conversion.json

{
  "source_model": "google/embeddinggemma-2",
  "source_revision": "914f7f89142e33e77833254d9c9b90c3cef7303b",
  "runtime": "mlx",
  "precision": "fp32",
  "parameter_count": 271002624,
  "retained_weight_prefixes": [
    "language_model."
  ],
  "fp32_is_lossless_expansion_of_bf16": true,
  "training_or_quantization": false,
  "stored_tensor_elements": 271002648,
  "tensor_count": 413,
  "safetensors_bytes": 1084061284,
  "all_stored_tensor_dtypes_verified": true,
  "excluded_encoder_weights_absent": true,
  "mlx_vlm_revision": "3d87e88402f307efbf68e568971aa887ee7d9ed0",
  "native_mlx_conversion": true
}