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nomic-ai
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nomic-embed-text-v2-moe

Sentence Similarity
sentence-transformers
Safetensors
nomic_bert
feature-extraction
custom_code
text-embeddings-inference
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@@ -199,9 +199,11 @@ embeddings = model.encode(sentences, prompt_name="passage")
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  ## Performance
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/607997c83a565c15675055b3/xadjrezEIM0Q1jbgmjqO7.png)
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/607997c83a565c15675055b3/8hmhWQ_TTmlrviZFIBSxo.png)
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  ## Performance
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+ nomic-embed-text-v2 performance on BEIR and MIRACL compared to other open-weights embedding models:
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/607997c83a565c15675055b3/xadjrezEIM0Q1jbgmjqO7.png)
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+ nomic-embed-text-v2 performance on BEIR at 768 dimension and truncated to 256 dimensions:
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/607997c83a565c15675055b3/8hmhWQ_TTmlrviZFIBSxo.png)
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