{"v":1,"id":"model:hf:KBLab/sentence-bert-swedish-cased","slug":"model-kblab-sentence-bert-swedish-cased","kind":"model","category":"embedding","title":"sentence-bert-swedish-cased","summary":"This is a sentence-transformers model: It maps Swedish sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search. This model is a bil…","source":{"provider":"hf","ref":"KBLab/sentence-bert-swedish-cased","url":"https://huggingface.co/KBLab/sentence-bert-swedish-cased","rev":"6b5e83cd29c03729cfdc33d13b1423399b0efb5c","fetchedAt":"2026-10-02T21:00:39.567Z","etag":"W/\"19f2-Lg2WWL4nCUaqNKmTn7Tu5+UXzK4\""},"author":{"name":"KBLab","url":"https://huggingface.co/KBLab"},"license":{"spdx":"apache-2.0","raw":"apache-2.0","open":true},"metrics":{"downloads":69299,"downloadsWeek":327838,"likes":36,"takenAt":"2026-10-02T21:00:39.567Z"},"tags":["sentence-transformers","pytorch","safetensors","gguf","bert","feature-extraction","sentence-similarity","transformers","sv","text-embeddings-inference","endpoints_compatible","deploy:azure"],"pipeline":"sentence-similarity","links":{"github":"ggml-org/llama.cpp","npm":"node-llama-cpp"},"updatedAt":"2025-11-07T22:48:16.000Z","collectedAt":"2026-10-02T21:00:39.567Z","review":{"numbers":["69,299 downloads on Hugging Face","36 likes","license apache-2.0","0.2 GB for Sentence-Bert-Swedish-Cased-124M-BF16.gguf","327,838 npm downloads a week for node-llama-cpp","latest node-llama-cpp@3.22.1"],"log":null},"trust":"unlabeled","health":{"status":"alive","checkedAt":"2026-10-02T21:00:39.567Z","http":200},"description":"# KBLab/sentence-bert-swedish-cased\n\nThis is a [sentence-transformers](https://www.SBERT.net) model: It maps Swedish sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search. This model is a bilingual Swedish-English model trained according to instructions in the paper [Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation](https://arxiv.org/pdf/2004.09813.pdf) and the [documentation](https://www.sbert.net/examples/training/multilingual/README.html) accompanying its companion python package. We have used the strongest available pretrained English Bi-Encoder ([all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2)) as a teacher model, and the pretrained Swedish [KB-BERT](https://huggingface.co/KB/bert-base-swedish-cased) as the student model.\n\nA more detailed description of the model can be found in an article we published on the KBLab blog [here](https://kb-labb.github.io/posts/2021-08-23-a-swedish-sentence-transformer/) and for the updated model [here](https://kb-labb.github.io/posts/2023-01-16-sentence-transformer-20/).\n\n**Update**: We have released updated versions of the model since the initial release. The original model described in the blog post is **v1.0**. The current version is **v2.0**. The newer versions are trained on longer paragraphs, and have a longer max sequence length. **v2.0** is trained with a stronger teacher model and is the current default.\n\n| Model version | Teacher Model | Max Sequence Length |\n|---------------|---------|----------|\n| v1.0          | [paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2)  | 256   |\n| v1.1          | [paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2)  | 384   |\n| v2.0          | [all-mpnet-base-v2](https://huggingface.co/sentence-tran…\n\nSource: https://huggingface.co/KBLab/sentence-bert-swedish-cased","install":{"kind":"model","hfId":"KBLab/sentence-bert-swedish-cased","gated":false,"format":"gguf","files":[{"name":"Sentence-Bert-Swedish-Cased-124M-BF16.gguf","size":250281056,"quant":"BF16","sha256":"625a8db7ea38ed81fa1866a80ac4f16454578ffe8c8cc2521b9ed856fdeac095"},{"name":"model.safetensors","size":498790336,"sha256":"1561e3731bd6e2bf8d6c9188ed26433f96ef53c6a51f169e4ddb8ad6dd81eba5"},{"name":"pytorch_model.bin","size":498834989,"sha256":"6bea01d07d85dc7870dfd9907ca78bac21ee8b1ef81c838f25a88b6494c79b32"}],"totalBytes":1247906381,"suggestedFile":"Sentence-Bert-Swedish-Cased-124M-BF16.gguf","requirements":{"ramGb":1,"diskBytes":250281056,"note":"estimate: suggested file size × 1.15 + 0.5 GB; a real measurement comes with lsh models"},"runWith":["llama.cpp"],"command":"lsh models install hf:KBLab/sentence-bert-swedish-cased"}}