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@@ -17,7 +17,7 @@ pipeline_tag: image-classification
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  Pre-trained model weights from [vladmandic/face-api](https://github.com/vladmandic/face-api)
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  at commit `189226d63aabb48cb40776fd1c453ebc0fa722f1`, converted losslessly to
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  portable **safetensors** and **gguf** (float32) formats by the
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- [`CognitiveOS-Labs/face-recognition`](https://github.com/CognitiveOS-Labs/face-recognition)
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  reproducible pipeline.
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  ## Models
@@ -52,7 +52,8 @@ and the original TF.js quantization block (source traceability).
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  load them yet — a runtime for these architectures is the documented
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  follow-up (see the `face-recognition` CGP repo).
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  - Reference loaders and the full bitwise-validation suite live in the
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- `face-recognition` CGP repo under `scripts/`.
 
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  ## Consumed by
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@@ -66,7 +67,7 @@ and the original TF.js quantization block (source traceability).
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  Weights derived from `vladmandic/face-api` (MIT), commit
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  `189226d63aabb48cb40776fd1c453ebc0fa722f1`, provided "as-is". Conversion tooling
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- in the `face-recognition` CGP repo is MIT.
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  The recognition backbone was trained on VGGFace2-like data by the face-api
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  project; generic face recognition works out of the box, while recognizing
 
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  Pre-trained model weights from [vladmandic/face-api](https://github.com/vladmandic/face-api)
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  at commit `189226d63aabb48cb40776fd1c453ebc0fa722f1`, converted losslessly to
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  portable **safetensors** and **gguf** (float32) formats by the
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+ [`CognitiveOS-Labs/tfjs-weights-to-gguf`](https://github.com/CognitiveOS-Labs/tfjs-weights-to-gguf)
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  reproducible pipeline.
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  ## Models
 
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  load them yet — a runtime for these architectures is the documented
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  follow-up (see the `face-recognition` CGP repo).
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  - Reference loaders and the full bitwise-validation suite live in the
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+ [`CognitiveOS-Labs/tfjs-weights-to-gguf`](https://github.com/CognitiveOS-Labs/tfjs-weights-to-gguf)
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+ repo under `scripts/`.
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  ## Consumed by
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  Weights derived from `vladmandic/face-api` (MIT), commit
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  `189226d63aabb48cb40776fd1c453ebc0fa722f1`, provided "as-is". Conversion tooling
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+ in the `tfjs-weights-to-gguf` repo is MIT.
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  The recognition backbone was trained on VGGFace2-like data by the face-api
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  project; generic face recognition works out of the box, while recognizing