add LoTTe result for potion-base-2M (#118)

results/minishlab__potion-base-2M/86db093558fbced2072b929eb1690bce5272bd4b/model_meta.json

@@ -1 +1 @@
-{"name": "minishlab/potion-base-2M", "revision": "86db093558fbced2072b929eb1690bce5272bd4b", "release_date": "2024-10-29", "languages": ["eng_Latn"], "n_parameters": 2000000, "memory_usage": null, "max_tokens": Infinity, "embed_dim": 64, "license": "mit", "open_weights": true, "public_training_data": null, "public_training_code": null, "framework": ["NumPy"], "reference": "https://huggingface.co/minishlab/potion-base-2M", "similarity_fn_name": "cosine", "use_instructions": false, "training_datasets": null, "adapted_from": "BAAI/bge-base-en-v1.5", "superseded_by": null, "loader": "Model2VecWrapper"}
+{"name": "minishlab/potion-base-2M", "revision": "86db093558fbced2072b929eb1690bce5272bd4b", "release_date": "2024-10-29", "languages": ["eng_Latn"], "n_parameters": 2000000, "memory_usage_mb": 7.0, "max_tokens": Infinity, "embed_dim": 64, "license": "mit", "open_weights": true, "public_training_code": "https://github.com/MinishLab/model2vec", "public_training_data": null, "framework": ["NumPy"], "reference": "https://huggingface.co/minishlab/potion-base-2M", "similarity_fn_name": "cosine", "use_instructions": false, "training_datasets": {"NQ": ["test"], "NQ-NL": ["test"], "NQHardNegatives": ["test"], "AmazonReviewsClassification": ["validation", "test"], "MLQARetrieval": ["validation", "test"]}, "adapted_from": "BAAI/bge-base-en-v1.5", "superseded_by": null, "modalities": ["text"], "citation": null, "loader": "Model2VecWrapper"}