jayyun98/embeddinggemma-2-text-image-440m-mlx-fp32

Same weights, converted (fewer layers) vs google/embeddinggemma-2. jayyun98/embeddinggemma-2-text-image-440m-mlx-fp32 matches part of google/embeddinggemma-2 (624 of its 1376 tensors; the rest of google/embeddinggemma-2 has no counterpart). On the shared part: Same weights stored in another dtype (BF16 → F32).

Tensors changed: Embeddings 0/5, Norms 0/266, other 0/73, MLP 0/120, Attention 0/160

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