| schema_version: 3 |
| id: eidora/text-minilm-l6-v2-light |
| name: MiniLM_L6_v2_Text |
| version: 1.0.0 |
| modality: text |
| license: apache-2.0 |
| bibtex: "@inproceedings{reimers-2019-sentence-bert,\n title = \"Sentence-BERT: Sentence\ |
| \ Embeddings using Siamese BERT-Networks\",\n author = \"Reimers, Nils and Gurevych,\ |
| \ Iryna\",\n booktitle = \"Proceedings of EMNLP-IJCNLP\",\n year = \"2019\",\n\ |
| \ pages = \"3982--3992\",\n url = \"https://aclanthology.org/D19-1410/\"\n}" |
| compatibility: |
| min_eidora_version: 0.1.0 |
| artifacts: |
| - path: model.onnx |
| sha256: 14ec04822edb8d74fdf375e0e815acc35a134746f266db2187e5b209a7e45304 |
| role: graph |
| - path: tokenizer/special_tokens_map.json |
| sha256: 303df45a03609e4ead04bc3dc1536d0ab19b5358db685b6f3da123d05ec200e3 |
| role: tokenizer |
| - path: tokenizer/tokenizer.json |
| sha256: be50c3628f2bf5bb5e3a7f17b1f74611b2561a3a27eeab05e5aa30f411572037 |
| role: tokenizer |
| - path: tokenizer/tokenizer_config.json |
| sha256: acb92769e8195aabd29b7b2137a9e6d6e25c476a4f15aa4355c233426c61576b |
| role: tokenizer |
| - path: tokenizer/vocab.txt |
| sha256: 07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3 |
| role: tokenizer |
| runtime: |
| graph: model.onnx |
| inputs: |
| - name: input_ids |
| source: token_ids |
| dtype: int64 |
| shape: |
| - batch |
| - 256 |
| - name: attention_mask |
| source: attention_mask |
| dtype: int64 |
| shape: |
| - batch |
| - 256 |
| output: |
| name: embedding |
| dtype: float32 |
| shape: |
| - batch |
| - 384 |
| execution_providers: |
| - CUDAExecutionProvider |
| - CoreMLExecutionProvider |
| - CPUExecutionProvider |
| preparation: |
| tokenizer_path: tokenizer |
| max_length: 256 |
| padding_side: right |
| truncation_side: right |
| add_special_tokens: true |
| prefix: '' |
| suffix: '' |
| parameters: |
| truncation_side: |
| default: right |
| embedding: |
| dimensions: 384 |
| normalized: true |
| similarity: cosine |
| metadata: |
| summary: Compact sentence-transformer model producing 384-dimensional embeddings |
| for text similarity. |
| trained_on: Sentence-pair training data described by the upstream Sentence Transformers |
| model card. |
| feature_type: embedding |
| pooling: attention-mask-aware mean |
| group: |
| id: text |
| label: Text Models |
| order: 20 |
| provenance: |
| base_model: sentence-transformers/all-MiniLM-L6-v2 |
| source_repository: https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2 |
| original_name: all-MiniLM-L6-v2 |
| original_model_url: https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2 |
| paper_title: 'Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks' |
| paper_url: https://aclanthology.org/D19-1410/ |
| training_data: Sentence-pair training data described by the upstream Sentence |
| Transformers model card. |
| upstream_license: Apache-2.0 |
| authors: |
| - Sentence Transformers contributors |
| source_model: sentence-transformers/all-MiniLM-L6-v2 |
| source_revision: 1110a243fdf4706b3f48f1d95db1a4f5529b4d41 |
| exported_opset: 17 |
| export_date: '2026-10-26' |
| exporter_version: eidora-onnx 1.0.0 |
|
|
