nomic-ai/modernbert-embed-base
sentence-similarity model by nomic-ai
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From the publisher
Model card & documentation
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[](https://huggingface.co/nomic-ai/modernbert-embed-base) ModernBERT Embed is an embedding model trained from ModernBERT-base, bringing the new advances of ModernBERT to embeddings! Trained on the Nomic Embed weakly-supervised and supervised datasets, modernbert-embed also supports Matryoshka Representation Learning dimensions of 256, reducing memory by 3x with minimal performance loss. You can use these models directly with the latest transformers release and requires installing transformers>=4.48.0: Reminder, this model is trained similarly to Nomic Embed and REQUIRES prefixes to be added to the input. For more information, see the instructions in Nomic Embed. Most use cases, adding searchquery: to the query and searchdocument: to the documents will be sufficient. Click to see Sentence Transformers usage with Matryoshka Truncation In Sentence Transformers, you can truncate embeddings to a smaller dimension by using the truncatedim parameter when loading the SentenceTransformer model. Note the small differences compared to the full 768-dimensional similarities. Click to see Transformers usage with Matryoshka Truncation…
Read the full model card ↗ · Preview checked 2026-10-31T23:16:32.825Z
Inside the original model card — Document outline
- ModernBERT Embed
- Performance
- Usage
- Sentence Transformers
- Transformers
- Transformers.js
- Training
- Join the Nomic Community
- 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
nomic-ai/modernbert-embed-base is a sentence-similarity model repository published by nomic-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
- sentence-similarity
- Library
- sentence-transformers
- Recent downloads (30 days)
- 115,810
- Cumulative likes
- 234
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 149,014,272
- Architecture
- ModernBertModel
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2024-12-29T23:51:30.000Z
- Last modified
- 2025-01-24T15:31:46.000Z
Compatibility and lineage
Reported languages: en
Reported base models: answerdotai/ModernBERT-base, nomic-ai/modernbert-embed-unsupervised
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
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-28T06:50:52.842Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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