{ "base_model": "google/embeddinggemma-2", "format": "coreml", "modality": [ "text", "audio", "image" ], "precision": "fp16", "hidden_size": 512, "embedding_dim": 768, "matryoshka_dims": [ 768, 512, 256, 128 ], "embed_scale": 22.627417, "token_table": { "file": "embeddings.bf16", "dtype": "bfloat16", "shape": [ 262144, 512 ] }, "functions": { "embed_32": { "tokens": 32 }, "embed_48": { "tokens": 48 }, "embed_64": { "tokens": 64 }, "embed_128": { "tokens": 128 }, "embed_256": { "tokens": 256 }, "embed_512": { "tokens": 512 }, "pack_256": { "tokens": 256, "slots": 8 } }, "bos_token_id": 2, "eos_token_id": 1, "pad_token_id": 0, "prompts": { "document": "title: none | text: ", "search_query": "task: search result | query: ", "question_answering": "task: question answering | query: ", "fact_checking": "task: fact checking | query: ", "code_retrieval": "task: code retrieval | query: ", "classification": "task: classification | query: ", "clustering": "task: clustering | query: ", "sentence_similarity": "task: sentence similarity | query: " }, "audio": { "package": "EmbeddingGemma2Audio.mlpackage", "compute_units": "cpuAndGPU", "precision": "fp16", "sample_rate": 16000, "window_seconds": 10, "waveform_samples": 160160, "left_pad_samples": 160, "frames": 1000, "frame_valid_if": "i * 160 + 321 <= 160 + audio_samples", "tokens_per_window": 250, "token_ms": 40, "boa_token_id": 256000, "eoa_token_id": 258883, "text_sequence": " <|audio> [audio tokens] -> embed_256" }, "vision": { "package": "EmbeddingGemma2Vision.mlpackage", "compute_units": "cpuAndGPU", "precision": "fp16", "functions": { "vision_70": { "tokens": 70, "patches": 630 }, "vision_140": { "tokens": 140, "patches": 1260 }, "vision_280": { "tokens": 280, "patches": 2520 } }, "patch_size": 16, "pooling_kernel": 3, "resize": "aspect-preserving, bicubic + antialias, sides multiple of 48 px, at most 9 x tokens patches", "pixel_scale": "RGB / 255 (the model applies 2x - 1)", "patch_layout": "row-major patches, each [16 rows][16 cols][RGB]", "position_table": { "file": "position_embeddings.f16", "dtype": "float16", "shape": [ 2, 1024, 768 ], "use": "table[0][x] + table[1][y] per patch, zero for padding" }, "boi_token_id": 255999, "eoi_token_id": 258882, "text_sequence": " <|image> [image tokens] -> smallest embed_S that fits" } }