| { |
| "name": "MODA Duo", |
| "artifact_type": "retrieval_system", |
| "description": "Two open constituents, one answer per query. Each query is routed to whichever constituent suits its shape: short catalogue titles to MODA Pro Lite+, longer descriptions to MODA. One text forward and one nearest-neighbour query per search.", |
| "additional_learned_parameters": 0, |
| "constituents": { |
| "moda": { |
| "base_model": "Marqo/marqo-fashionSigLIP", |
| "parameters": 203155970, |
| "embedding_dimension": 768, |
| "gallery": { |
| "views": { |
| "official": 1.0, |
| "pad_white": 0.25, |
| "center_crop": 0.25 |
| }, |
| "normalize": true |
| }, |
| "query": { |
| "prompts": { |
| "raw": 1.0, |
| "product": 0.25 |
| }, |
| "normalize": true |
| }, |
| "prompt_templates": { |
| "raw": "{query}", |
| "product": "a fashion product photo of {query}" |
| } |
| }, |
| "moda_pro_lite_plus": { |
| "base_model": "HopitAI/moda-pro-lite", |
| "parameters": 213159938, |
| "embedding_dimension": 768, |
| "gallery": { |
| "views": { |
| "official": 1.0, |
| "pad": 0.25, |
| "foreground_pad": 0.25 |
| }, |
| "normalize": true |
| }, |
| "query": { |
| "prompts": { |
| "raw": 1.0, |
| "photo": 0.25 |
| }, |
| "normalize": true |
| }, |
| "prompt_templates": { |
| "raw": "{query}", |
| "photo": "a photo of {query}" |
| } |
| } |
| }, |
| "router": { |
| "kind": "query_word_count", |
| "rule": "words(query) <= threshold -> moda_pro_lite_plus, else moda", |
| "threshold": 36, |
| "pluggable": true, |
| "note": "The router is a callable; any policy mapping a query to a constituent name may replace it." |
| }, |
| "serving": { |
| "stored_vectors_per_item": 2, |
| "indexes": 2, |
| "text_forwards_per_query": 2, |
| "encoders_run_per_query": 1, |
| "ann_queries_per_search": 1, |
| "rerank": false |
| }, |
| "selection": { |
| "criterion": "maximin regret against the per-regime oracle (better of the two constituents), tie-break mean regret", |
| "target_benchmarks_accessed_during_selection": false, |
| "frozen_before_target_evaluation": true, |
| "receipt": "results/multiview_recipe_rebuild/SELECTION_duo.json", |
| "threshold_selected_on": "development data only (OpenVTON validation 4,989 + GLAMI 2,000 x 3 query views)" |
| }, |
| "evaluation": { |
| "protocol": "full corpus, all ground-truth queries, MAP@10, pytrec_eval map_cut.10, paired bootstrap 10000 @ 20260728", |
| "receipt": "results/duo_target_eval.json" |
| } |
| } |
