{
    "loader_kwargs": {
        "fp_options": "float16"
    },
    "name": "BAAI/bge-reranker-v2-m3",
    "revision": "953dc6f6f85a1b2dbfca4c34a2796e7dde08d41e",
    "release_date": "2024-06-24",
    "languages": [
        "eng-Latn",
        "ara-Arab",
        "ben-Beng",
        "spa-Latn",
        "fas-Arab",
        "fin-Latn",
        "fra-Latn",
        "hin-Deva",
        "ind-Latn",
        "jpn-Jpan",
        "kor-Hang",
        "rus-Cyrl",
        "swa-Latn",
        "tel-Telu",
        "tha-Thai",
        "zho-Hans",
        "deu-Latn",
        "yor-Latn",
        "dan-Latn",
        "heb-Hebr",
        "hun-Latn",
        "ita-Latn",
        "khm-Khmr",
        "msa-Latn",
        "nld-Latn",
        "nob-Latn",
        "pol-Latn",
        "por-Latn",
        "swe-Latn",
        "tur-Latn",
        "vie-Latn",
        "zho-Hant"
    ],
    "n_parameters": null,
    "n_active_parameters_override": null,
    "n_embedding_parameters": 256002048,
    "memory_usage_mb": 2166.0,
    "max_tokens": null,
    "embed_dim": null,
    "license": null,
    "open_weights": true,
    "public_training_code": null,
    "public_training_data": null,
    "framework": [
        "Sentence Transformers",
        "PyTorch",
        "safetensors",
        "Transformers"
    ],
    "reference": null,
    "similarity_fn_name": null,
    "use_instructions": null,
    "training_datasets": [
        "NQHardNegatives",
        "HotpotQAHardNegatives",
        "CMedQAv2-reranking",
        "MIRACLRetrieval",
        "NQ-NL",
        "MIRACLReranking",
        "CMedQAv1-reranking",
        "LeCaRDv2",
        "T2Reranking",
        "MrTidyRetrieval",
        "MIRACLRetrievalHardNegatives",
        "DuRetrieval",
        "HotpotQA-NL",
        "NanoNQRetrieval",
        "MMarcoReranking",
        "HotpotQA-PL",
        "NQ",
        "mMARCO-NL",
        "MSMARCOHardNegatives",
        "CodeSearchNet",
        "MSMARCO",
        "MSMARCO-PL",
        "NanoMSMARCORetrieval",
        "HotpotQA",
        "T2Retrieval",
        "NQ-PL"
    ],
    "adapted_from": null,
    "superseded_by": null,
    "modalities": [
        "text"
    ],
    "model_type": [
        "cross-encoder"
    ],
    "citation": "\n@misc{li2023making,\n  archiveprefix = {arXiv},\n  author = {Zheng Liu and Chaofan Li and Shitao Xiao and Yingxia Shao and Defu Lian},\n  eprint = {2312.15503},\n  title = {Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval},\n  url = {https://arxiv.org/abs/2312.15503},\n  year = {2023},\n}\n    @misc{bge-m3,\n      archiveprefix = {arXiv},\n      author = {Jianlv Chen and Shitao Xiao and Peitian Zhang and Kun Luo and Defu Lian and Zheng Liu},\n      eprint = {2402.03216},\n      primaryclass = {cs.CL},\n      title = {BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation},\n      year = {2024},\n    }\n    ",
    "contacts": null,
    "experiment_kwargs": null,
    "output_dtypes": "float16",
    "extra_requirements_groups": [
        "flagembedding"
    ],
    "loader": "BGEReranker",
    "is_cross_encoder": true
}