conversion.json

{
  "source_model": "google/embeddinggemma-2",
  "source_revision": "914f7f89142e33e77833254d9c9b90c3cef7303b",
  "runtime": "mlx",
  "precision": "bf16",
  "parameter_count": 438760448,
  "retained_weight_prefixes": [
    "language_model.",
    "vision_tower.",
    "embed_vision."
  ],
  "fp32_is_lossless_expansion_of_bf16": false,
  "training_or_quantization": false,
  "stored_tensor_elements": 438760472,
  "tensor_count": 624,
  "safetensors_bytes": 877599670,
  "all_stored_tensor_dtypes_verified": true,
  "excluded_encoder_weights_absent": true,
  "mlx_vlm_revision": "3d87e88402f307efbf68e568971aa887ee7d9ed0",
  "native_mlx_conversion": true
}