| { |
| "model_name": "embeddinggemma-300m", |
| "model_tag": "embeddinggemma-300m@768", |
| "architecture": "gemma3-embedding", |
| "source_model": "unsloth/embeddinggemma-300m", |
| "tokenizer_repo": "google/embeddinggemma-300m", |
| "quantization": "int8", |
| "compute_units": "CPU_AND_NE", |
| "io_contract": { |
| "inputs": { |
| "input_ids": { "shape": [1, 512], "dtype": "int32" }, |
| "attention_mask": { "shape": [1, 512], "dtype": "int32", "doc": "1 for real tokens, 0 for pad" } |
| }, |
| "outputs": { |
| "embedding": { "shape": [1, 768], "dtype": "fp16", "doc": "L2-normalized; mean-pooled; Matryoshka-truncatable" } |
| } |
| }, |
| "embed_dim": 768, |
| "max_seq_len": 512, |
| "pooling": "mean", |
| "normalize": "l2", |
| "matryoshka_dims": [768, 512, 256, 128], |
| "task_prefixes": { |
| "retrieval_query": "task: search result | query: ", |
| "retrieval_document": "title: none | text: " |
| }, |
| "validation": { |
| "coreml_vs_trueST_cosine": 0.997, |
| "retrieval_ranking": "3/3", |
| "note": "seq-len 512 = 4x the public seq-128 export; sliding_window==seq so mask is plain bidirectional padding" |
| } |
| } |
|
|
