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@@ -2664,9 +2664,9 @@ Our model achieve state-of-the-art performance on [MTEB leaderboard](https://hug
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  | Model Name | Dimension | Sequence Length | Average (56) |
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  |:-----------------------------------------------------------------------:|:---------:|:---:|:------------:|
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- | [bge-large-en-v1.5](https://huggingface.co/BAAI/bge-large-en-v1.5) | 1024 | 512 | 64.23 |
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- | [bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5) | 768 | 512 | 63.55 |
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- | [ember-v1](https://huggingface.co/llmrails/emmbedding-en-v1) | 1024 | 512 | **63.54** |
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  | [text-embedding-ada-002](https://platform.openai.com/docs/guides/embeddings/types-of-embedding-models) | 1536 | 8191 | 60.99 |
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  ### Limitation
 
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  | Model Name | Dimension | Sequence Length | Average (56) |
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  |:-----------------------------------------------------------------------:|:---------:|:---:|:------------:|
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+ | [ember-v1](https://huggingface.co/llmrails/ember-v1) | 1024 | 512 | **63.54** |
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+ | [bge-large-en-v1.5](https://huggingface.co/BAAI/bge-large-en-v1.5) | 1024 | 512 | 63.23 |
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+ | [bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5) | 768 | 512 | 63.05 |
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  | [text-embedding-ada-002](https://platform.openai.com/docs/guides/embeddings/types-of-embedding-models) | 1536 | 8191 | 60.99 |
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  ### Limitation