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Sieddi

deepset-mxbai-embed-de-large-v1

Sieddi/deepset-mxbai-embed-de-large-v1
text embeddingsLicense: apache-2.0Hashes recordedsafetensors · ONNX

Content controls: not assessed.

Model from Hugging Face for feature extraction: Sieddi/deepset-mxbai-embed-de-large-v1 · sentence transformers

模型信息

deepset-mxbai-embed-de-large-v1 is an embedding model for text embeddings. The primary file is model.safetensors (974 MB). The primary file needs about 2 GB free for the selected file. License: Apache 2.0. The SHA-256 prefix is e61c397beb6a. The primary Download is available now. No tested run commands for this file yet. See Files for current download availability. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included. The size line uses recorded file bytes when they are present in this model record.

包含内容

10 hosted of 43 listed

Weights
Tokenizer & config
README, LICENSE & .gitattributes

关于此模型

External Hugging Face catalog record for Sieddi/deepset-mxbai-embed-de-large-v1. Task: feature extraction. Library: sentence transformers. Languages: de, en.

基本信息

Hosted here
10 hosted of 43 listed
Full repo upstream
7.74 GB
Recommended file
974.2 MB · model.safetensors
Languages
de, en
Format
safetensors · ONNX
Downloads on Hugging Face
86
File hashes
Hashes recorded. Date not recorded.

许可证与来源

License: apache-2.0

Check the license text and keep the required notices when you use or share the files.

Upstream source →

See the JSON record →

Task
text embeddings
Hosted here
10 files, 986.5 MB
Full repo upstream
7.74 GB
Recommended file
974.2 MB · model.safetensors
Files
10 hosted of 43 listed
Added to Hugging Bay
Updated at source

FAQ

What is this model?

Sieddi/deepset-mxbai-embed-de-large-v1 is an embedding model for text embeddings published by Sieddi, added to Hugging Bay Sep 29, 2026. Model from Hugging Face for feature extraction: Sieddi/deepset-mxbai-embed-de-large-v1 · sentence transformers

Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

How big is it?

Hosted here: 10 files, 986.5 MB. Full repo upstream: 7.74 GB. The recommended download, model.safetensors, is 974.2 MB.

What can I download here?

Hosted here: 10 files, 986.5 MB. Full repo upstream: 7.74 GB. The original release is at https://huggingface.co/Sieddi/deepset-mxbai-embed-de-large-v1.

File checks and computer fit
File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 10 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-sieddi-deepset-mxbai-embed-de-large-v1/safety on Hugging Bay.

Will Sieddi/deepset-mxbai-embed-de-large-v1 run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.