Alibaba-NLP/gte-modernbert-base

zetlyn/models-hf model hf Alibaba-NLP/gte-modernbert-base known 2025-01-20

https://huggingface.co/Alibaba-NLP/gte-modernbert-base

Properties

authorAlibaba-NLP
receipt
Source
Hugging Face models
Its words
Alibaba-NLP
Read by
field:author
Said since
2026-10-03 00:06 UTC
Last answered
2026-10-04 18:21 UTC
Original
open at the source
What the source handed over
{
  "_asked": "Alibaba-NLP/gte-modernbert-base",
  "_id": "678dbd141436301473128a40",
  "author": "Alibaba-NLP",
  "cardData": {
    "base_model": [
      "answerdotai/ModernBERT-base"
    ],
    "base_model_relation": "finetune",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "pipeline_tag": "sentence-similarity",
    "tags": [
      "sentence-transformers",
      "mteb",
      "embedding",
      "transformers.js",
      "text-embeddings-inference"
    ]
  },
  "config": {
    "architectures": [
      "ModernBertModel"
    ],
    "model_type": "modernbert",
    "tokenizer_config": {
      "cls_token": "[CLS]",
      "mask_token": "[MASK]",
      "pad_token": "[PAD]",
      "sep_token": "[SEP]",
      "unk_token": "[UNK]"
    }
  },
  "createdAt": "2025-01-20T03:03:48.000Z",
  "disabled": false,
  "downloads": 139515,
  "gated": false,
  "id": "Alibaba-NLP/gte-modernbert-base",
  "inference": "warm",
  "lastModified": "2025-07-04T10:03:26.000Z",
  "library_name": "transformers",
  "likes": 202,
  "mask_token": "[MASK]",
  "model-index": null,
  "modelId": "Alibaba-NLP/gte-modernbert-base",
  "pipeline_tag": "sentence-similarity",
  "private": false,
  "safetensors": {
    "parameters": {
      "F16": 149014272
    },
    "total": 149014272
  },
  "sha": "e7f32e3c00f91d699e8c43b53106206bcc72bb22",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "1_Pooling/config.json"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "config_sentence_transformers.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "modules.json"
    },
    {
      "rfilename": "onnx/model.onnx"
    },
    {
      "rfilename": "onnx/model_bnb4.onnx"
    },
    {
      "rfilename": "onnx/model_fp16.onnx"
    },
    {
      "rfilename": "onnx/model_int8.onnx"
    },
    {
      "rfilename": "onnx/model_q4.onnx"
    },
    {
      "rfilename": "onnx/model_q4f16.onnx"
    },
    {
      "rfilename": "onnx/model_quantized.onnx"
    },
    {
      "rfilename": "onnx/model_uint8.onnx"
    },
    {
      "rfilename": "pytorch_model.bin"
    },
    {
      "rfilename": "special_tokens_map.json"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    }
  ],
  "spaces": [
    "mteb/leaderboard",
    "tardellirs/model-pulse",
    "pesu-dev/askpesu",
    "pesu-dev-org/askpesu",
    "pesu-dev-org/askpesu-dev",
    "pesu-dev-org/askpesu-db",
    "owlgebra-ai/EcomRLVE-Gym",
    "maxpar1/leaderboard",
    "UnknownPixel/askPESU",
    "EchaRz/KnowledgeRetrievalProject",
    "aursalan/latch_candidates",
    "aursalan/latch_jobs",
    "CamQuest/codesearch",
    "kiedistv/leaderboard",
    "pesu-dev/askpesu-dev",
    "pesu-dev/askpesu-db",
    "qiaosong88/leaderboard",
    "ArtemBolgov/leaderboard",
    "Abhiram83/Capstone-RAG",
    "malyvena/leaderboard",
    "HuggingLLM/leaderboard",
    "wangsh0111/leaderboard",
    "kaotd/leaderboard",
    "johanf/static-contextual-embeddings",
    "yjoonjang/ReviewSearch"
  ],
  "tags": [
    "transformers",
    "pytorch",
    "onnx",
    "safetensors",
    "modernbert",
    "feature-extraction",
    "sentence-transformers",
    "mteb",
    "embedding",
    "transformers.js",
    "text-embeddings-inference",
    "sentence-similarity",
    "en",
    "arxiv:2308.03281",
    "base_model:answerdotai/ModernBERT-base",
    "base_model:finetune:answerdotai/ModernBERT-base",
    "license:apache-2.0",
    "endpoints_compatible",
    "deploy:azure",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModel",
    "pipeline_tag": "feature-extraction",
    "processor": "AutoTokenizer"
  },
  "usedStorage": 2522683325,
  "widgetData": [
    {
      "sentences": [
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
      ],
      "source_sentence": "That is a happy person"
    }
  ]
}
downloads139515
receipt
Source
Hugging Face models
Its words
139515
Read by
field:downloads
Said since
2026-10-04 12:16 UTC
Last answered
2026-10-04 18:21 UTC
Original
open at the source
2026-10-04 12:16 UTC139515
2026-10-03 12:09 UTC141717
2026-10-03 00:06 UTC143833
What the source handed over
{
  "_asked": "Alibaba-NLP/gte-modernbert-base",
  "_id": "678dbd141436301473128a40",
  "author": "Alibaba-NLP",
  "cardData": {
    "base_model": [
      "answerdotai/ModernBERT-base"
    ],
    "base_model_relation": "finetune",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "pipeline_tag": "sentence-similarity",
    "tags": [
      "sentence-transformers",
      "mteb",
      "embedding",
      "transformers.js",
      "text-embeddings-inference"
    ]
  },
  "config": {
    "architectures": [
      "ModernBertModel"
    ],
    "model_type": "modernbert",
    "tokenizer_config": {
      "cls_token": "[CLS]",
      "mask_token": "[MASK]",
      "pad_token": "[PAD]",
      "sep_token": "[SEP]",
      "unk_token": "[UNK]"
    }
  },
  "createdAt": "2025-01-20T03:03:48.000Z",
  "disabled": false,
  "downloads": 139515,
  "gated": false,
  "id": "Alibaba-NLP/gte-modernbert-base",
  "inference": "warm",
  "lastModified": "2025-07-04T10:03:26.000Z",
  "library_name": "transformers",
  "likes": 202,
  "mask_token": "[MASK]",
  "model-index": null,
  "modelId": "Alibaba-NLP/gte-modernbert-base",
  "pipeline_tag": "sentence-similarity",
  "private": false,
  "safetensors": {
    "parameters": {
      "F16": 149014272
    },
    "total": 149014272
  },
  "sha": "e7f32e3c00f91d699e8c43b53106206bcc72bb22",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "1_Pooling/config.json"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "config_sentence_transformers.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "modules.json"
    },
    {
      "rfilename": "onnx/model.onnx"
    },
    {
      "rfilename": "onnx/model_bnb4.onnx"
    },
    {
      "rfilename": "onnx/model_fp16.onnx"
    },
    {
      "rfilename": "onnx/model_int8.onnx"
    },
    {
      "rfilename": "onnx/model_q4.onnx"
    },
    {
      "rfilename": "onnx/model_q4f16.onnx"
    },
    {
      "rfilename": "onnx/model_quantized.onnx"
    },
    {
      "rfilename": "onnx/model_uint8.onnx"
    },
    {
      "rfilename": "pytorch_model.bin"
    },
    {
      "rfilename": "special_tokens_map.json"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    }
  ],
  "spaces": [
    "mteb/leaderboard",
    "tardellirs/model-pulse",
    "pesu-dev/askpesu",
    "pesu-dev-org/askpesu",
    "pesu-dev-org/askpesu-dev",
    "pesu-dev-org/askpesu-db",
    "owlgebra-ai/EcomRLVE-Gym",
    "maxpar1/leaderboard",
    "UnknownPixel/askPESU",
    "EchaRz/KnowledgeRetrievalProject",
    "aursalan/latch_candidates",
    "aursalan/latch_jobs",
    "CamQuest/codesearch",
    "kiedistv/leaderboard",
    "pesu-dev/askpesu-dev",
    "pesu-dev/askpesu-db",
    "qiaosong88/leaderboard",
    "ArtemBolgov/leaderboard",
    "Abhiram83/Capstone-RAG",
    "malyvena/leaderboard",
    "HuggingLLM/leaderboard",
    "wangsh0111/leaderboard",
    "kaotd/leaderboard",
    "johanf/static-contextual-embeddings",
    "yjoonjang/ReviewSearch"
  ],
  "tags": [
    "transformers",
    "pytorch",
    "onnx",
    "safetensors",
    "modernbert",
    "feature-extraction",
    "sentence-transformers",
    "mteb",
    "embedding",
    "transformers.js",
    "text-embeddings-inference",
    "sentence-similarity",
    "en",
    "arxiv:2308.03281",
    "base_model:answerdotai/ModernBERT-base",
    "base_model:finetune:answerdotai/ModernBERT-base",
    "license:apache-2.0",
    "endpoints_compatible",
    "deploy:azure",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModel",
    "pipeline_tag": "feature-extraction",
    "processor": "AutoTokenizer"
  },
  "usedStorage": 2522683325,
  "widgetData": [
    {
      "sentences": [
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
      ],
      "source_sentence": "That is a happy person"
    }
  ]
}
gatedfalse
receipt
Source
Hugging Face models
Its words
false
Read by
field:gated
Said since
2026-10-03 00:06 UTC
Last answered
2026-10-04 18:21 UTC
Original
open at the source
What the source handed over
{
  "_asked": "Alibaba-NLP/gte-modernbert-base",
  "_id": "678dbd141436301473128a40",
  "author": "Alibaba-NLP",
  "cardData": {
    "base_model": [
      "answerdotai/ModernBERT-base"
    ],
    "base_model_relation": "finetune",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "pipeline_tag": "sentence-similarity",
    "tags": [
      "sentence-transformers",
      "mteb",
      "embedding",
      "transformers.js",
      "text-embeddings-inference"
    ]
  },
  "config": {
    "architectures": [
      "ModernBertModel"
    ],
    "model_type": "modernbert",
    "tokenizer_config": {
      "cls_token": "[CLS]",
      "mask_token": "[MASK]",
      "pad_token": "[PAD]",
      "sep_token": "[SEP]",
      "unk_token": "[UNK]"
    }
  },
  "createdAt": "2025-01-20T03:03:48.000Z",
  "disabled": false,
  "downloads": 139515,
  "gated": false,
  "id": "Alibaba-NLP/gte-modernbert-base",
  "inference": "warm",
  "lastModified": "2025-07-04T10:03:26.000Z",
  "library_name": "transformers",
  "likes": 202,
  "mask_token": "[MASK]",
  "model-index": null,
  "modelId": "Alibaba-NLP/gte-modernbert-base",
  "pipeline_tag": "sentence-similarity",
  "private": false,
  "safetensors": {
    "parameters": {
      "F16": 149014272
    },
    "total": 149014272
  },
  "sha": "e7f32e3c00f91d699e8c43b53106206bcc72bb22",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "1_Pooling/config.json"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "config_sentence_transformers.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "modules.json"
    },
    {
      "rfilename": "onnx/model.onnx"
    },
    {
      "rfilename": "onnx/model_bnb4.onnx"
    },
    {
      "rfilename": "onnx/model_fp16.onnx"
    },
    {
      "rfilename": "onnx/model_int8.onnx"
    },
    {
      "rfilename": "onnx/model_q4.onnx"
    },
    {
      "rfilename": "onnx/model_q4f16.onnx"
    },
    {
      "rfilename": "onnx/model_quantized.onnx"
    },
    {
      "rfilename": "onnx/model_uint8.onnx"
    },
    {
      "rfilename": "pytorch_model.bin"
    },
    {
      "rfilename": "special_tokens_map.json"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    }
  ],
  "spaces": [
    "mteb/leaderboard",
    "tardellirs/model-pulse",
    "pesu-dev/askpesu",
    "pesu-dev-org/askpesu",
    "pesu-dev-org/askpesu-dev",
    "pesu-dev-org/askpesu-db",
    "owlgebra-ai/EcomRLVE-Gym",
    "maxpar1/leaderboard",
    "UnknownPixel/askPESU",
    "EchaRz/KnowledgeRetrievalProject",
    "aursalan/latch_candidates",
    "aursalan/latch_jobs",
    "CamQuest/codesearch",
    "kiedistv/leaderboard",
    "pesu-dev/askpesu-dev",
    "pesu-dev/askpesu-db",
    "qiaosong88/leaderboard",
    "ArtemBolgov/leaderboard",
    "Abhiram83/Capstone-RAG",
    "malyvena/leaderboard",
    "HuggingLLM/leaderboard",
    "wangsh0111/leaderboard",
    "kaotd/leaderboard",
    "johanf/static-contextual-embeddings",
    "yjoonjang/ReviewSearch"
  ],
  "tags": [
    "transformers",
    "pytorch",
    "onnx",
    "safetensors",
    "modernbert",
    "feature-extraction",
    "sentence-transformers",
    "mteb",
    "embedding",
    "transformers.js",
    "text-embeddings-inference",
    "sentence-similarity",
    "en",
    "arxiv:2308.03281",
    "base_model:answerdotai/ModernBERT-base",
    "base_model:finetune:answerdotai/ModernBERT-base",
    "license:apache-2.0",
    "endpoints_compatible",
    "deploy:azure",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModel",
    "pipeline_tag": "feature-extraction",
    "processor": "AutoTokenizer"
  },
  "usedStorage": 2522683325,
  "widgetData": [
    {
      "sentences": [
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
      ],
      "source_sentence": "That is a happy person"
    }
  ]
}
licenceapache-2.0
receipt
Source
Hugging Face models
Its words
apache-2.0
Read by
field:cardData.license
Said since
2026-10-03 00:06 UTC
Last answered
2026-10-04 18:21 UTC
Original
open at the source
What the source handed over
{
  "_asked": "Alibaba-NLP/gte-modernbert-base",
  "_id": "678dbd141436301473128a40",
  "author": "Alibaba-NLP",
  "cardData": {
    "base_model": [
      "answerdotai/ModernBERT-base"
    ],
    "base_model_relation": "finetune",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "pipeline_tag": "sentence-similarity",
    "tags": [
      "sentence-transformers",
      "mteb",
      "embedding",
      "transformers.js",
      "text-embeddings-inference"
    ]
  },
  "config": {
    "architectures": [
      "ModernBertModel"
    ],
    "model_type": "modernbert",
    "tokenizer_config": {
      "cls_token": "[CLS]",
      "mask_token": "[MASK]",
      "pad_token": "[PAD]",
      "sep_token": "[SEP]",
      "unk_token": "[UNK]"
    }
  },
  "createdAt": "2025-01-20T03:03:48.000Z",
  "disabled": false,
  "downloads": 139515,
  "gated": false,
  "id": "Alibaba-NLP/gte-modernbert-base",
  "inference": "warm",
  "lastModified": "2025-07-04T10:03:26.000Z",
  "library_name": "transformers",
  "likes": 202,
  "mask_token": "[MASK]",
  "model-index": null,
  "modelId": "Alibaba-NLP/gte-modernbert-base",
  "pipeline_tag": "sentence-similarity",
  "private": false,
  "safetensors": {
    "parameters": {
      "F16": 149014272
    },
    "total": 149014272
  },
  "sha": "e7f32e3c00f91d699e8c43b53106206bcc72bb22",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "1_Pooling/config.json"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "config_sentence_transformers.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "modules.json"
    },
    {
      "rfilename": "onnx/model.onnx"
    },
    {
      "rfilename": "onnx/model_bnb4.onnx"
    },
    {
      "rfilename": "onnx/model_fp16.onnx"
    },
    {
      "rfilename": "onnx/model_int8.onnx"
    },
    {
      "rfilename": "onnx/model_q4.onnx"
    },
    {
      "rfilename": "onnx/model_q4f16.onnx"
    },
    {
      "rfilename": "onnx/model_quantized.onnx"
    },
    {
      "rfilename": "onnx/model_uint8.onnx"
    },
    {
      "rfilename": "pytorch_model.bin"
    },
    {
      "rfilename": "special_tokens_map.json"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    }
  ],
  "spaces": [
    "mteb/leaderboard",
    "tardellirs/model-pulse",
    "pesu-dev/askpesu",
    "pesu-dev-org/askpesu",
    "pesu-dev-org/askpesu-dev",
    "pesu-dev-org/askpesu-db",
    "owlgebra-ai/EcomRLVE-Gym",
    "maxpar1/leaderboard",
    "UnknownPixel/askPESU",
    "EchaRz/KnowledgeRetrievalProject",
    "aursalan/latch_candidates",
    "aursalan/latch_jobs",
    "CamQuest/codesearch",
    "kiedistv/leaderboard",
    "pesu-dev/askpesu-dev",
    "pesu-dev/askpesu-db",
    "qiaosong88/leaderboard",
    "ArtemBolgov/leaderboard",
    "Abhiram83/Capstone-RAG",
    "malyvena/leaderboard",
    "HuggingLLM/leaderboard",
    "wangsh0111/leaderboard",
    "kaotd/leaderboard",
    "johanf/static-contextual-embeddings",
    "yjoonjang/ReviewSearch"
  ],
  "tags": [
    "transformers",
    "pytorch",
    "onnx",
    "safetensors",
    "modernbert",
    "feature-extraction",
    "sentence-transformers",
    "mteb",
    "embedding",
    "transformers.js",
    "text-embeddings-inference",
    "sentence-similarity",
    "en",
    "arxiv:2308.03281",
    "base_model:answerdotai/ModernBERT-base",
    "base_model:finetune:answerdotai/ModernBERT-base",
    "license:apache-2.0",
    "endpoints_compatible",
    "deploy:azure",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModel",
    "pipeline_tag": "feature-extraction",
    "processor": "AutoTokenizer"
  },
  "usedStorage": 2522683325,
  "widgetData": [
    {
      "sentences": [
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
      ],
      "source_sentence": "That is a happy person"
    }
  ]
}
likes202
receipt
Source
Hugging Face models
Its words
202
Read by
field:likes
Said since
2026-10-03 18:10 UTC
Last answered
2026-10-04 18:21 UTC
Original
open at the source
2026-10-03 18:10 UTC202
2026-10-03 00:06 UTC201
What the source handed over
{
  "_asked": "Alibaba-NLP/gte-modernbert-base",
  "_id": "678dbd141436301473128a40",
  "author": "Alibaba-NLP",
  "cardData": {
    "base_model": [
      "answerdotai/ModernBERT-base"
    ],
    "base_model_relation": "finetune",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "pipeline_tag": "sentence-similarity",
    "tags": [
      "sentence-transformers",
      "mteb",
      "embedding",
      "transformers.js",
      "text-embeddings-inference"
    ]
  },
  "config": {
    "architectures": [
      "ModernBertModel"
    ],
    "model_type": "modernbert",
    "tokenizer_config": {
      "cls_token": "[CLS]",
      "mask_token": "[MASK]",
      "pad_token": "[PAD]",
      "sep_token": "[SEP]",
      "unk_token": "[UNK]"
    }
  },
  "createdAt": "2025-01-20T03:03:48.000Z",
  "disabled": false,
  "downloads": 139515,
  "gated": false,
  "id": "Alibaba-NLP/gte-modernbert-base",
  "inference": "warm",
  "lastModified": "2025-07-04T10:03:26.000Z",
  "library_name": "transformers",
  "likes": 202,
  "mask_token": "[MASK]",
  "model-index": null,
  "modelId": "Alibaba-NLP/gte-modernbert-base",
  "pipeline_tag": "sentence-similarity",
  "private": false,
  "safetensors": {
    "parameters": {
      "F16": 149014272
    },
    "total": 149014272
  },
  "sha": "e7f32e3c00f91d699e8c43b53106206bcc72bb22",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "1_Pooling/config.json"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "config_sentence_transformers.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "modules.json"
    },
    {
      "rfilename": "onnx/model.onnx"
    },
    {
      "rfilename": "onnx/model_bnb4.onnx"
    },
    {
      "rfilename": "onnx/model_fp16.onnx"
    },
    {
      "rfilename": "onnx/model_int8.onnx"
    },
    {
      "rfilename": "onnx/model_q4.onnx"
    },
    {
      "rfilename": "onnx/model_q4f16.onnx"
    },
    {
      "rfilename": "onnx/model_quantized.onnx"
    },
    {
      "rfilename": "onnx/model_uint8.onnx"
    },
    {
      "rfilename": "pytorch_model.bin"
    },
    {
      "rfilename": "special_tokens_map.json"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    }
  ],
  "spaces": [
    "mteb/leaderboard",
    "tardellirs/model-pulse",
    "pesu-dev/askpesu",
    "pesu-dev-org/askpesu",
    "pesu-dev-org/askpesu-dev",
    "pesu-dev-org/askpesu-db",
    "owlgebra-ai/EcomRLVE-Gym",
    "maxpar1/leaderboard",
    "UnknownPixel/askPESU",
    "EchaRz/KnowledgeRetrievalProject",
    "aursalan/latch_candidates",
    "aursalan/latch_jobs",
    "CamQuest/codesearch",
    "kiedistv/leaderboard",
    "pesu-dev/askpesu-dev",
    "pesu-dev/askpesu-db",
    "qiaosong88/leaderboard",
    "ArtemBolgov/leaderboard",
    "Abhiram83/Capstone-RAG",
    "malyvena/leaderboard",
    "HuggingLLM/leaderboard",
    "wangsh0111/leaderboard",
    "kaotd/leaderboard",
    "johanf/static-contextual-embeddings",
    "yjoonjang/ReviewSearch"
  ],
  "tags": [
    "transformers",
    "pytorch",
    "onnx",
    "safetensors",
    "modernbert",
    "feature-extraction",
    "sentence-transformers",
    "mteb",
    "embedding",
    "transformers.js",
    "text-embeddings-inference",
    "sentence-similarity",
    "en",
    "arxiv:2308.03281",
    "base_model:answerdotai/ModernBERT-base",
    "base_model:finetune:answerdotai/ModernBERT-base",
    "license:apache-2.0",
    "endpoints_compatible",
    "deploy:azure",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModel",
    "pipeline_tag": "feature-extraction",
    "processor": "AutoTokenizer"
  },
  "usedStorage": 2522683325,
  "widgetData": [
    {
      "sentences": [
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
      ],
      "source_sentence": "That is a happy person"
    }
  ]
}
tasksentence-similarity
receipt
Source
Hugging Face models
Its words
sentence-similarity
Read by
field:pipeline_tag
Said since
2026-10-03 00:06 UTC
Last answered
2026-10-04 18:21 UTC
Original
open at the source
What the source handed over
{
  "_asked": "Alibaba-NLP/gte-modernbert-base",
  "_id": "678dbd141436301473128a40",
  "author": "Alibaba-NLP",
  "cardData": {
    "base_model": [
      "answerdotai/ModernBERT-base"
    ],
    "base_model_relation": "finetune",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "pipeline_tag": "sentence-similarity",
    "tags": [
      "sentence-transformers",
      "mteb",
      "embedding",
      "transformers.js",
      "text-embeddings-inference"
    ]
  },
  "config": {
    "architectures": [
      "ModernBertModel"
    ],
    "model_type": "modernbert",
    "tokenizer_config": {
      "cls_token": "[CLS]",
      "mask_token": "[MASK]",
      "pad_token": "[PAD]",
      "sep_token": "[SEP]",
      "unk_token": "[UNK]"
    }
  },
  "createdAt": "2025-01-20T03:03:48.000Z",
  "disabled": false,
  "downloads": 139515,
  "gated": false,
  "id": "Alibaba-NLP/gte-modernbert-base",
  "inference": "warm",
  "lastModified": "2025-07-04T10:03:26.000Z",
  "library_name": "transformers",
  "likes": 202,
  "mask_token": "[MASK]",
  "model-index": null,
  "modelId": "Alibaba-NLP/gte-modernbert-base",
  "pipeline_tag": "sentence-similarity",
  "private": false,
  "safetensors": {
    "parameters": {
      "F16": 149014272
    },
    "total": 149014272
  },
  "sha": "e7f32e3c00f91d699e8c43b53106206bcc72bb22",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "1_Pooling/config.json"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "config_sentence_transformers.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "modules.json"
    },
    {
      "rfilename": "onnx/model.onnx"
    },
    {
      "rfilename": "onnx/model_bnb4.onnx"
    },
    {
      "rfilename": "onnx/model_fp16.onnx"
    },
    {
      "rfilename": "onnx/model_int8.onnx"
    },
    {
      "rfilename": "onnx/model_q4.onnx"
    },
    {
      "rfilename": "onnx/model_q4f16.onnx"
    },
    {
      "rfilename": "onnx/model_quantized.onnx"
    },
    {
      "rfilename": "onnx/model_uint8.onnx"
    },
    {
      "rfilename": "pytorch_model.bin"
    },
    {
      "rfilename": "special_tokens_map.json"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    }
  ],
  "spaces": [
    "mteb/leaderboard",
    "tardellirs/model-pulse",
    "pesu-dev/askpesu",
    "pesu-dev-org/askpesu",
    "pesu-dev-org/askpesu-dev",
    "pesu-dev-org/askpesu-db",
    "owlgebra-ai/EcomRLVE-Gym",
    "maxpar1/leaderboard",
    "UnknownPixel/askPESU",
    "EchaRz/KnowledgeRetrievalProject",
    "aursalan/latch_candidates",
    "aursalan/latch_jobs",
    "CamQuest/codesearch",
    "kiedistv/leaderboard",
    "pesu-dev/askpesu-dev",
    "pesu-dev/askpesu-db",
    "qiaosong88/leaderboard",
    "ArtemBolgov/leaderboard",
    "Abhiram83/Capstone-RAG",
    "malyvena/leaderboard",
    "HuggingLLM/leaderboard",
    "wangsh0111/leaderboard",
    "kaotd/leaderboard",
    "johanf/static-contextual-embeddings",
    "yjoonjang/ReviewSearch"
  ],
  "tags": [
    "transformers",
    "pytorch",
    "onnx",
    "safetensors",
    "modernbert",
    "feature-extraction",
    "sentence-transformers",
    "mteb",
    "embedding",
    "transformers.js",
    "text-embeddings-inference",
    "sentence-similarity",
    "en",
    "arxiv:2308.03281",
    "base_model:answerdotai/ModernBERT-base",
    "base_model:finetune:answerdotai/ModernBERT-base",
    "license:apache-2.0",
    "endpoints_compatible",
    "deploy:azure",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModel",
    "pipeline_tag": "feature-extraction",
    "processor": "AutoTokenizer"
  },
  "usedStorage": 2522683325,
  "widgetData": [
    {
      "sentences": [
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
      ],
      "source_sentence": "That is a happy person"
    }
  ]
}

Text

This source's terms allow its title, its values and a link here, not its text. It is at https://huggingface.co/Alibaba-NLP/gte-modernbert-base.