Update model list

models.py

@@ -1,143 +1,17 @@
-"""This file is used to store the list of all models that are used in the MTEB benchmark. It is generated by running the this script.
+"""Auto-generated list of models registered in MTEB."""
 
-It is intended to be used as a reference for the models that are used in the benchmark, and it used to link the model to the benchmark so
-that it is easier to see that we use the model. Discussed in this issue:
-https://github.com/embeddings-benchmark/mteb/issues/4309
-"""
-
-from pathlib import Path
-
-import mteb
-
-path_to_self = Path(__file__)
-models = mteb.get_model_metas()
-
-# print all model names and add them to this file as a list of model:
-unused = ["org/model_name"]
-
-model_names = [model.name for model in models if model.name not in unused]
-
-
-def format_list_as_python_code(lst):
-    """Format a list of strings as a Python list of strings.
-
-    Example:
-    input: ["model1", "model2", "model3"]
-    output:
-    models = [
-        "model1",
-        "model2",
-        "model3",
-    ]
-
-    """
-    formatted_list = "models = [\n"
-    for item in lst:
-        formatted_list += f'    "{item}",\n'
-    formatted_list += "]\n"
-    return formatted_list
-
-
-def insert_into_self(formatted_list):
-    """Insert the formatted list into this file between the INSERT START and INSERT END comments."""
-    with path_to_self.open("r") as f:
-        content = f.read()
-
-    new_content = content.replace(
-        "# INSERT START\n# INSERT END",
-        f"# INSERT START\n{formatted_list}\n# INSERT END",
-    )
-
-    with path_to_self.open("w") as f:
-        f.write(new_content)
-
-
-formatted_list = format_list_as_python_code(model_names)
-insert_into_self(formatted_list)
-print(f"Inserted {len(model_names)} models into {path_to_self}")
-
-# INSERT START
-models = [
-    "Snowflake/snowflake-arctic-embed-l",
-    "Snowflake/snowflake-arctic-embed-l-v2.0",
-    "Snowflake/snowflake-arctic-embed-m",
-    "Snowflake/snowflake-arctic-embed-m-long",
-    "Snowflake/snowflake-arctic-embed-m-v1.5",
-    "Snowflake/snowflake-arctic-embed-m-v2.0",
-    "Snowflake/snowflake-arctic-embed-s",
-    "Snowflake/snowflake-arctic-embed-xs",
-    "mteb/baseline-bm25s",
-    "zeroentropy/zembed-1",
-    "zeroentropy/zerank-1",
-    "zeroentropy/zerank-1-small",
-    "zeroentropy/zerank-2",
-    "google/vggish",
-    "Omartificial-Intelligence-Space/Arabic-Triplet-Matryoshka-V2",
-    "Kingsoft-LLM/QZhou-Embedding",
-    "Kingsoft-LLM/QZhou-Embedding-Zh",
-    "samaya-ai/promptriever-llama2-7b-v1",
-    "samaya-ai/promptriever-llama3.1-8b-v1",
-    "samaya-ai/promptriever-llama3.1-8b-instruct-v1",
-    "samaya-ai/promptriever-mistral-v0.1-7b-v1",
-    "sbintuitions/sarashina-embedding-v1-1b",
-    "sbintuitions/sarashina-embedding-v2-1b",
-    "mixedbread-ai/mxbai-edge-colbert-v0-17m",
-    "mixedbread-ai/mxbai-edge-colbert-v0-32m",
-    "mixedbread-ai/mxbai-embed-2d-large-v1",
-    "mixedbread-ai/mxbai-embed-large-v1",
-    "mixedbread-ai/mxbai-embed-xsmall-v1",
-    "mixedbread-ai/mxbai-rerank-base-v1",
-    "mixedbread-ai/mxbai-rerank-large-v1",
-    "mixedbread-ai/mxbai-rerank-xsmall-v1",
-    "vidore/colpali-v1.1",
-    "vidore/colpali-v1.2",
-    "vidore/colpali-v1.3",
-    "voyageai/voyage-multimodal-3",
-    "eagerworks/eager-embed-v1",
-    "stephantulkens/NIFE-gte-modernbert-base_as_router",
-    "stephantulkens/NIFE-mxbai-embed-large-v1_as_router",
-    "Bytedance/Seed1.6-embedding",
-    "microsoft/LLM2CLIP-Openai-B-16",
-    "microsoft/LLM2CLIP-Openai-L-14-224",
-    "microsoft/LLM2CLIP-Openai-L-14-336",
-    "FacebookAI/xlm-roberta-base",
-    "FacebookAI/xlm-roberta-large",
-    "codefuse-ai/C2LLM-0.5B",
-    "codefuse-ai/C2LLM-7B",
-    "codefuse-ai/F2LLM-0.6B",
-    "codefuse-ai/F2LLM-1.7B",
-    "codefuse-ai/F2LLM-4B",
-    "codefuse-ai/F2LLM-v2-0.6B",
-    "codefuse-ai/F2LLM-v2-14B",
-    "codefuse-ai/F2LLM-v2-160M",
-    "codefuse-ai/F2LLM-v2-1.7B",
-    "codefuse-ai/F2LLM-v2-330M",
-    "codefuse-ai/F2LLM-v2-4B",
-    "codefuse-ai/F2LLM-v2-80M",
-    "codefuse-ai/F2LLM-v2-8B",
-    "ibm-granite/granite-vision-3.3-2b-embedding",
-    "openai/clip-vit-base-patch16",
-    "openai/clip-vit-base-patch32",
-    "openai/clip-vit-large-patch14",
-    "shibing624/text2vec-base-chinese",
-    "shibing624/text2vec-base-chinese-paraphrase",
-    "shibing624/text2vec-base-multilingual",
-    "LCO-Embedding/LCO-Embedding-Omni-3B",
-    "LCO-Embedding/LCO-Embedding-Omni-7B",
-    "kakaobrain/align-base",
-    "IEITYuan/Yuan-embedding-2.0-en",
-    "facebook/metaclip-2-mt5-worldwide-b32",
-    "dmedhi/PawanEmbd-68M",
-    "BAAI/bge-reranker-v2-m3",
-    "jinaai/jina-reranker-v2-base-multilingual",
-    "cross-encoder/ms-marco-MiniLM-L12-v2",
-    "cross-encoder/ms-marco-MiniLM-L2-v2",
-    "cross-encoder/ms-marco-MiniLM-L4-v2",
-    "cross-encoder/ms-marco-MiniLM-L6-v2",
-    "cross-encoder/ms-marco-TinyBERT-L2-v2",
-    "emillykkejensen/EmbeddingGemma-Scandi-300m",
-    "emillykkejensen/mmBERTscandi-base-embedding",
-    "emillykkejensen/Qwen3-Embedding-Scandi-0.6B",
+MODEL_NAMES = [
+    "AITeamVN/Vietnamese_Embedding",
+    "Alibaba-NLP/gme-Qwen2-VL-2B-Instruct",
+    "Alibaba-NLP/gme-Qwen2-VL-7B-Instruct",
+    "Alibaba-NLP/gte-Qwen1.5-7B-instruct",
+    "Alibaba-NLP/gte-Qwen2-1.5B-instruct",
+    "Alibaba-NLP/gte-Qwen2-7B-instruct",
+    "Alibaba-NLP/gte-base-en-v1.5",
+    "Alibaba-NLP/gte-modernbert-base",
+    "Alibaba-NLP/gte-multilingual-base",
+    "ApsaraStackMaaS/EvoQwen2.5-VL-Retriever-3B-v1",
+    "ApsaraStackMaaS/EvoQwen2.5-VL-Retriever-7B-v1",
     "BAAI/bge-base-en",
     "BAAI/bge-base-en-v1.5",
     "BAAI/bge-base-zh",
@@ -150,64 +24,87 @@ models = [
     "BAAI/bge-m3",
     "BAAI/bge-m3-unsupervised",
     "BAAI/bge-multilingual-gemma2",
+    "BAAI/bge-reranker-v2-m3",
     "BAAI/bge-small-en",
     "BAAI/bge-small-en-v1.5",
     "BAAI/bge-small-zh",
     "BAAI/bge-small-zh-v1.5",
-    "manu/bge-m3-custom-fr",
-    "spartan8806/atles-champion-embedding",
-    "prdev/mini-gte",
-    "SamilPwC-AXNode-GenAI/PwC-Embedding_expr",
-    "m3hrdadfi/bert-zwnj-wnli-mean-tokens",
-    "sbunlp/fabert",
-    "HooshvareLab/bert-base-parsbert-uncased",
-    "m3hrdadfi/roberta-zwnj-wnli-mean-tokens",
-    "myrkur/sentence-transformer-parsbert-fa",
-    "PartAI/TookaBERT-Base",
-    "PartAI/Tooka-SBERT",
-    "PartAI/Tooka-SBERT-V2-Large",
-    "PartAI/Tooka-SBERT-V2-Small",
-    "castorini/repllama-v1-7b-lora-passage",
-    "samaya-ai/RepLLaMA-reproduced",
-    "nomic-ai/nomic-embed-code",
-    "nomic-ai/nomic-embed-text-v2-moe",
-    "nomic-ai/nomic-embed-text-v1",
-    "nomic-ai/nomic-embed-text-v1.5",
-    "nomic-ai/nomic-embed-text-v1-ablated",
-    "nomic-ai/nomic-embed-text-v1-unsupervised",
-    "nomic-ai/modernbert-embed-base",
-    "nomic-ai/nomic-embed-vision-v1.5",
-    "bflhc/MoD-Embedding",
-    "ReasonIR/ReasonIR-8B",
-    "yibinlei/LENS-d4000",
-    "yibinlei/LENS-d8000",
-    "facebook/dinov2-base",
-    "facebook/dinov2-giant",
-    "facebook/dinov2-large",
-    "facebook/dinov2-small",
-    "facebook/webssl-dino1b-full2b-224",
-    "facebook/webssl-dino2b-full2b-224",
-    "facebook/webssl-dino2b-heavy2b-224",
-    "facebook/webssl-dino2b-light2b-224",
-    "facebook/webssl-dino300m-full2b-224",
-    "facebook/webssl-dino3b-full2b-224",
-    "facebook/webssl-dino3b-heavy2b-224",
-    "facebook/webssl-dino3b-light2b-224",
-    "facebook/webssl-dino5b-full2b-224",
-    "facebook/webssl-dino7b-full8b-224",
-    "facebook/webssl-dino7b-full8b-378",
-    "facebook/webssl-dino7b-full8b-518",
-    "facebook/webssl-mae1b-full2b-224",
-    "facebook/webssl-mae300m-full2b-224",
-    "facebook/webssl-mae700m-full2b-224",
-    "TencentBAC/Conan-embedding-v2",
+    "BAAI/bge-visualized-base",
+    "BAAI/bge-visualized-m3",
+    "BMRetriever/BMRetriever-1B",
+    "BMRetriever/BMRetriever-2B",
+    "BMRetriever/BMRetriever-410M",
+    "BMRetriever/BMRetriever-7B",
+    "BeastyZ/e5-R-mistral-7b",
+    "BidirLM/BidirLM-0.6B-Embedding",
+    "BidirLM/BidirLM-1.7B-Embedding",
+    "BidirLM/BidirLM-1B-Embedding",
+    "BidirLM/BidirLM-270M-Embedding",
+    "ByteDance-Seed/Seed1.5-Embedding",
+    "ByteDance/ListConRanker",
+    "Bytedance/Seed1.6-embedding",
+    "Bytedance/Seed1.6-embedding-1215",
+    "Classical/Yinka",
+    "Cohere/Cohere-embed-english-light-v3.0",
+    "Cohere/Cohere-embed-english-v3.0",
+    "Cohere/Cohere-embed-multilingual-light-v3.0",
+    "Cohere/Cohere-embed-multilingual-v3.0",
+    "Cohere/Cohere-embed-v4.0",
+    "Cohere/Cohere-embed-v4.0 (output_dtype=binary)",
+    "Cohere/Cohere-embed-v4.0 (output_dtype=int8)",
+    "DMetaSoul/Dmeta-embedding-zh-small",
+    "DMetaSoul/sbert-chinese-general-v1",
+    "DeepPavlov/distilrubert-small-cased-conversational",
+    "DeepPavlov/rubert-base-cased",
+    "DeepPavlov/rubert-base-cased-sentence",
+    "FacebookAI/xlm-roberta-base",
+    "FacebookAI/xlm-roberta-large",
     "Gameselo/STS-multilingual-mpnet-base-v2",
+    "GeoGPT-Research-Project/GeoEmbedding",
+    "GreenNode/GreenNode-Embedding-E5-Large-VN-V1",
+    "GreenNode/GreenNode-Embedding-KaLM-Mini-Instruct-VN-V1",
+    "GreenNode/GreenNode-Embedding-Large-VN-Mixed-V1",
+    "GreenNode/GreenNode-Embedding-Large-VN-V1",
+    "GritLM/GritLM-7B",
+    "GritLM/GritLM-8x7B",
+    "HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1",
+    "HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1.5",
+    "HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v2",
+    "HIT-TMG/KaLM-embedding-multilingual-mini-v1",
     "Haon-Chen/speed-embedding-7b-instruct",
+    "HooshvareLab/bert-base-parsbert-uncased",
     "Hum-Works/lodestone-base-4096-v1",
+    "ICT-TIME-and-Querit/BOOM_4B_v1",
+    "IEITYuan/Yuan-embedding-2.0-en",
+    "IEITYuan/Yuan-embedding-2.0-zh",
     "Jaume/gemma-2b-embeddings",
+    "KBLab/sentence-bert-swedish-cased",
+    "KFST/XLMRoberta-en-da-sv-nb",
+    "KaLM-Embedding/KaLM-embedding-multilingual-mini-instruct-v2.5",
+    "KennethEnevoldsen/dfm-sentence-encoder-large",
+    "KennethEnevoldsen/dfm-sentence-encoder-medium",
+    "Kingsoft-LLM/QZhou-Embedding",
+    "Kingsoft-LLM/QZhou-Embedding-Zh",
+    "Kowshik24/bangla-sentence-transformer-ft-matryoshka-paraphrase-multilingual-mpnet-base-v2",
+    "LCO-Embedding/LCO-Embedding-Omni-3B",
+    "LCO-Embedding/LCO-Embedding-Omni-7B",
     "Lajavaness/bilingual-embedding-base",
     "Lajavaness/bilingual-embedding-large",
     "Lajavaness/bilingual-embedding-small",
+    "Linq-AI-Research/Linq-Embed-Mistral",
+    "MCINext/Hakim",
+    "MCINext/Hakim-small",
+    "MCINext/Hakim-unsup",
+    "MIT/ast-finetuned-audioset-10-10-0.4593",
+    "ManiacLabs/miniac-embed",
+    "McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised",
+    "McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse",
+    "McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised",
+    "McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse",
+    "McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised",
+    "McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse",
+    "McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-supervised",
+    "McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse",
     "Mihaiii/Bulbasaur",
     "Mihaiii/Ivysaur",
     "Mihaiii/Squirtle",
@@ -215,54 +112,216 @@ models = [
     "Mihaiii/Wartortle",
     "Mihaiii/gte-micro",
     "Mihaiii/gte-micro-v4",
+    "Mira190/Euler-Legal-Embedding-V1",
+    "MongoDB/mdbr-leaf-ir",
+    "MongoDB/mdbr-leaf-mt",
+    "NbAiLab/nb-bert-base",
+    "NbAiLab/nb-bert-large",
+    "NbAiLab/nb-sbert-base",
+    "NeuML/pubmedbert-base-embeddings-100K",
+    "NeuML/pubmedbert-base-embeddings-1M",
+    "NeuML/pubmedbert-base-embeddings-2M",
+    "NeuML/pubmedbert-base-embeddings-500K",
+    "NeuML/pubmedbert-base-embeddings-8M",
+    "NovaSearch/jasper_en_vision_language_v1",
+    "NovaSearch/stella_en_1.5B_v5",
+    "NovaSearch/stella_en_400M_v5",
+    "Octen/Octen-Embedding-0.6B",
+    "Octen/Octen-Embedding-4B",
+    "Octen/Octen-Embedding-4B-INT8",
+    "Octen/Octen-Embedding-8B",
+    "Octen/Octen-Embedding-8B-INT8",
     "Omartificial-Intelligence-Space/Arabert-all-nli-triplet-Matryoshka",
     "Omartificial-Intelligence-Space/Arabic-MiniLM-L12-v2-all-nli-triplet",
+    "Omartificial-Intelligence-Space/Arabic-Triplet-Matryoshka-V2",
     "Omartificial-Intelligence-Space/Arabic-all-nli-triplet-Matryoshka",
     "Omartificial-Intelligence-Space/Arabic-labse-Matryoshka",
     "Omartificial-Intelligence-Space/Arabic-mpnet-base-all-nli-triplet",
     "Omartificial-Intelligence-Space/Marbert-all-nli-triplet-Matryoshka",
+    "OpenMuQ/MuQ-MuLan-large",
+    "OpenSearch-AI/Ops-Colqwen3-4B",
+    "OpenSearch-AI/Ops-MoA-Conan-embedding-v1",
+    "OpenSearch-AI/Ops-MoA-Yuan-embedding-1.0",
     "OrdalieTech/Solon-embeddings-large-0.1",
-    "aari1995/German_Semantic_STS_V2",
-    "abhinand/MedEmbed-small-v0.1",
-    "avsolatorio/GIST-all-MiniLM-L6-v2",
-    "avsolatorio/GIST-Embedding-v0",
-    "avsolatorio/GIST-large-Embedding-v0",
-    "avsolatorio/GIST-small-Embedding-v0",
-    "avsolatorio/NoInstruct-small-Embedding-v0",
-    "bigscience/sgpt-bloom-7b1-msmarco",
-    "brahmairesearch/slx-v0.1",
-    "TencentBAC/Conan-embedding-v1",
-    "consciousAI/cai-lunaris-text-embeddings",
-    "consciousAI/cai-stellaris-text-embeddings",
-    "deepfile/embedder-100p",
-    "DMetaSoul/Dmeta-embedding-zh-small",
-    "dwzhu/e5-base-4k",
-    "llmrails/ember-v1",
-    "infgrad/stella-base-en-v2",
-    "izhx/udever-bloom-1b1",
-    "izhx/udever-bloom-3b",
-    "izhx/udever-bloom-560m",
-    "izhx/udever-bloom-7b1",
-    "malenia1/ternary-weight-embedding",
-    "manu/sentence_croissant_alpha_v0.2",
-    "manu/sentence_croissant_alpha_v0.3",
-    "manu/sentence_croissant_alpha_v0.4",
-    "omarelshehy/arabic-english-sts-matryoshka",
-    "openbmb/MiniCPM-Embedding",
-    "DMetaSoul/sbert-chinese-general-v1",
-    "sdadas/mmlw-e5-base",
-    "sdadas/mmlw-e5-large",
-    "sdadas/mmlw-e5-small",
-    "sdadas/mmlw-roberta-base",
-    "sdadas/mmlw-roberta-large",
-    "silma-ai/silma-embeddding-matryoshka-v0.1",
-    "thenlper/gte-base",
-    "thenlper/gte-large",
-    "thenlper/gte-small",
-    "lier007/xiaobu-embedding",
-    "lier007/xiaobu-embedding-v2",
-    "Classical/Yinka",
-    "Kowshik24/bangla-sentence-transformer-ft-matryoshka-paraphrase-multilingual-mpnet-base-v2",
+    "OrdalieTech/Solon-embeddings-mini-beta-1.1",
+    "PartAI/Tooka-SBERT",
+    "PartAI/Tooka-SBERT-V2-Large",
+    "PartAI/Tooka-SBERT-V2-Small",
+    "PartAI/TookaBERT-Base",
+    "Qodo/Qodo-Embed-1-1.5B",
+    "Qodo/Qodo-Embed-1-7B",
+    "QuanSun/EVA02-CLIP-B-16",
+    "QuanSun/EVA02-CLIP-L-14",
+    "QuanSun/EVA02-CLIP-bigE-14",
+    "QuanSun/EVA02-CLIP-bigE-14-plus",
+    "Querit/Querit",
+    "Qwen/Qwen2-Audio-7B",
+    "Qwen/Qwen2.5-Omni-3B",
+    "Qwen/Qwen2.5-Omni-7B",
+    "Qwen/Qwen3-Embedding-0.6B",
+    "Qwen/Qwen3-Embedding-4B",
+    "Qwen/Qwen3-Embedding-8B",
+    "Qwen/Qwen3-Omni-30B-A3B-Captioner",
+    "Qwen/Qwen3-Omni-30B-A3B-Instruct",
+    "Qwen/Qwen3-Omni-30B-A3B-Thinking",
+    "Qwen/Qwen3-VL-Embedding-2B",
+    "Qwen/Qwen3-VL-Embedding-8B",
+    "ReasonIR/ReasonIR-8B",
+    "Sailesh97/Hinvec",
+    "Salesforce/SFR-Embedding-2_R",
+    "Salesforce/SFR-Embedding-Code-2B_R",
+    "Salesforce/SFR-Embedding-Mistral",
+    "Salesforce/blip-image-captioning-base",
+    "Salesforce/blip-image-captioning-large",
+    "Salesforce/blip-itm-base-coco",
+    "Salesforce/blip-itm-base-flickr",
+    "Salesforce/blip-itm-large-coco",
+    "Salesforce/blip-itm-large-flickr",
+    "Salesforce/blip-vqa-base",
+    "Salesforce/blip-vqa-capfilt-large",
+    "Salesforce/blip2-opt-2.7b",
+    "Salesforce/blip2-opt-6.7b-coco",
+    "SamilPwC-AXNode-GenAI/PwC-Embedding_expr",
+    "Shuu12121/CodeSearch-ModernBERT-Crow-Plus",
+    "Snowflake/snowflake-arctic-embed-l",
+    "Snowflake/snowflake-arctic-embed-l-v2.0",
+    "Snowflake/snowflake-arctic-embed-m",
+    "Snowflake/snowflake-arctic-embed-m-long",
+    "Snowflake/snowflake-arctic-embed-m-v1.5",
+    "Snowflake/snowflake-arctic-embed-m-v2.0",
+    "Snowflake/snowflake-arctic-embed-s",
+    "Snowflake/snowflake-arctic-embed-xs",
+    "TIGER-Lab/VLM2Vec-Full",
+    "TIGER-Lab/VLM2Vec-LoRA",
+    "Tarka-AIR/Tarka-Embedding-150M-V1",
+    "Tarka-AIR/Tarka-Embedding-350M-V1",
+    "TencentBAC/Conan-embedding-v1",
+    "TencentBAC/Conan-embedding-v2",
+    "TomoroAI/tomoro-colqwen3-embed-4b",
+    "TomoroAI/tomoro-colqwen3-embed-8b",
+    "VAGOsolutions/SauerkrautLM-ColLFM2-450M-v0.1",
+    "VAGOsolutions/SauerkrautLM-ColMinistral3-3b-v0.1",
+    "VAGOsolutions/SauerkrautLM-ColQwen3-1.7b-Turbo-v0.1",
+    "VAGOsolutions/SauerkrautLM-ColQwen3-2b-v0.1",
+    "VAGOsolutions/SauerkrautLM-ColQwen3-4b-v0.1",
+    "VAGOsolutions/SauerkrautLM-ColQwen3-8b-v0.1",
+    "VPLabs/SearchMap_Preview",
+    "VoVanPhuc/sup-SimCSE-VietNamese-phobert-base",
+    "WhereIsAI/UAE-Large-V1",
+    "aari1995/German_Semantic_STS_V2",
+    "abhinand/MedEmbed-small-v0.1",
+    "ai-forever/FRIDA",
+    "ai-forever/ru-en-RoSBERTa",
+    "ai-forever/sbert_large_mt_nlu_ru",
+    "ai-forever/sbert_large_nlu_ru",
+    "ai-sage/Giga-Embeddings-instruct",
+    "amazon/Titan-text-embeddings-v2",
+    "andersborges/model2vecdk",
+    "andersborges/model2vecdk-stem",
+    "annamodels/LGAI-Embedding-Preview",
+    "asapp/sew-d-base-plus-400k-ft-ls100h",
+    "asapp/sew-d-mid-400k-ft-ls100h",
+    "asapp/sew-d-tiny-100k-ft-ls100h",
+    "athrael-soju/colqwen3.5-4.5B-v3",
+    "avsolatorio/GIST-Embedding-v0",
+    "avsolatorio/GIST-all-MiniLM-L6-v2",
+    "avsolatorio/GIST-large-Embedding-v0",
+    "avsolatorio/GIST-small-Embedding-v0",
+    "avsolatorio/NoInstruct-small-Embedding-v0",
+    "baseline/Human",
+    "bedrock/amazon-titan-embed-text-v1",
+    "bedrock/amazon-titan-embed-text-v2",
+    "bedrock/cohere-embed-english-v3",
+    "bedrock/cohere-embed-multilingual-v3",
+    "bflhc/MoD-Embedding",
+    "bigscience/sgpt-bloom-7b1-msmarco",
+    "bisectgroup/BiCA-base",
+    "bkai-foundation-models/vietnamese-bi-encoder",
+    "brahmairesearch/slx-v0.1",
+    "castorini/monot5-3b-msmarco-10k",
+    "castorini/monot5-base-msmarco-10k",
+    "castorini/monot5-large-msmarco-10k",
+    "castorini/monot5-small-msmarco-10k",
+    "castorini/repllama-v1-7b-lora-passage",
+    "cl-nagoya/ruri-base",
+    "cl-nagoya/ruri-base-v2",
+    "cl-nagoya/ruri-large",
+    "cl-nagoya/ruri-large-v2",
+    "cl-nagoya/ruri-small",
+    "cl-nagoya/ruri-small-v2",
+    "cl-nagoya/ruri-v3-130m",
+    "cl-nagoya/ruri-v3-30m",
+    "cl-nagoya/ruri-v3-310m",
+    "cl-nagoya/ruri-v3-70m",
+    "clips/e5-base-trm-nl",
+    "clips/e5-large-trm-nl",
+    "clips/e5-small-trm-nl",
+    "codefuse-ai/C2LLM-0.5B",
+    "codefuse-ai/C2LLM-7B",
+    "codefuse-ai/F2LLM-0.6B",
+    "codefuse-ai/F2LLM-1.7B",
+    "codefuse-ai/F2LLM-4B",
+    "codefuse-ai/F2LLM-v2-0.6B",
+    "codefuse-ai/F2LLM-v2-1.7B",
+    "codefuse-ai/F2LLM-v2-14B",
+    "codefuse-ai/F2LLM-v2-160M",
+    "codefuse-ai/F2LLM-v2-330M",
+    "codefuse-ai/F2LLM-v2-4B",
+    "codefuse-ai/F2LLM-v2-80M",
+    "codefuse-ai/F2LLM-v2-8B",
+    "codesage/codesage-base-v2",
+    "codesage/codesage-large-v2",
+    "codesage/codesage-small-v2",
+    "cohere/embed-english-v3.0",
+    "cohere/embed-multilingual-v3.0",
+    "cointegrated/LaBSE-en-ru",
+    "cointegrated/rubert-tiny",
+    "cointegrated/rubert-tiny2",
+    "colbert-ir/colbertv2.0",
+    "consciousAI/cai-lunaris-text-embeddings",
+    "consciousAI/cai-stellaris-text-embeddings",
+    "contextboxai/halong_embedding",
+    "cross-encoder/ms-marco-MiniLM-L12-v2",
+    "cross-encoder/ms-marco-MiniLM-L2-v2",
+    "cross-encoder/ms-marco-MiniLM-L4-v2",
+    "cross-encoder/ms-marco-MiniLM-L6-v2",
+    "cross-encoder/ms-marco-TinyBERT-L2-v2",
+    "deepfile/embedder-100p",
+    "deepvk/USER-base",
+    "deepvk/USER-bge-m3",
+    "deepvk/USER2-base",
+    "deepvk/USER2-small",
+    "deepvk/deberta-v1-base",
+    "dmedhi/PawanEmbd-68M",
+    "dunzhang/stella-large-zh-v3-1792d",
+    "dunzhang/stella-mrl-large-zh-v3.5-1792d",
+    "dwzhu/e5-base-4k",
+    "eagerworks/eager-embed-v1",
+    "emillykkejensen/EmbeddingGemma-Scandi-300m",
+    "emillykkejensen/Qwen3-Embedding-Scandi-0.6B",
+    "emillykkejensen/mmBERTscandi-base-embedding",
+    "facebook/SONAR",
+    "facebook/contriever-msmarco",
+    "facebook/data2vec-audio-base-960h",
+    "facebook/data2vec-audio-large-960h",
+    "facebook/dinov2-base",
+    "facebook/dinov2-giant",
+    "facebook/dinov2-large",
+    "facebook/dinov2-small",
+    "facebook/encodec_24khz",
+    "facebook/hubert-base-ls960",
+    "facebook/hubert-large-ls960-ft",
+    "facebook/metaclip-2-mt5-worldwide-b32",
+    "facebook/mms-1b-all",
+    "facebook/mms-1b-fl102",
+    "facebook/mms-1b-l1107",
+    "facebook/pe-av-base",
+    "facebook/pe-av-base-16-frame",
+    "facebook/pe-av-large",
+    "facebook/pe-av-large-16-frame",
+    "facebook/pe-av-small",
+    "facebook/pe-av-small-16-frame",
+    "facebook/seamless-m4t-v2-large",
     "facebook/wav2vec2-base",
     "facebook/wav2vec2-base-960h",
     "facebook/wav2vec2-large",
@@ -272,69 +331,79 @@ models = [
     "facebook/wav2vec2-xls-r-2b",
     "facebook/wav2vec2-xls-r-2b-21-to-en",
     "facebook/wav2vec2-xls-r-300m",
-    "vitouphy/wav2vec2-xls-r-300m-phoneme",
-    "laion/clap-htsat-fused",
-    "laion/clap-htsat-unfused",
-    "laion/larger_clap_general",
-    "laion/larger_clap_music",
-    "laion/larger_clap_music_and_speech",
-    "colbert-ir/colbertv2.0",
-    "jinaai/jina-colbert-v2",
-    "lightonai/ColBERT-Zero",
-    "lightonai/ColBERT-Zero-supervised",
-    "lightonai/ColBERT-Zero-unsupervised",
-    "lightonai/GTE-ModernColBERT-v1",
-    "lightonai/LateOn-Code",
-    "lightonai/LateOn-Code-edge",
-    "lightonai/LateOn-Code-edge-pretrain",
-    "lightonai/LateOn-Code-pretrain",
-    "lightonai/Reason-ModernColBERT",
-    "OpenSearch-AI/Ops-Colqwen3-4B",
-    "Alibaba-NLP/gte-base-en-v1.5",
-    "thenlper/gte-base-zh",
-    "thenlper/gte-large-zh",
-    "Alibaba-NLP/gte-modernbert-base",
-    "Alibaba-NLP/gte-multilingual-base",
-    "Alibaba-NLP/gte-Qwen1.5-7B-instruct",
-    "Alibaba-NLP/gte-Qwen2-1.5B-instruct",
-    "Alibaba-NLP/gte-Qwen2-7B-instruct",
-    "thenlper/gte-small-zh",
-    "jinaai/jina-clip-v1",
-    "jinaai/jina-clip-v2",
+    "facebook/webssl-dino1b-full2b-224",
+    "facebook/webssl-dino2b-full2b-224",
+    "facebook/webssl-dino2b-heavy2b-224",
+    "facebook/webssl-dino2b-light2b-224",
+    "facebook/webssl-dino300m-full2b-224",
+    "facebook/webssl-dino3b-full2b-224",
+    "facebook/webssl-dino3b-heavy2b-224",
+    "facebook/webssl-dino3b-light2b-224",
+    "facebook/webssl-dino5b-full2b-224",
+    "facebook/webssl-dino7b-full8b-224",
+    "facebook/webssl-dino7b-full8b-378",
+    "facebook/webssl-dino7b-full8b-518",
+    "facebook/webssl-mae1b-full2b-224",
+    "facebook/webssl-mae300m-full2b-224",
+    "facebook/webssl-mae700m-full2b-224",
+    "fangxq/XYZ-embedding",
+    "fyaronskiy/english_code_retriever",
+    "geoffsee/auto-g-embed-st",
+    "google/embeddinggemma-300m",
+    "google/flan-t5-base",
+    "google/flan-t5-large",
+    "google/flan-t5-xl",
+    "google/flan-t5-xxl",
+    "google/gemini-embedding-001",
+    "google/gemini-embedding-2-preview",
+    "google/siglip-base-patch16-224",
+    "google/siglip-base-patch16-256",
+    "google/siglip-base-patch16-256-multilingual",
+    "google/siglip-base-patch16-384",
+    "google/siglip-base-patch16-512",
+    "google/siglip-large-patch16-256",
+    "google/siglip-large-patch16-384",
+    "google/siglip-so400m-patch14-224",
+    "google/siglip-so400m-patch14-384",
+    "google/siglip-so400m-patch16-256-i18n",
+    "google/text-embedding-004",
+    "google/text-embedding-005",
+    "google/text-multilingual-embedding-002",
+    "google/vggish",
+    "google/yamnet",
+    "iampanda/zpoint_large_embedding_zh",
+    "ibm-granite/granite-embedding-107m-multilingual",
+    "ibm-granite/granite-embedding-125m-english",
+    "ibm-granite/granite-embedding-278m-multilingual",
+    "ibm-granite/granite-embedding-30m-english",
+    "ibm-granite/granite-embedding-english-r2",
+    "ibm-granite/granite-embedding-small-english-r2",
+    "ibm-granite/granite-vision-3.3-2b-embedding",
+    "infgrad/Jasper-Token-Compression-600M",
+    "infgrad/stella-base-en-v2",
+    "infgrad/stella-base-zh-v3-1792d",
+    "infly/inf-retriever-v1",
+    "infly/inf-retriever-v1-1.5b",
     "intfloat/e5-base",
     "intfloat/e5-base-v2",
+    "intfloat/e5-large",
     "intfloat/e5-large-v2",
+    "intfloat/e5-mistral-7b-instruct",
     "intfloat/e5-small",
     "intfloat/e5-small-v2",
-    "intfloat/e5-large",
+    "intfloat/mmE5-mllama-11b-instruct",
     "intfloat/multilingual-e5-base",
     "intfloat/multilingual-e5-large",
+    "intfloat/multilingual-e5-large-instruct",
     "intfloat/multilingual-e5-small",
-    "tencent/Youtu-Embedding",
-    "moka-ai/m3e-base",
-    "moka-ai/m3e-large",
-    "moka-ai/m3e-small",
-    "Bytedance/Seed1.6-embedding-1215",
-    "QuanSun/EVA02-CLIP-B-16",
-    "QuanSun/EVA02-CLIP-L-14",
-    "QuanSun/EVA02-CLIP-bigE-14",
-    "QuanSun/EVA02-CLIP-bigE-14-plus",
-    "Salesforce/blip-image-captioning-base",
-    "Salesforce/blip-image-captioning-large",
-    "Salesforce/blip-itm-base-coco",
-    "Salesforce/blip-itm-base-flickr",
-    "Salesforce/blip-itm-large-coco",
-    "Salesforce/blip-itm-large-flickr",
-    "Salesforce/blip-vqa-base",
-    "Salesforce/blip-vqa-capfilt-large",
-    "Salesforce/SFR-Embedding-2_R",
-    "Salesforce/SFR-Embedding-Code-2B_R",
-    "Salesforce/SFR-Embedding-Mistral",
-    "Cohere/Cohere-embed-v4.0",
-    "Cohere/Cohere-embed-v4.0 (output_dtype=binary)",
-    "Cohere/Cohere-embed-v4.0 (output_dtype=int8)",
-    "cohere/embed-english-v3.0",
-    "cohere/embed-multilingual-v3.0",
+    "izhx/udever-bloom-1b1",
+    "izhx/udever-bloom-3b",
+    "izhx/udever-bloom-560m",
+    "izhx/udever-bloom-7b1",
+    "jhu-clsp/FollowIR-7B",
+    "jinaai/jina-clip-v1",
+    "jinaai/jina-clip-v2",
+    "jinaai/jina-colbert-v2",
     "jinaai/jina-embedding-b-en-v1",
     "jinaai/jina-embedding-s-en-v1",
     "jinaai/jina-embeddings-v2-base-en",
@@ -343,35 +412,61 @@ models = [
     "jinaai/jina-embeddings-v4",
     "jinaai/jina-embeddings-v5-text-nano",
     "jinaai/jina-embeddings-v5-text-small",
+    "jinaai/jina-reranker-v2-base-multilingual",
     "jinaai/jina-reranker-v3",
+    "jxm/cde-small-v1",
+    "jxm/cde-small-v2",
+    "kakaobrain/align-base",
+    "keeeeenw/MicroLlama-text-embedding",
+    "laion/CLIP-ViT-B-16-DataComp.XL-s13B-b90K",
+    "laion/CLIP-ViT-B-32-DataComp.XL-s13B-b90K",
+    "laion/CLIP-ViT-B-32-laion2B-s34B-b79K",
+    "laion/CLIP-ViT-H-14-laion2B-s32B-b79K",
+    "laion/CLIP-ViT-L-14-DataComp.XL-s13B-b90K",
+    "laion/CLIP-ViT-L-14-laion2B-s32B-b82K",
+    "laion/CLIP-ViT-bigG-14-laion2B-39B-b160k",
+    "laion/CLIP-ViT-g-14-laion2B-s34B-b88K",
+    "laion/clap-htsat-fused",
+    "laion/clap-htsat-unfused",
+    "laion/larger_clap_general",
+    "laion/larger_clap_music",
+    "laion/larger_clap_music_and_speech",
+    "lier007/xiaobu-embedding",
+    "lier007/xiaobu-embedding-v2",
+    "lightonai/ColBERT-Zero",
+    "lightonai/ColBERT-Zero-supervised",
+    "lightonai/ColBERT-Zero-unsupervised",
+    "lightonai/GTE-ModernColBERT-v1",
+    "lightonai/LateOn-Code",
+    "lightonai/LateOn-Code-edge",
+    "lightonai/LateOn-Code-edge-pretrain",
+    "lightonai/LateOn-Code-pretrain",
+    "lightonai/Reason-ModernColBERT",
+    "llamaindex/vdr-2b-multi-v1",
+    "llmrails/ember-v1",
     "lyrebird/wav2clip",
+    "m3hrdadfi/bert-zwnj-wnli-mean-tokens",
+    "m3hrdadfi/roberta-zwnj-wnli-mean-tokens",
+    "malenia1/ternary-weight-embedding",
+    "manu/bge-m3-custom-fr",
+    "manu/sentence_croissant_alpha_v0.2",
+    "manu/sentence_croissant_alpha_v0.3",
+    "manu/sentence_croissant_alpha_v0.4",
+    "manveertamber/cadet-embed-base-v1",
+    "meta-llama/Llama-2-7b-chat-hf",
+    "meta-llama/Llama-2-7b-hf",
+    "microsoft/LLM2CLIP-Openai-B-16",
+    "microsoft/LLM2CLIP-Openai-L-14-224",
+    "microsoft/LLM2CLIP-Openai-L-14-336",
+    "microsoft/harrier-oss-v1-0.6b",
+    "microsoft/harrier-oss-v1-270m",
+    "microsoft/harrier-oss-v1-27b",
     "microsoft/msclap-2022",
     "microsoft/msclap-2023",
-    "voyageai/voyage-2",
-    "voyageai/voyage-3",
-    "voyageai/voyage-3.5",
-    "voyageai/voyage-3.5 (output_dtype=binary)",
-    "voyageai/voyage-3.5 (output_dtype=int8)",
-    "voyageai/voyage-3-m-exp",
-    "voyageai/voyage-3-large",
-    "voyageai/voyage-3-lite",
-    "voyageai/voyage-4",
-    "voyageai/voyage-4-large",
-    "voyageai/voyage-4-large (embed_dim=2048)",
-    "voyageai/voyage-4-lite",
-    "voyageai/voyage-4-nano",
-    "voyageai/voyage-code-2",
-    "voyageai/voyage-code-3",
-    "voyageai/voyage-finance-2",
-    "voyageai/voyage-large-2",
-    "voyageai/voyage-large-2-instruct",
-    "voyageai/voyage-law-2",
-    "voyageai/voyage-multilingual-2",
+    "microsoft/speecht5_asr",
+    "microsoft/speecht5_multimodal",
+    "microsoft/speecht5_tts",
     "microsoft/unispeech-sat-base-100h-libri-ft",
-    "MongoDB/mdbr-leaf-ir",
-    "MongoDB/mdbr-leaf-mt",
-    "KennethEnevoldsen/dfm-sentence-encoder-large",
-    "KennethEnevoldsen/dfm-sentence-encoder-medium",
     "microsoft/wavlm-base",
     "microsoft/wavlm-base-plus",
     "microsoft/wavlm-base-plus-sd",
@@ -379,129 +474,110 @@ models = [
     "microsoft/wavlm-base-sd",
     "microsoft/wavlm-base-sv",
     "microsoft/wavlm-large",
-    "jxm/cde-small-v1",
-    "jxm/cde-small-v2",
-    "Sailesh97/Hinvec",
-    "w601sxs/b1ade-embed",
-    "google/flan-t5-base",
-    "google/flan-t5-large",
-    "google/flan-t5-xl",
-    "google/flan-t5-xxl",
-    "jhu-clsp/FollowIR-7B",
-    "meta-llama/Llama-2-7b-hf",
-    "meta-llama/Llama-2-7b-chat-hf",
+    "minishlab/M2V_base_glove",
+    "minishlab/M2V_base_glove_subword",
+    "minishlab/M2V_base_output",
+    "minishlab/M2V_multilingual_output",
+    "minishlab/potion-base-2M",
+    "minishlab/potion-base-32M",
+    "minishlab/potion-base-4M",
+    "minishlab/potion-base-8M",
+    "minishlab/potion-multilingual-128M",
+    "minishlab/potion-retrieval-32M",
     "mistralai/Mistral-7B-Instruct-v0.2",
-    "castorini/monot5-3b-msmarco-10k",
-    "castorini/monot5-base-msmarco-10k",
-    "castorini/monot5-large-msmarco-10k",
-    "castorini/monot5-small-msmarco-10k",
-    "unicamp-dl/mt5-base-mmarco-v2",
-    "facebook/seamless-m4t-v2-large",
-    "Alibaba-NLP/gme-Qwen2-VL-2B-Instruct",
-    "Alibaba-NLP/gme-Qwen2-VL-7B-Instruct",
-    "fangxq/XYZ-embedding",
-    "rasgaard/m2v-dfm-large",
-    "bedrock/amazon-titan-embed-text-v1",
-    "bedrock/amazon-titan-embed-text-v2",
-    "bedrock/cohere-embed-english-v3",
-    "bedrock/cohere-embed-multilingual-v3",
-    "Cohere/Cohere-embed-english-v3.0",
-    "Cohere/Cohere-embed-english-light-v3.0",
-    "Cohere/Cohere-embed-multilingual-v3.0",
-    "Cohere/Cohere-embed-multilingual-light-v3.0",
-    "bisectgroup/BiCA-base",
-    "Qodo/Qodo-Embed-1-1.5B",
-    "Qodo/Qodo-Embed-1-7B",
-    "WhereIsAI/UAE-Large-V1",
-    "GeoGPT-Research-Project/GeoEmbedding",
-    "nanovdr/NanoVDR-S-Multi",
-    "infgrad/stella-base-zh-v3-1792d",
-    "NovaSearch/stella_en_1.5B_v5",
-    "NovaSearch/stella_en_400M_v5",
-    "dunzhang/stella-large-zh-v3-1792d",
-    "dunzhang/stella-mrl-large-zh-v3.5-1792d",
-    "iampanda/zpoint_large_embedding_zh",
-    "sensenova/piccolo-base-zh",
-    "sensenova/piccolo-large-zh-v2",
-    "facebook/SONAR",
-    "Qwen/Qwen2-Audio-7B",
-    "OpenSearch-AI/Ops-MoA-Conan-embedding-v1",
-    "OpenSearch-AI/Ops-MoA-Yuan-embedding-1.0",
-    "Querit/Querit",
-    "facebook/hubert-base-ls960",
-    "facebook/hubert-large-ls960-ft",
-    "ByteDance-Seed/Seed1.5-Embedding",
-    "baseline/Human",
-    "bflhc/Octen-Embedding-0.6B",
-    "bflhc/Octen-Embedding-4B",
-    "bflhc/Octen-Embedding-8B",
-    "VPLabs/SearchMap_Preview",
-    "ByteDance/ListConRanker",
-    "Linq-AI-Research/Linq-Embed-Mistral",
-    "infly/inf-retriever-v1",
-    "infly/inf-retriever-v1-1.5b",
-    "OrdalieTech/Solon-embeddings-mini-beta-1.1",
-    "BAAI/bge-visualized-base",
-    "BAAI/bge-visualized-m3",
-    "laion/CLIP-ViT-B-16-DataComp.XL-s13B-b90K",
-    "laion/CLIP-ViT-B-32-DataComp.XL-s13B-b90K",
-    "laion/CLIP-ViT-B-32-laion2B-s34B-b79K",
-    "laion/CLIP-ViT-H-14-laion2B-s32B-b79K",
-    "laion/CLIP-ViT-L-14-DataComp.XL-s13B-b90K",
-    "laion/CLIP-ViT-L-14-laion2B-s32B-b82K",
-    "laion/CLIP-ViT-bigG-14-laion2B-39B-b160k",
-    "laion/CLIP-ViT-g-14-laion2B-s34B-b88K",
-    "qihoo360/Zhinao-ChineseModernBert-Embedding",
+    "mixedbread-ai/mxbai-edge-colbert-v0-17m",
+    "mixedbread-ai/mxbai-edge-colbert-v0-32m",
+    "mixedbread-ai/mxbai-embed-2d-large-v1",
+    "mixedbread-ai/mxbai-embed-large-v1",
+    "mixedbread-ai/mxbai-embed-xsmall-v1",
+    "mixedbread-ai/mxbai-rerank-base-v1",
+    "mixedbread-ai/mxbai-rerank-large-v1",
+    "mixedbread-ai/mxbai-rerank-xsmall-v1",
+    "moka-ai/m3e-base",
+    "moka-ai/m3e-large",
+    "moka-ai/m3e-small",
+    "mteb/baseline-bb25",
+    "mteb/baseline-bm25s",
     "mteb/baseline-random-cross-encoder",
     "mteb/baseline-random-encoder",
+    "myrkur/sentence-transformer-parsbert-fa",
+    "nanovdr/NanoVDR-S-Multi",
+    "nicher92/saga-embed_v1",
+    "nomic-ai/colnomic-embed-multimodal-3b",
+    "nomic-ai/colnomic-embed-multimodal-7b",
+    "nomic-ai/modernbert-embed-base",
+    "nomic-ai/nomic-embed-code",
+    "nomic-ai/nomic-embed-multimodal-3b",
+    "nomic-ai/nomic-embed-multimodal-7b",
+    "nomic-ai/nomic-embed-text-v1",
+    "nomic-ai/nomic-embed-text-v1-ablated",
+    "nomic-ai/nomic-embed-text-v1-unsupervised",
+    "nomic-ai/nomic-embed-text-v1.5",
+    "nomic-ai/nomic-embed-text-v2-moe",
+    "nomic-ai/nomic-embed-vision-v1.5",
+    "nvidia/NV-Embed-v1",
+    "nvidia/NV-Embed-v2",
+    "nvidia/llama-embed-nemotron-8b",
     "nvidia/llama-nemoretriever-colembed-1b-v1",
     "nvidia/llama-nemoretriever-colembed-3b-v1",
     "nvidia/llama-nemotron-colembed-vl-3b-v2",
     "nvidia/llama-nemotron-embed-vl-1b-v2",
+    "nvidia/llama-nemotron-rerank-1b-v2",
     "nvidia/nemotron-colembed-vl-4b-v2",
     "nvidia/nemotron-colembed-vl-8b-v2",
-    "infgrad/Jasper-Token-Compression-600M",
-    "NovaSearch/jasper_en_vision_language_v1",
-    "KBLab/sentence-bert-swedish-cased",
-    "cl-nagoya/ruri-base",
-    "cl-nagoya/ruri-base-v2",
-    "cl-nagoya/ruri-large",
-    "cl-nagoya/ruri-large-v2",
-    "cl-nagoya/ruri-small",
-    "cl-nagoya/ruri-small-v2",
-    "cl-nagoya/ruri-v3-130m",
-    "cl-nagoya/ruri-v3-30m",
-    "cl-nagoya/ruri-v3-310m",
-    "cl-nagoya/ruri-v3-70m",
-    "Qwen/Qwen3-VL-Embedding-2B",
-    "Qwen/Qwen3-VL-Embedding-8B",
-    "Salesforce/blip2-opt-2.7b",
-    "Salesforce/blip2-opt-6.7b-coco",
-    "fyaronskiy/english_code_retriever",
-    "BMRetriever/BMRetriever-1B",
-    "BMRetriever/BMRetriever-2B",
-    "BMRetriever/BMRetriever-410M",
-    "BMRetriever/BMRetriever-7B",
-    "google/siglip-base-patch16-224",
-    "google/siglip-base-patch16-256",
-    "google/siglip-base-patch16-256-multilingual",
-    "google/siglip-base-patch16-384",
-    "google/siglip-base-patch16-512",
-    "google/siglip-large-patch16-256",
-    "google/siglip-large-patch16-384",
-    "google/siglip-so400m-patch14-224",
-    "google/siglip-so400m-patch14-384",
-    "google/siglip-so400m-patch16-256-i18n",
+    "nyu-visionx/moco-v3-vit-b",
+    "nyu-visionx/moco-v3-vit-l",
+    "omarelshehy/arabic-english-sts-matryoshka",
+    "openai/clip-vit-base-patch16",
+    "openai/clip-vit-base-patch32",
+    "openai/clip-vit-large-patch14",
+    "openai/text-embedding-3-large",
+    "openai/text-embedding-3-large (embed_dim=512)",
+    "openai/text-embedding-3-small",
+    "openai/text-embedding-3-small (embed_dim=512)",
+    "openai/text-embedding-ada-002",
+    "openai/whisper-base",
+    "openai/whisper-large-v3",
+    "openai/whisper-medium",
+    "openai/whisper-small",
+    "openai/whisper-tiny",
+    "openbmb/MiniCPM-Embedding",
+    "opensearch-project/opensearch-neural-sparse-encoding-doc-v1",
+    "opensearch-project/opensearch-neural-sparse-encoding-doc-v2-distill",
+    "opensearch-project/opensearch-neural-sparse-encoding-doc-v2-mini",
+    "opensearch-project/opensearch-neural-sparse-encoding-doc-v3-distill",
+    "opensearch-project/opensearch-neural-sparse-encoding-doc-v3-gte",
+    "panalexeu/xlm-roberta-ua-distilled",
+    "perplexity-ai/pplx-embed-v1-0.6b",
+    "perplexity-ai/pplx-embed-v1-4b",
+    "prdev/mini-gte",
+    "qihoo360/Zhinao-ChineseModernBert-Embedding",
+    "rasgaard/m2v-dfm-large",
+    "richinfoai/ritrieve_zh_v1",
+    "royokong/e5-v",
+    "samaya-ai/RepLLaMA-reproduced",
+    "samaya-ai/promptriever-llama2-7b-v1",
+    "samaya-ai/promptriever-llama3.1-8b-instruct-v1",
+    "samaya-ai/promptriever-llama3.1-8b-v1",
+    "samaya-ai/promptriever-mistral-v0.1-7b-v1",
+    "sbintuitions/sarashina-embedding-v1-1b",
+    "sbintuitions/sarashina-embedding-v2-1b",
+    "sbunlp/fabert",
+    "sdadas/mmlw-e5-base",
+    "sdadas/mmlw-e5-large",
+    "sdadas/mmlw-e5-small",
+    "sdadas/mmlw-roberta-base",
+    "sdadas/mmlw-roberta-large",
+    "sensenova/piccolo-base-zh",
+    "sensenova/piccolo-large-zh-v2",
+    "sentence-transformers/LaBSE",
     "sentence-transformers/all-MiniLM-L12-v2",
     "sentence-transformers/all-MiniLM-L6-v2",
     "sentence-transformers/all-mpnet-base-v2",
-    "facebook/contriever-msmarco",
     "sentence-transformers/gtr-t5-base",
     "sentence-transformers/gtr-t5-large",
     "sentence-transformers/gtr-t5-xl",
     "sentence-transformers/gtr-t5-xxl",
-    "sentence-transformers/LaBSE",
-    "keeeeenw/MicroLlama-text-embedding",
     "sentence-transformers/multi-qa-MiniLM-L6-cos-v1",
     "sentence-transformers/multi-qa-mpnet-base-dot-v1",
     "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2",
@@ -512,177 +588,66 @@ models = [
     "sentence-transformers/sentence-t5-xxl",
     "sentence-transformers/static-retrieval-mrl-en-v1",
     "sentence-transformers/static-similarity-mrl-multilingual-v1",
-    "llamaindex/vdr-2b-multi-v1",
-    "ICT-TIME-and-Querit/BOOM_4B_v1",
-    "royokong/e5-v",
-    "facebook/encodec_24khz",
-    "amazon/Titan-text-embeddings-v2",
-    "openai/text-embedding-3-large",
-    "openai/text-embedding-3-large (embed_dim=512)",
-    "openai/text-embedding-3-small",
-    "openai/text-embedding-3-small (embed_dim=512)",
-    "openai/text-embedding-ada-002",
-    "IEITYuan/Yuan-embedding-2.0-zh",
     "sergeyzh/BERTA",
-    "deepvk/deberta-v1-base",
-    "DeepPavlov/distilrubert-small-cased-conversational",
-    "ai-forever/FRIDA",
-    "ai-sage/Giga-Embeddings-instruct",
-    "cointegrated/LaBSE-en-ru",
     "sergeyzh/LaBSE-ru-turbo",
-    "ai-forever/ru-en-RoSBERTa",
-    "DeepPavlov/rubert-base-cased",
-    "DeepPavlov/rubert-base-cased-sentence",
     "sergeyzh/rubert-mini-frida",
-    "cointegrated/rubert-tiny",
-    "cointegrated/rubert-tiny2",
     "sergeyzh/rubert-tiny-turbo",
-    "ai-forever/sbert_large_mt_nlu_ru",
-    "ai-forever/sbert_large_nlu_ru",
-    "deepvk/USER2-base",
-    "deepvk/USER2-small",
-    "deepvk/USER-base",
-    "deepvk/USER-bge-m3",
-    "nvidia/NV-Embed-v1",
-    "nvidia/NV-Embed-v2",
-    "nvidia/llama-embed-nemotron-8b",
-    "nvidia/llama-nemotron-rerank-1b-v2",
-    "NbAiLab/nb-bert-base",
-    "NbAiLab/nb-bert-large",
-    "NbAiLab/nb-sbert-base",
-    "GritLM/GritLM-7B",
-    "GritLM/GritLM-8x7B",
+    "shibing624/text2vec-base-chinese",
+    "shibing624/text2vec-base-chinese-paraphrase",
+    "shibing624/text2vec-base-multilingual",
+    "silma-ai/silma-embeddding-matryoshka-v0.1",
+    "spartan8806/atles-champion-embedding",
+    "speechbrain/cnn14-esc50",
     "speechbrain/m-ctc-t-large",
-    "clips/e5-base-trm-nl",
-    "clips/e5-large-trm-nl",
-    "clips/e5-small-trm-nl",
-    "andersborges/model2vecdk",
-    "andersborges/model2vecdk-stem",
-    "MIT/ast-finetuned-audioset-10-10-0.4593",
-    "KFST/XLMRoberta-en-da-sv-nb",
-    "panalexeu/xlm-roberta-ua-distilled",
-    "nyu-visionx/moco-v3-vit-b",
-    "nyu-visionx/moco-v3-vit-l",
-    "Shuu12121/CodeSearch-ModernBERT-Crow-Plus",
-    "minishlab/M2V_base_glove",
-    "minishlab/M2V_base_glove_subword",
-    "minishlab/M2V_base_output",
-    "minishlab/M2V_multilingual_output",
-    "minishlab/potion-base-2M",
-    "minishlab/potion-base-32M",
-    "minishlab/potion-base-4M",
-    "minishlab/potion-base-8M",
-    "minishlab/potion-multilingual-128M",
-    "minishlab/potion-retrieval-32M",
-    "NeuML/pubmedbert-base-embeddings-100K",
-    "NeuML/pubmedbert-base-embeddings-1M",
-    "NeuML/pubmedbert-base-embeddings-2M",
-    "NeuML/pubmedbert-base-embeddings-500K",
-    "NeuML/pubmedbert-base-embeddings-8M",
-    "asapp/sew-d-base-plus-400k-ft-ls100h",
-    "asapp/sew-d-mid-400k-ft-ls100h",
-    "asapp/sew-d-tiny-100k-ft-ls100h",
+    "stephantulkens/NIFE-gte-modernbert-base_as_router",
+    "stephantulkens/NIFE-mxbai-embed-large-v1_as_router",
     "telepix/PIXIE-Rune-v1.0",
-    "VAGOsolutions/SauerkrautLM-ColLFM2-450M-v0.1",
-    "VAGOsolutions/SauerkrautLM-ColMinistral3-3b-v0.1",
-    "VAGOsolutions/SauerkrautLM-ColQwen3-1.7b-Turbo-v0.1",
-    "VAGOsolutions/SauerkrautLM-ColQwen3-2b-v0.1",
-    "VAGOsolutions/SauerkrautLM-ColQwen3-4b-v0.1",
-    "VAGOsolutions/SauerkrautLM-ColQwen3-8b-v0.1",
-    "ibm-granite/granite-embedding-107m-multilingual",
-    "ibm-granite/granite-embedding-125m-english",
-    "ibm-granite/granite-embedding-278m-multilingual",
-    "ibm-granite/granite-embedding-30m-english",
-    "ibm-granite/granite-embedding-english-r2",
-    "ibm-granite/granite-embedding-small-english-r2",
-    "geoffsee/auto-g-embed-st",
-    "nomic-ai/colnomic-embed-multimodal-3b",
-    "nomic-ai/colnomic-embed-multimodal-7b",
-    "vidore/colqwen2-v1.0",
-    "vidore/colqwen2.5-v0.2",
-    "TomoroAI/tomoro-colqwen3-embed-4b",
-    "athrael-soju/colqwen3.5-4.5B-v3",
-    "TomoroAI/tomoro-colqwen3-embed-8b",
-    "ApsaraStackMaaS/EvoQwen2.5-VL-Retriever-3B-v1",
-    "ApsaraStackMaaS/EvoQwen2.5-VL-Retriever-7B-v1",
-    "BeastyZ/e5-R-mistral-7b",
-    "intfloat/multilingual-e5-large-instruct",
-    "intfloat/e5-mistral-7b-instruct",
-    "zeta-alpha-ai/Zeta-Alpha-E5-Mistral",
-    "google/yamnet",
-    "codesage/codesage-base-v2",
-    "codesage/codesage-large-v2",
-    "codesage/codesage-small-v2",
-    "Tarka-AIR/Tarka-Embedding-150M-V1",
-    "Tarka-AIR/Tarka-Embedding-350M-V1",
-    "perplexity-ai/pplx-embed-v1-0.6b",
-    "perplexity-ai/pplx-embed-v1-4b",
-    "HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1",
-    "HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1.5",
-    "HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v2",
-    "HIT-TMG/KaLM-embedding-multilingual-mini-v1",
-    "KaLM-Embedding/KaLM-embedding-multilingual-mini-instruct-v2.5",
     "tencent/KaLM-Embedding-Gemma3-12B-2511",
-    "Qwen/Qwen3-Embedding-0.6B",
-    "Qwen/Qwen3-Embedding-4B",
-    "Qwen/Qwen3-Embedding-8B",
-    "annamodels/LGAI-Embedding-Preview",
-    "opensearch-project/opensearch-neural-sparse-encoding-doc-v1",
-    "opensearch-project/opensearch-neural-sparse-encoding-doc-v2-distill",
-    "opensearch-project/opensearch-neural-sparse-encoding-doc-v2-mini",
-    "opensearch-project/opensearch-neural-sparse-encoding-doc-v3-distill",
-    "opensearch-project/opensearch-neural-sparse-encoding-doc-v3-gte",
-    "AITeamVN/Vietnamese_Embedding",
-    "bkai-foundation-models/vietnamese-bi-encoder",
-    "contextboxai/halong_embedding",
-    "GreenNode/GreenNode-Embedding-E5-Large-VN-V1",
-    "GreenNode/GreenNode-Embedding-KaLM-Mini-Instruct-VN-V1",
-    "GreenNode/GreenNode-Embedding-Large-VN-Mixed-V1",
-    "GreenNode/GreenNode-Embedding-Large-VN-V1",
-    "VoVanPhuc/sup-SimCSE-VietNamese-phobert-base",
-    "mteb/baseline-bb25",
-    "openai/whisper-base",
-    "openai/whisper-large-v3",
-    "openai/whisper-medium",
-    "openai/whisper-small",
-    "openai/whisper-tiny",
-    "microsoft/speecht5_asr",
-    "microsoft/speecht5_multimodal",
-    "microsoft/speecht5_tts",
-    "Mira190/Euler-Legal-Embedding-V1",
-    "MCINext/Hakim",
-    "MCINext/Hakim-small",
-    "MCINext/Hakim-unsup",
-    "TIGER-Lab/VLM2Vec-Full",
-    "TIGER-Lab/VLM2Vec-LoRA",
-    "richinfoai/ritrieve_zh_v1",
+    "tencent/Youtu-Embedding",
+    "thenlper/gte-base",
+    "thenlper/gte-base-zh",
+    "thenlper/gte-large",
+    "thenlper/gte-large-zh",
+    "thenlper/gte-small",
+    "thenlper/gte-small-zh",
+    "unicamp-dl/mt5-base-mmarco-v2",
     "vidore/colSmol-256M",
     "vidore/colSmol-500M",
-    "facebook/mms-1b-all",
-    "facebook/mms-1b-fl102",
-    "facebook/mms-1b-l1107",
-    "facebook/data2vec-audio-base-960h",
-    "facebook/data2vec-audio-large-960h",
-    "ManiacLabs/miniac-embed",
-    "nomic-ai/nomic-embed-multimodal-3b",
-    "nomic-ai/nomic-embed-multimodal-7b",
-    "manveertamber/cadet-embed-base-v1",
-    "google/embeddinggemma-300m",
-    "google/gemini-embedding-001",
-    "google/text-embedding-004",
-    "google/text-embedding-005",
-    "google/text-multilingual-embedding-002",
-    "OpenMuQ/MuQ-MuLan-large",
-    "speechbrain/cnn14-esc50",
-    "McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised",
-    "McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse",
-    "McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised",
-    "McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse",
-    "McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised",
-    "McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse",
-    "McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-supervised",
-    "McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse",
-    "intfloat/mmE5-mllama-11b-instruct",
+    "vidore/colpali-v1.1",
+    "vidore/colpali-v1.2",
+    "vidore/colpali-v1.3",
+    "vidore/colqwen2-v1.0",
+    "vidore/colqwen2.5-v0.2",
+    "vitouphy/wav2vec2-xls-r-300m-phoneme",
+    "voyageai/voyage-2",
+    "voyageai/voyage-3",
+    "voyageai/voyage-3-large",
+    "voyageai/voyage-3-lite",
+    "voyageai/voyage-3-m-exp",
+    "voyageai/voyage-3.5",
+    "voyageai/voyage-3.5 (output_dtype=binary)",
+    "voyageai/voyage-3.5 (output_dtype=int8)",
+    "voyageai/voyage-4",
+    "voyageai/voyage-4-large",
+    "voyageai/voyage-4-large (embed_dim=2048)",
+    "voyageai/voyage-4-lite",
+    "voyageai/voyage-4-nano",
+    "voyageai/voyage-code-2",
+    "voyageai/voyage-code-3",
+    "voyageai/voyage-finance-2",
+    "voyageai/voyage-large-2",
+    "voyageai/voyage-large-2-instruct",
+    "voyageai/voyage-law-2",
+    "voyageai/voyage-multilingual-2",
+    "voyageai/voyage-multimodal-3",
+    "w601sxs/b1ade-embed",
+    "webAI-Official/webAI-ColVec1-4b",
+    "webAI-Official/webAI-ColVec1-9b",
+    "yibinlei/LENS-d4000",
+    "yibinlei/LENS-d8000",
+    "zeroentropy/zembed-1",
+    "zeroentropy/zerank-1",
+    "zeroentropy/zerank-1-small",
+    "zeroentropy/zerank-2",
+    "zeta-alpha-ai/Zeta-Alpha-E5-Mistral",
 ]
-
-# INSERT END