Zetlyn

andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir

hf andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir 2 sources, 3 claims · Watch

What each source says

PropertySourceSaidMeans here
Author
author
GGUF quantisationsandreasmartin
receipt
Source
GGUF quantisations
Its words
andreasmartin
Read by
field:author
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-02 12:01 UTC
Original
open at the source
What the source handed over
{
  "_id": "6a9bd3a9f92383d6458c8318",
  "author": "andreasmartin",
  "cardData": {
    "base_model": "andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir",
    "library_name": "gguf",
    "license": "apache-2.0",
    "pipeline_tag": "feature-extraction",
    "tags": [
      "embeddings",
      "sentence-transformers",
      "gguf",
      "apertus",
      "multilingual",
      "ollama"
    ]
  },
  "createdAt": "2026-09-05T08:32:41.000Z",
  "downloads": 113,
  "gated": false,
  "id": "andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir-GGUF",
  "lastModified": "2026-09-05T08:32:56.000Z",
  "library_name": "gguf",
  "likes": 0,
  "modelId": "andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir-GGUF",
  "pipeline_tag": "feature-extraction",
  "private": false,
  "sha": "3a79ef2f40cb41d64395b46cb7d17cc53b29384b",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "apertus-v1.1-swiss-embed-0.4b-bidir-Q8_0.gguf"
    },
    {
      "rfilename": "dense-postprocess.json"
    },
    {
      "rfilename": "dense_2.weight.f32.bin"
    },
    {
      "rfilename": "dense_2.weight.npy"
    }
  ],
  "tags": [
    "gguf",
    "embeddings",
    "sentence-transformers",
    "apertus",
    "multilingual",
    "ollama",
    "feature-extraction",
    "base_model:andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir",
    "base_model:quantized:andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ]
}
—
Author
author
Hugging Face modelsandreasmartin
receipt
Source
Hugging Face models
Last answered
2026-10-02 12:06 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Base
base
GGUF quantisationsandreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir
receipt
Source
GGUF quantisations
Its words
andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir
Read by
field:cardData.base_model[]
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-02 12:01 UTC
Original
open at the source
What the source handed over
{
  "_id": "6a9bd3a9f92383d6458c8318",
  "author": "andreasmartin",
  "cardData": {
    "base_model": "andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir",
    "library_name": "gguf",
    "license": "apache-2.0",
    "pipeline_tag": "feature-extraction",
    "tags": [
      "embeddings",
      "sentence-transformers",
      "gguf",
      "apertus",
      "multilingual",
      "ollama"
    ]
  },
  "createdAt": "2026-09-05T08:32:41.000Z",
  "downloads": 113,
  "gated": false,
  "id": "andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir-GGUF",
  "lastModified": "2026-09-05T08:32:56.000Z",
  "library_name": "gguf",
  "likes": 0,
  "modelId": "andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir-GGUF",
  "pipeline_tag": "feature-extraction",
  "private": false,
  "sha": "3a79ef2f40cb41d64395b46cb7d17cc53b29384b",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "apertus-v1.1-swiss-embed-0.4b-bidir-Q8_0.gguf"
    },
    {
      "rfilename": "dense-postprocess.json"
    },
    {
      "rfilename": "dense_2.weight.f32.bin"
    },
    {
      "rfilename": "dense_2.weight.npy"
    }
  ],
  "tags": [
    "gguf",
    "embeddings",
    "sentence-transformers",
    "apertus",
    "multilingual",
    "ollama",
    "feature-extraction",
    "base_model:andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir",
    "base_model:quantized:andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ]
}
—
Downloads
downloads
not compared		GGUF quantisations113
receipt
Source
GGUF quantisations
Its words
113
Read by
field:downloads
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-02 12:01 UTC
Original
open at the source
What the source handed over
{
  "_id": "6a9bd3a9f92383d6458c8318",
  "author": "andreasmartin",
  "cardData": {
    "base_model": "andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir",
    "library_name": "gguf",
    "license": "apache-2.0",
    "pipeline_tag": "feature-extraction",
    "tags": [
      "embeddings",
      "sentence-transformers",
      "gguf",
      "apertus",
      "multilingual",
      "ollama"
    ]
  },
  "createdAt": "2026-09-05T08:32:41.000Z",
  "downloads": 113,
  "gated": false,
  "id": "andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir-GGUF",
  "lastModified": "2026-09-05T08:32:56.000Z",
  "library_name": "gguf",
  "likes": 0,
  "modelId": "andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir-GGUF",
  "pipeline_tag": "feature-extraction",
  "private": false,
  "sha": "3a79ef2f40cb41d64395b46cb7d17cc53b29384b",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "apertus-v1.1-swiss-embed-0.4b-bidir-Q8_0.gguf"
    },
    {
      "rfilename": "dense-postprocess.json"
    },
    {
      "rfilename": "dense_2.weight.f32.bin"
    },
    {
      "rfilename": "dense_2.weight.npy"
    }
  ],
  "tags": [
    "gguf",
    "embeddings",
    "sentence-transformers",
    "apertus",
    "multilingual",
    "ollama",
    "feature-extraction",
    "base_model:andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir",
    "base_model:quantized:andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ]
}
—
Downloads
downloads
not compared		Hugging Face models228
receipt
Source
Hugging Face models
Its words
228
Read by
field:downloads
Said since
2026-10-02 12:02 UTC
Last answered
2026-10-02 12:06 UTC
Original
open at the source
What the source handed over
{
  "_asked": "andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir",
  "_id": "6a86060492fd6a88037100ae",
  "author": "andreasmartin",
  "cardData": {
    "base_model": "swiss-ai/Apertus-v1.1-0.5B",
    "datasets": [
      "wikimedia/wikipedia",
      "eljuanina/VotingBooklets-v1",
      "ZurichNLP/SwissGov-RSD"
    ],
    "language": [
      "de",
      "en",
      "fr",
      "it",
      "rm",
      "gsw"
    ],
    "library_name": "sentence-transformers",
    "license": "apache-2.0",
    "pipeline_tag": "sentence-similarity",
    "tags": [
      "sentence-transformers",
      "embeddings",
      "retrieval",
      "multilingual",
      "swiss",
      "apertus",
      "apertus-1.1",
      "bidirectional",
      "matryoshka"
    ]
  },
  "config": {
    "architectures": [
      "ApertusModel"
    ],
    "model_type": "apertus",
    "tokenizer_config": {
      "bos_token": "<s>",
      "eos_token": "</s>",
      "pad_token": "[INST]",
      "unk_token": "<unk>"
    }
  },
  "createdAt": "2026-08-19T19:37:40.000Z",
  "disabled": false,
  "downloads": 228,
  "gated": false,
  "id": "andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir",
  "lastModified": "2026-08-21T20:25:58.000Z",
  "library_name": "sentence-transformers",
  "likes": 1,
  "model-index": null,
  "modelId": "andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir",
  "pipeline_tag": "sentence-similarity",
  "private": false,
  "safetensors": {
    "parameters": {
      "F16": 438349352
    },
    "total": 438349352
  },
  "sha": "875c1f99d7b20e261ea43b3586fdde5f8d5648e5",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "1_Pooling/config.json"
    },
    {
      "rfilename": "2_Dense/config.json"
    },
    {
      "rfilename": "2_Dense/model.safetensors"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "config_sentence_transformers.json"
    },
    {
      "rfilename": "data_manifest.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "modules.json"
    },
    {
      "rfilename": "sentence_bert_config.json"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    }
  ],
  "spaces": [],
  "tags": [
    "sentence-transformers",
    "safetensors",
    "apertus",
    "embeddings",
    "retrieval",
    "multilingual",
    "swiss",
    "apertus-1.1",
    "bidirectional",
    "matryoshka",
    "sentence-similarity",
    "de",
    "en",
    "fr",
    "it",
    "rm",
    "gsw",
    "dataset:wikimedia/wikipedia",
    "dataset:eljuanina/VotingBooklets-v1",
    "dataset:ZurichNLP/SwissGov-RSD",
    "base_model:swiss-ai/Apertus-v1.1-0.5B",
    "base_model:finetune:swiss-ai/Apertus-v1.1-0.5B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ],
  "usedStorage": 2653553008,
  "widgetData": [
    {
      "sentences": [
        "Das ist ein glücklicher Hund",
        "Das ist eine sehr glückliche Person",
        "Heute ist ein sonniger Tag"
      ],
      "source_sentence": "Das ist eine glückliche Person"
    }
  ]
}
—
Downloads
downloads
not compared		93
receipt
Source
Hugging Face models
Last answered
2026-10-02 12:06 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Gated
gated
Hugging Face modelsfalse
receipt
Source
Hugging Face models
Last answered
2026-10-02 12:06 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Licence
licence
GGUF quantisationsapache-2.0
receipt
Source
GGUF quantisations
Its words
apache-2.0
Read by
field:cardData.license
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-02 12:01 UTC
Original
open at the source
What the source handed over
{
  "_id": "6a9bd3a9f92383d6458c8318",
  "author": "andreasmartin",
  "cardData": {
    "base_model": "andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir",
    "library_name": "gguf",
    "license": "apache-2.0",
    "pipeline_tag": "feature-extraction",
    "tags": [
      "embeddings",
      "sentence-transformers",
      "gguf",
      "apertus",
      "multilingual",
      "ollama"
    ]
  },
  "createdAt": "2026-09-05T08:32:41.000Z",
  "downloads": 113,
  "gated": false,
  "id": "andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir-GGUF",
  "lastModified": "2026-09-05T08:32:56.000Z",
  "library_name": "gguf",
  "likes": 0,
  "modelId": "andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir-GGUF",
  "pipeline_tag": "feature-extraction",
  "private": false,
  "sha": "3a79ef2f40cb41d64395b46cb7d17cc53b29384b",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "apertus-v1.1-swiss-embed-0.4b-bidir-Q8_0.gguf"
    },
    {
      "rfilename": "dense-postprocess.json"
    },
    {
      "rfilename": "dense_2.weight.f32.bin"
    },
    {
      "rfilename": "dense_2.weight.npy"
    }
  ],
  "tags": [
    "gguf",
    "embeddings",
    "sentence-transformers",
    "apertus",
    "multilingual",
    "ollama",
    "feature-extraction",
    "base_model:andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir",
    "base_model:quantized:andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ]
}
—
Licence
licence
Hugging Face modelsapache-2.0
receipt
Source
Hugging Face models
Last answered
2026-10-02 12:06 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Likes
likes
not compared		GGUF quantisations0
receipt
Source
GGUF quantisations
Its words
0
Read by
field:likes
Said since
2026-09-29 09:50 UTC
Last answered
2026-10-02 12:01 UTC
Original
open at the source
What the source handed over
{
  "_id": "6a9bd3a9f92383d6458c8318",
  "author": "andreasmartin",
  "cardData": {
    "base_model": "andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir",
    "library_name": "gguf",
    "license": "apache-2.0",
    "pipeline_tag": "feature-extraction",
    "tags": [
      "embeddings",
      "sentence-transformers",
      "gguf",
      "apertus",
      "multilingual",
      "ollama"
    ]
  },
  "createdAt": "2026-09-05T08:32:41.000Z",
  "downloads": 113,
  "gated": false,
  "id": "andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir-GGUF",
  "lastModified": "2026-09-05T08:32:56.000Z",
  "library_name": "gguf",
  "likes": 0,
  "modelId": "andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir-GGUF",
  "pipeline_tag": "feature-extraction",
  "private": false,
  "sha": "3a79ef2f40cb41d64395b46cb7d17cc53b29384b",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "apertus-v1.1-swiss-embed-0.4b-bidir-Q8_0.gguf"
    },
    {
      "rfilename": "dense-postprocess.json"
    },
    {
      "rfilename": "dense_2.weight.f32.bin"
    },
    {
      "rfilename": "dense_2.weight.npy"
    }
  ],
  "tags": [
    "gguf",
    "embeddings",
    "sentence-transformers",
    "apertus",
    "multilingual",
    "ollama",
    "feature-extraction",
    "base_model:andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir",
    "base_model:quantized:andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ]
}
—
Likes
likes
not compared		Hugging Face models0
receipt
Source
Hugging Face models
Last answered
2026-10-02 12:06 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—
Likes
likes
not compared		1
receipt
Source
Hugging Face models
Its words
1
Read by
field:likes
Said since
2026-10-02 12:02 UTC
Last answered
2026-10-02 12:06 UTC
Original
open at the source
What the source handed over
{
  "_asked": "andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir",
  "_id": "6a86060492fd6a88037100ae",
  "author": "andreasmartin",
  "cardData": {
    "base_model": "swiss-ai/Apertus-v1.1-0.5B",
    "datasets": [
      "wikimedia/wikipedia",
      "eljuanina/VotingBooklets-v1",
      "ZurichNLP/SwissGov-RSD"
    ],
    "language": [
      "de",
      "en",
      "fr",
      "it",
      "rm",
      "gsw"
    ],
    "library_name": "sentence-transformers",
    "license": "apache-2.0",
    "pipeline_tag": "sentence-similarity",
    "tags": [
      "sentence-transformers",
      "embeddings",
      "retrieval",
      "multilingual",
      "swiss",
      "apertus",
      "apertus-1.1",
      "bidirectional",
      "matryoshka"
    ]
  },
  "config": {
    "architectures": [
      "ApertusModel"
    ],
    "model_type": "apertus",
    "tokenizer_config": {
      "bos_token": "<s>",
      "eos_token": "</s>",
      "pad_token": "[INST]",
      "unk_token": "<unk>"
    }
  },
  "createdAt": "2026-08-19T19:37:40.000Z",
  "disabled": false,
  "downloads": 228,
  "gated": false,
  "id": "andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir",
  "lastModified": "2026-08-21T20:25:58.000Z",
  "library_name": "sentence-transformers",
  "likes": 1,
  "model-index": null,
  "modelId": "andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir",
  "pipeline_tag": "sentence-similarity",
  "private": false,
  "safetensors": {
    "parameters": {
      "F16": 438349352
    },
    "total": 438349352
  },
  "sha": "875c1f99d7b20e261ea43b3586fdde5f8d5648e5",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "1_Pooling/config.json"
    },
    {
      "rfilename": "2_Dense/config.json"
    },
    {
      "rfilename": "2_Dense/model.safetensors"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "config_sentence_transformers.json"
    },
    {
      "rfilename": "data_manifest.json"
    },
    {
      "rfilename": "model.safetensors"
    },
    {
      "rfilename": "modules.json"
    },
    {
      "rfilename": "sentence_bert_config.json"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    }
  ],
  "spaces": [],
  "tags": [
    "sentence-transformers",
    "safetensors",
    "apertus",
    "embeddings",
    "retrieval",
    "multilingual",
    "swiss",
    "apertus-1.1",
    "bidirectional",
    "matryoshka",
    "sentence-similarity",
    "de",
    "en",
    "fr",
    "it",
    "rm",
    "gsw",
    "dataset:wikimedia/wikipedia",
    "dataset:eljuanina/VotingBooklets-v1",
    "dataset:ZurichNLP/SwissGov-RSD",
    "base_model:swiss-ai/Apertus-v1.1-0.5B",
    "base_model:finetune:swiss-ai/Apertus-v1.1-0.5B",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ],
  "usedStorage": 2653553008,
  "widgetData": [
    {
      "sentences": [
        "Das ist ein glücklicher Hund",
        "Das ist eine sehr glückliche Person",
        "Heute ist ein sonniger Tag"
      ],
      "source_sentence": "Das ist eine glückliche Person"
    }
  ]
}
—
Task
task
Hugging Face modelssentence-similarity
receipt
Source
Hugging Face models
Last answered
2026-10-02 12:06 UTC
Original
open at the source

This source has not kept a receipt for this claim yet. The next update that reads it will.

—

model

andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir
zetlyn/models-hf · 2026-08-19
author andreasmartin downloads 93 gated false licence apache-2.0 likes 0 task sentence-similarity source
andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir
zetlyn/models-hf · 2026-08-19
author andreasmartin downloads 228 gated false licence apache-2.0 likes 1 task sentence-similarity source

quantisation

andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir-GGUF
zetlyn/models-gguf · 2026-09-05
author andreasmartin base andreasmartin/apertus-v1.1-swiss-embed-0.4b-bidir downloads 113 licence apache-2.0 likes 0 source