mixedbread-ai/mxbai-embed-2d-large-v1
feature-extraction model by mixedbread-ai
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
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 is our 2DMSE sentence embedding model. It supports the adaptive transformer layer and embedding size. Find out more in our blog post. TLDR: 2D-🪆 allows you to shrink the model and the embeddings layer. Shrinking only the embeddings model yields competetive results to other models like nomics embeddings model. Shrinking the model to 50% maintains upto 85% of the performance without further training. Here, we provide several ways to produce sentence embeddings with adaptive layers and embedding sizes. For this version, it is recommended to set adaptive layers from 20 to 24. Currently, the best way to use our models is with the most recent version of sentence-transformers. You can…
Read the full model card ↗ · Preview checked 2026-11-01T10:30:07.040Z
Inside the original model card — Document outline
- 🪆mxbai-embed-2d-large-v1🪆
- Quickstart
- sentence-transformers
- angle-emb
- Transformers.js
- Using API
- Evaluation
- Community
- License
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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/mxbai-embed-2d-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)
- 161,170
- Cumulative likes
- 43
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 335,141,888
- Architecture
- BertModel
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2024-03-04T11:17:53.000Z
- Last modified
- 2025-03-13T04:16:28.000Z
Compatibility and lineage
Reported languages: 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.