face-api weights (gguf + safetensors)
Pre-trained model weights from vladmandic/face-api
at commit 189226d63aabb48cb40776fd1c453ebc0fa722f1, converted losslessly to
portable safetensors and gguf (float32) formats by the
CognitiveOS-Labs/tfjs-weights-to-gguf
reproducible pipeline.
Models
| File | Tensors | Purpose |
|---|---|---|
tiny_face_detector_model.gguf | 19 | Tiny face detection |
face_landmark_68_model.gguf | 49 | 68-point landmarks |
face_landmark_68_tiny_model.gguf | 28 | Tiny 68-point landmarks |
face_recognition_model.gguf | 117 | Face embedding (128-d) |
ssd_mobilenetv1_model.gguf | 151 | SSD face detection |
age_gender_model.gguf | 51 | Age / gender |
face_expression_model.gguf | 49 | Facial expression |
Every model is also provided as .safetensors and both formats carry a
*-mapping.json recording each tensor's name, shape, dtype, data location,
and the original TF.js quantization block (source traceability).
Format notes
- Weights only. The face-api repo has no
model.json— the network topologies live in its TypeScript sources undersrc/. These artifacts preserve the original TF.js tensor names verbatim. - All tensors are float32 (the dequantized values produced by the TF.js
loader), except 15 scalar
int32constants inssd_mobilenetv1_model(postprocessor shape parameters). - The gguf files use generic packing (metadata keys
general.architecture,general.name,general.source,general.source.commit,general.alignment,general.file_type; GGML dim order;GGML_TYPE_F32=0,GGML_TYPE_I32=26). They are structurally valid GGUF v3 but use a customgeneral.architecture, so llama.cpp will not load them yet — a runtime for these architectures is the documented follow-up (see theface-recognitionCGP repo). - Reference loaders and the full bitwise-validation suite live in the
CognitiveOS-Labs/tfjs-weights-to-ggufrepo underscripts/.
Consumed by
CognitiveOS-Labs/face-recognition— CognitiveOS patch declaringface_recognition_model.ggufas its remote wide-model weight (downloaded atcpm installtime).CognitiveOS-Labs/face-recognition-tune—cpm tuneLoRA trainer over the frozen base weights.
Source & license
Weights derived from vladmandic/face-api (MIT), commit
189226d63aabb48cb40776fd1c453ebc0fa722f1, provided "as-is". Conversion tooling
in the tfjs-weights-to-gguf repo is MIT.
The recognition backbone was trained on VGGFace2-like data by the face-api project; generic face recognition works out of the box, while recognizing specific people is an enrollment (embedding-gallery) operation.