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Linq-Embed-Mistral

Feature Extraction
sentence-transformers
Safetensors
Transformers
English
mistral
mteb
Eval Results (legacy)
text-embeddings-inference
Model card Files
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@@ -80,7 +80,7 @@ Check out [unilm/e5](https://github.com/microsoft/unilm/tree/master/e5) to repro
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  | Model Name | Retrieval (15) | Average (56) |
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  | :------------------------------------------------------------------------------: | :------------: | :----------: |
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- | [Linq-Embed-Mistral](https://huggingface.co/Linq-AI-Research/Linq-Embed-Mistral) | **(60.0) | 68.1 |
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  | [NV-Embed-v1](https://huggingface.co/nvidia/NV-Embed-v1) | 59.4 | 69.3 |
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  | [SFR-Embedding-Mistral](https://huggingface.co/Salesforce/SFR-Embedding-Mistral) | 59.0 | 67.6 |
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  | [voyage-large-2-instruct]() | 58.3 | 68.3 |
 
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  | Model Name | Retrieval (15) | Average (56) |
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  | :------------------------------------------------------------------------------: | :------------: | :----------: |
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+ | [Linq-Embed-Mistral](https://huggingface.co/Linq-AI-Research/Linq-Embed-Mistral) | **60.0** | 68.1 |
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  | [NV-Embed-v1](https://huggingface.co/nvidia/NV-Embed-v1) | 59.4 | 69.3 |
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  | [SFR-Embedding-Mistral](https://huggingface.co/Salesforce/SFR-Embedding-Mistral) | 59.0 | 67.6 |
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  | [voyage-large-2-instruct]() | 58.3 | 68.3 |