EmbeddingGemma 2 · BF16 safetensors — FaceNest mirror (macOS)
What this is. A copy of the model files FaceNest loads for semantic search (text→image / image→image), mirrored so a given app build always gets the weights it was measured against. It is a subset of the upstream repository — only the files the app loads, nothing else.
| Upstream repository | google/embeddinggemma-2 |
| Upstream revision | 914f7f89142e33e77833254d9c9b90c3cef7303b |
| Model base | google/embeddinggemma-2 |
| License | Apache-2.0 |
| Files | 13 (1,525,787,092 bytes) |
Every weight file below is an unmodified copy of the upstream object: its SHA-256 equals the SHA-256 recorded in the upstream repository's LFS metadata (verified 2026-10-15).
Files
| file | bytes | sha256 |
|---|---|---|
1_Pooling/config.json |
90 | 8759bdf7c77efc7df7723f64856a593c8943b71ee38baf2a88771fbaf78438f9 |
2_Normalize/config.json |
97 | cdb09dfca347a56aa2d691744e38d5ad3c7cbc2834e7181272b9a15328b82524 |
chat_template.jinja |
1,016 | 4b852efc0b9960283e735363331e6f325b33bc74bdbaa076f595bc4e9b94d85e |
config.json |
4,455 | b8f1e9931b57fbc054acdb445c41765d55b0074c58d145fa82839941ad1b5bb3 |
config_sentence_transformers.json |
1,565 | 031e56a498d33c349ab489a21885bcfe25b4fcba841149dc99e1e90d4a7c28f5 |
model.safetensors |
1,488,915,288 | 197a32965d4b1105faf060417baa899e193fb73cd401f42ec9295234d5553d79 |
modules.json |
413 | 3d02572a0455b832de67fb8e63a54981bc7e8b46e337c95e917bd8122a533bfd |
preprocessor_config.json |
511 | ea2ae257e901064abdd98dceb19f2b0da06af600bed15e0f99f5c85c37ee9d78 |
processor_config.json |
1,788 | 168f6a08522f3ce5dea596d94d003af2fd691742d4f41fe1f9d8cce76bfbf69c |
sentence_bert_config.json |
747 | b1bcd9f2dce3ae863b359e87d0710b5dbc3314a59ecb4e2f97c7778fc8e4b228 |
tokenizer.json |
32,170,510 | 4d777ef5bdc1aa36227abdfb77c3e49e7b9c892d16e1b6bda41c393504828be4 |
tokenizer.model |
4,689,013 | e594c8a90eb08d8bda498ff4747977dc827ae0c3c56b5c0d41a605a22d02ef03 |
tokenizer_config.json |
1,599 | 17bd5d6e9364ca49a534e1502076593317c298d4a663623091ed45388f004874 |
Why a mirror
The upstream ONNX repository is community-maintained: it can be re-quantized, re-uploaded or removed without notice. FaceNest pins a revision and serves a stable copy, so an app build never silently gets different weights than the ones its thresholds were calibrated against.
Note on precision
These are the official BF16 weights. The model card requires bf16/fp32 and explicitly warns against fp16, so this is the precision FaceNest uses on Apple Silicon (PyTorch + MPS).
License
Apache-2.0, as declared by the upstream repositories. This mirror adds no additional terms.
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