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| """Auto-generated list of HAKARI-Bench leaderboard Hugging Face models. | |
| This file is not imported by the Space app. It is kept in the Space repo so | |
| Hugging Face can statically link the Space from the listed model repositories. | |
| """ | |
| MODEL_NAMES = [ | |
| "Alibaba-NLP/gte-multilingual-base", | |
| "Alibaba-NLP/gte-multilingual-reranker-base", | |
| "answerdotai/answerai-colbert-small-v1", | |
| "BAAI/bge-m3", | |
| "BAAI/bge-reranker-v2-m3", | |
| "BAAI/bge-small-en-v1.5", | |
| "cl-nagoya/ruri-v3-30m", | |
| "cl-nagoya/ruri-v3-310m", | |
| "cl-nagoya/ruri-v3-reranker-310m", | |
| "codefuse-ai/F2LLM-v2-160M", | |
| "codefuse-ai/F2LLM-v2-330M", | |
| "codefuse-ai/F2LLM-v2-80M", | |
| "colbert-ir/colbertv2.0", | |
| "cross-encoder/ettin-reranker-150m-v1", | |
| "cross-encoder/ettin-reranker-17m-v1", | |
| "cross-encoder/ettin-reranker-32m-v1", | |
| "cross-encoder/ettin-reranker-400m-v1", | |
| "cross-encoder/ettin-reranker-68m-v1", | |
| "cross-encoder/mmarco-mMiniLMv2-L12-H384-v1", | |
| "google/embeddinggemma-300m", | |
| "HIT-TMG/KaLM-embedding-multilingual-mini-v1", | |
| "hotchpotch/bekko-embedding-v1-a25m", | |
| "hotchpotch/bekko-embedding-v1-a8m", | |
| "hotchpotch/japanese-reranker-xsmall-v2", | |
| "hotchpotch/japanese-splade-v2", | |
| "ibm-granite/granite-embedding-107m-multilingual", | |
| "ibm-granite/granite-embedding-278m-multilingual", | |
| "ibm-granite/granite-embedding-30m-sparse", | |
| "ibm-granite/granite-embedding-311m-multilingual-r2", | |
| "ibm-granite/granite-embedding-97m-multilingual-r2", | |
| "intfloat/e5-base-v2", | |
| "intfloat/e5-large-v2", | |
| "intfloat/e5-small-v2", | |
| "intfloat/multilingual-e5-base", | |
| "intfloat/multilingual-e5-large", | |
| "intfloat/multilingual-e5-small", | |
| "jinaai/jina-colbert-v2", | |
| "jinaai/jina-embeddings-v3", | |
| "jinaai/jina-embeddings-v5-text-nano", | |
| "jinaai/jina-embeddings-v5-text-small", | |
| "jinaai/jina-reranker-v2-base-multilingual", | |
| "KaLM-Embedding/KaLM-embedding-multilingual-mini-instruct-v2.5", | |
| "Lajavaness/bilingual-embedding-base", | |
| "Lajavaness/bilingual-embedding-small", | |
| "lightonai/ColBERT-Zero", | |
| "lightonai/DenseOn", | |
| "lightonai/GTE-ModernColBERT-v1", | |
| "lightonai/LateOn", | |
| "lightonai/mDenseOn", | |
| "lightonai/mLateOn", | |
| "LiquidAI/LFM2.5-ColBERT-350M", | |
| "LiquidAI/LFM2.5-Embedding-350M", | |
| "microsoft/harrier-oss-v1-0.6b", | |
| "microsoft/harrier-oss-v1-270m", | |
| "mixedbread-ai/mxbai-edge-colbert-v0-17m", | |
| "mixedbread-ai/mxbai-edge-colbert-v0-32m", | |
| "mixedbread-ai/mxbai-embed-xsmall-v1", | |
| "mixedbread-ai/mxbai-rerank-base-v2", | |
| "naver/splade-v3", | |
| "nomic-ai/nomic-embed-text-v1.5", | |
| "nomic-ai/nomic-embed-text-v2-moe", | |
| "nvidia/Nemotron-3-Embed-1B-BF16", | |
| "nvidia/Nemotron-3-Embed-8B-BF16", | |
| "opensearch-project/opensearch-neural-sparse-encoding-multilingual-v1", | |
| "perplexity-ai/pplx-embed-v1-0.6b", | |
| "perplexity-ai/pplx-embed-v1-4B", | |
| "perplexity-ai/pplx-embed-v1-late-0.6b", | |
| "prithivida/Splade_PP_en_v2", | |
| "Qwen/Qwen3-Embedding-0.6B", | |
| "Qwen/Qwen3-Embedding-4B", | |
| "Qwen/Qwen3-Embedding-8B", | |
| "Qwen/Qwen3-Reranker-0.6B", | |
| "sbintuitions/sarashina-embedding-v2-1b", | |
| "sentence-transformers/all-MiniLM-L12-v2", | |
| "sentence-transformers/all-MiniLM-L6-v2", | |
| "sentence-transformers/all-mpnet-base-v2", | |
| "sentence-transformers/LaBSE", | |
| "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2", | |
| "sentence-transformers/paraphrase-multilingual-mpnet-base-v2", | |
| "sentence-transformers/static-similarity-mrl-multilingual-v1", | |
| "Snowflake/snowflake-arctic-embed-l-v2.0", | |
| "voyageai/voyage-4-nano", | |
| ] | |