Hugging Face model: RikkaBotan/quantized-stable-static-embedding-fast-retrieval-mrl-en
Author: RikkaBotan
Created: 2026-02-21 06:24:58
Last modified: 2026-03-16 03:41:42
Pipeline: sentence-similarity
Library: sentence-transformers
Likes: 3 | Downloads: 0
Tags: sentence-transformers, sentence-similarity, feature-extraction, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss, en, dataset:sentence-transformers/squad, dataset:sentence-transformers/trivia-qa-triplet, dataset:sentence-transformers/all-nli, dataset:sentence-transformers/pubmedqa, dataset:sentence-transformers/hotpotqa, dataset:sentence-transformers/miracl, dataset:sentence-transformers/mr-tydi, dataset:sentence-transformers/s2orc, dataset:nthakur/swim-ir-monolingual, dataset:sentence-transformers/paq, dataset:tomaarsen/natural-questions-hard-negatives, arxiv:1908.10084, arxiv:2205.13147, arxiv:1705.00652, base_model:RikkaBotan/stable-static-embedding-fast-retrieval-mrl-en, base_model:finetune:RikkaBotan/stable-static-embedding-fast-retrieval-mrl-en, license:apache-2.0, model-index, endpoints_compatible, region:us
Base model relation: finetune
Base models: id: RikkaBotan/stable-static-embedding-fast-retrieval-mrl-en
Card metadata:
language: en
license: apache-2.0
base_model: RikkaBotan/stable-static-embedding-fast-retrieval-mrl-en
tags: sentence-transformers, sentence-similarity, feature-extraction, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss
datasets: sentence-transformers/squad, sentence-transformers/trivia-qa-triplet, sentence-transformers/all-nli, sentence-transformers/pubmedqa, sentence-transformers/hotpotqa, sentence-transformers/miracl, sentence-transformers/mr-tydi, sentence-transformers/s2orc, nthakur/swim-ir-monolingual, sentence-transformers/paq, tomaarsen/natural-questions-hard-negatives
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy@1, cosine_accuracy@3, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@1, cosine_precision@3, cosine_precision@5, cosine_precision@10, cosine_recall@1, cosine_recall@3, cosine_recall@5, cosine_recall@10, cosine_ndcg@10, cosine_mrr@10, cosine_map@100