# sparse-encoder-testing/splade-bert-tiny-nq-openvino

Model from Hugging Face for feature extraction: sparse-encoder-testing/splade-bert-tiny-nq-openvino · sentence transformers

## Facts

- Type: Embedding
- Task: feature-extraction
- Framework: sentence-transformers
- License: apache-2.0 — Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/Apache-2.0.html)
- Source: https://huggingface.co/sparse-encoder-testing/splade-bert-tiny-nq-openvino
- Hosting: hosted (8 files)
- Files: 8 hosted of 14 listed
- File counts: "listed" is every file in the source repository; only hosted files download from Hugging Bay, and the download plan lists the files it selects for one download, so its count can differ.
- Hosted here: at least 8 listed files; full count and size unknown
- Full repo upstream: 36.4 MB
- Recommended file: 17.7 MB · model.safetensors
- Download: https://huggingbay.xyz/artifact/hf-model-sparse-encoder-testing-splade-bert-tiny-nq-openvino/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-sparse-encoder-testing-splade-bert-tiny-nq-openvino/download-plan)
- Per-file SHA-256: available for 7 of 8 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-sparse-encoder-testing-splade-bert-tiny-nq-openvino/files?limit=100
- Run-ready: no (Hugging Bay has not certified a run path for this model; hosted bytes are downloadable and hash-checkable only)
- Peer-assisted fallbacks: 0 verified, 0 pending review
- Downloads: 61
- Stars: 0
- Card completeness: 96%

## Description

External Hugging Face catalog record for sparse-encoder-testing/splade-bert-tiny-nq-openvino. Task: feature extraction. Library: sentence transformers. Languages: en. Datasets referenced by card metadata: sentence-transformers/natural-questions. Includes 12 model-card evaluation signals. Popularity signal at import: 417 downloads and 0 likes.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: feature-extraction
- Library: sentence-transformers
- Task categories: feature-extraction
- Languages: en
- Referenced datasets: sentence-transformers/natural-questions
- Metrics: dot_accuracy@1, dot_accuracy@3, dot_accuracy@5, dot_accuracy@10, dot_precision@1, dot_precision@3, dot_precision@5, dot_precision@10
- Paper ids: 1908.10084, 2205.04733
- Model-index entries: SPLADE BERT-tiny trained on Natural-Questions tuples
- Evaluation signals: 12 model-card eval results
- File hints: 14 upstream file samples

## Evaluation Signals

- NanoMSMARCO: Dot Accuracy@1 = 0.22 (Sparse Information Retrieval)
- NanoMSMARCO: Dot Accuracy@3 = 0.36 (Sparse Information Retrieval)
- NanoMSMARCO: Dot Accuracy@5 = 0.4 (Sparse Information Retrieval)
- NanoMSMARCO: Dot Accuracy@10 = 0.54 (Sparse Information Retrieval)
- NanoMSMARCO: Dot Precision@1 = 0.22 (Sparse Information Retrieval)
- NanoMSMARCO: Dot Precision@3 = 0.11999999999999998 (Sparse Information Retrieval)
- NanoMSMARCO: Dot Precision@5 = 0.08000000000000002 (Sparse Information Retrieval)
- NanoMSMARCO: Dot Precision@10 = 0.054000000000000006 (Sparse Information Retrieval)
- NanoNFCorpus: Dot Accuracy@1 = 0.24 (Sparse Information Retrieval)
- NanoNFCorpus: Dot Accuracy@3 = 0.38 (Sparse Information Retrieval)

## Referenced Data

- Dataset: sentence-transformers/natural-questions
- Paper: 1908.10084
- Paper: 2205.04733

## File Hints

- .gitattributes (1.5 KB)
- 1_SpladePooling/config.json (111 B)
- README.md (52 KB)
- config.json (610 B)
- config_sentence_transformers.json (292 B)
- model.safetensors (17 MB) LFS
- modules.json (287 B)
- openvino/openvino_model.bin (17 MB) LFS
- openvino/openvino_model.xml (88 KB)
- sentence_bert_config.json (60 B)
- special_tokens_map.json (732 B)
- tokenizer.json (695 KB)

## Quality Checklist

- Summary: passed
- Description: passed
- Model card metadata: passed
- License: passed
- Provenance: passed
- File inventory: passed
- Hosted bytes: passed
- Scan result: passed
- Manifest signature: passed

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-09-23T02:14:06.400Z.
- Open license detected as apache-2.0.
- Model-index metadata found for SPLADE BERT-tiny trained on Natural-Questions tuples.
- Model card references dataset context: sentence-transformers/natural-questions.
- Not a run kit: hosted, hash-checked bytes only; run readiness is not certified for this model yet.

## Actions

- Web: https://huggingbay.xyz/artifact/hf-model-sparse-encoder-testing-splade-bert-tiny-nq-openvino
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