drift.
  2. Upstream repos aren't used as a CDN. Pulling a 261 MB file from a github.com/.../raw/main/ URL on every client install is not what that endpoint is for.

If you want these models, please prefer the original sources below — they are the authoritative, maintained copies.

Contents

Every file here is live in Arca. Nothing is staged "for later" — an unused model in a mirror is just a file nobody can explain a year from now.

File Bytes Upstream source License
arcface.onnx 261,036,388 onnx/models — arcfaceresnet100-8.onnx Apache-2.0
clip-vit-b32-image.onnx 351,686,194 Qdrant/clip-ViT-B-32-vision MIT
clip-vit-b32-text.onnx 254,102,519 Qdrant/clip-ViT-B-32-text MIT
bpe_simple_vocab_16e6.txt.gz 1,356,917 openai/CLIP MIT

SHA-256 

f3a6bc281e72f88862f5748b53be3d76b3b48f8f1ab1f4a537941bdc4e1b01da  arcface.onnx
c68d3d9a200ddd2a8c8a5510b576d4c94d1ae383bf8b36dd8c084f94e1fb4d63  clip-vit-b32-image.onnx
4dbe762b11e36488304471e439cde89da053ad7acaddbf9e096745d142ec8d8b  clip-vit-b32-text.onnx
924691ac288e54409236115652ad4aa250f48203de50a9e4722a6ecd48d6804a  bpe_simple_vocab_16e6.txt.gz

Note on the CLIP pair

clip-vit-b32-image.onnx and clip-vit-b32-text.onnx come from the same export family (both PyTorch 2.3.0 exports of clip-ViT-B-32) and therefore share one 512-d embedding space. Mixing an image encoder from one port with a text encoder from another puts the vectors in different spaces and makes cosine similarity meaningless. Treat the two as a single atomic unit.

Previously here, removed

Both were removed from main by a normal commit, so earlier pinned resolve/<sha>/ URLs still resolve — nothing that referenced them breaks.

  • yunet.onnx (face detection, MIT) — Arca uses the OS Windows.Media.FaceAnalysis.FaceDetector for detection, so this was never loaded. arcface.onnx (the 512-d embedder) is the only ONNX face model.
  • yolox_tiny.onnx (object detection, Apache-2.0) — mirrored in anticipation of an object-detection feature that doesn't exist yet, then removed rather than left sitting here unused. If it comes back, it will be re-uploaded alongside the code that actually calls it.

Licensing

Each file keeps its upstream license; see the table above and LICENSES.md. The license: other / mixed-permissive marker reflects that this repo aggregates MIT and Apache-2.0 files rather than being under one single license. No copyleft-licensed weights are hosted here — see LICENSES.md for why Ultralytics YOLO in particular can never be.