mixedbread-ai/deepset-mxbai-embed-de-large-v1
feature-extraction model by mixedbread-ai
From the publisher
Model card & documentation
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The crispy sentence embedding family from Mixedbread. 🍞 Looking for a simple end-to-end retrieval solution? Meet Omni, our multimodal and multilingual model. Get in touch for access. This model is a powerful open-source German/English embedding model developed by Mixedbread in collaboration with deepset. It's built upon intfloat/multilingual-e5-large and trained using the AnglE loss. Read more details in our blog post. In a bread loaf: On the NDCG@10 metric, our model achieves an average performance of 51.7, setting a new standard for open-source German embedding models: In a case study with a legal data client, our model outperformed domain-specific alternatives: Our model supports both binary quantization and Matryoshka Representation Learning (MRL), allowing for significant efficiency gains: These optimizations can lead to substantial reductions in infrastructure…
Read the full model card ↗ · Preview checked 2026-11-01T13:41:00.787Z
Inside the original model card — Document outline
- mixedbread-ai/deepset-mxbai-embed-de-large-v1
- Performance
- Binary Quantization and Matryoshka
- Quickstart
- Community
- License
- Citation
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
mixedbread-ai/deepset-mxbai-embed-de-large-v1 is a feature-extraction model repository published by mixedbread-ai on Hugging Face. The source reports the sentence-transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- feature-extraction
- Library
- sentence-transformers
- Recent downloads (30 days)
- 404,605
- Cumulative likes
- 61
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 487,066,624
- Architecture
- XLMRobertaModel
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2024-07-12T06:45:32.000Z
- Last modified
- 2025-03-24T14:42:47.000Z
Compatibility and lineage
Reported languages: de, en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:29.511Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.