ONNX Model Zoo

LevelUp2x/sentence-transformers-all-MiniLM-L6-v2

By LevelUp2x · ↓ 0 · ♥ 0 · Updated 2025-09-15

What's in this repo

This page lists the files in LevelUp2x/sentence-transformers-all-MiniLM-L6-v2, including model.onnx, model_O1.onnx, model_O2.onnx and more.

  • 9 ONNX models (.onnx files)
  • 63 files, including 11 .json, 9 .onnx, 3 .bin, 2 .xml, 1 .jinja, 1 .md
  • Last updated 2025-09-15

ONNX files

File Size Download
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/onnx/model.onnx — Download
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/onnx/model_O1.onnx — Download
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/onnx/model_O2.onnx — Download
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/onnx/model_O3.onnx — Download
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/onnx/model_O4.onnx — Download
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/onnx/model_qint8_arm64.onnx — Download
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/onnx/model_qint8_avx512.onnx — Download
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/onnx/model_qint8_avx512_vnni.onnx — Download
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/onnx/model_quint8_avx2.onnx — Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

No README provided by the author.

Model info

onnx safetensors region:us
↓ 0 ♥ 0

Created: 2025-09-15

Updated: 2025-09-15

View on Hugging Face

Files (63)

.gitattributes
.no_exist/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/adapter_config.json
.no_exist/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/added_tokens.json
.no_exist/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/chat_template.jinja
blobs/1391c6fc20b5530250bc15cbe1f47578ffeca55ab0551d335cc668b6299a88ec
blobs/1667d7f3ba669048b13a96ee3a44456d5e42c8f44588ae8b603430e16160c485
blobs/1de3905029190b398c7d300b530e320cf4b5e7d3dfb9af1429ebd73fd9a16faf
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blobs/8b86cab4722e2aefab310cf96d4d5a9eb3b187f7d9670a082afc55c7fa0d392a
blobs/952a9b81c0bfd99800fabf352f69c7ccd46c5e43
blobs/a44f671e364dddbac31f203f07b91be6b0a35e51936e5ebfab65b6d9538b83ff
blobs/b941bf19f1f1283680f449fa6a7336bb5600bdcd5f84d10ddc5cd72218a0fd21
blobs/c3a85f238711653950f6a79ece63eb0ea93d76f6a6284be04019c53733baf256
blobs/c79f2b6a0cea6f4b564fed1938984bace9d30ff0
blobs/c92ea4af3c6bc7b4a0f3b3d61b147c850f4dbdd7c9e7beee0c0c70dc12da289b
blobs/cb202bfe2e3c98645018a6d12f182a434c9d3e02
blobs/d1514c3162bbe87b343f565fadc62e6c06f04f03
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blobs/fb140275c155a9c7c5a3b3e0e77a9e839594a938
blobs/fd1b291129c607e5d49799f87cb219b27f98acdf
refs/main
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/.gitattributes
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/1_Pooling/config.json
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/README.md
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/config.json
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/config_sentence_transformers.json
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/data_config.json
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/model.safetensors
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/modules.json
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/onnx/model.onnx ONNX
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/onnx/model_O1.onnx ONNX
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/onnx/model_O2.onnx ONNX
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/onnx/model_O3.onnx ONNX
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/onnx/model_O4.onnx ONNX
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/onnx/model_qint8_arm64.onnx ONNX
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/onnx/model_qint8_avx512.onnx ONNX
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/onnx/model_qint8_avx512_vnni.onnx ONNX
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/onnx/model_quint8_avx2.onnx ONNX
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/openvino/openvino_model.bin
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/openvino/openvino_model.xml
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/openvino/openvino_model_qint8_quantized.bin
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/openvino/openvino_model_qint8_quantized.xml
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/pytorch_model.bin
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/rust_model.ot
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/sentence_bert_config.json
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/special_tokens_map.json
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/tf_model.h5
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/tokenizer.json
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/tokenizer_config.json
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/train_script.py
snapshots/c9745ed1d9f207416be6d2e6f8de32d1f16199bf/vocab.txt

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