Alibaba-NLP
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gte-Qwen2-1.5B-instruct

Sentence Similarity

sentence-transformers

text-generation

text-embeddings-inference

Inference Endpoints

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thenlper commited on Jun 30

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@@ -5642,7 +5642,7 @@ You can use the [scripts/eval_mteb.py](https://huggingface.co/Alibaba-NLP/gte-Qw
 | [gte-Qwen1.5-7B-instruct](https://huggingface.co/Alibaba-NLP/gte-Qwen1.5-7B-instruct) |   67.34   |   69.52    |  - | - |
 | [NV-Embed-v1](https://huggingface.co/nvidia/NV-Embed-v1) |   69.32   |     -      |  - | - |
 | [**gte-Qwen2-7B-instruct**](https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct) | **70.24** | **72.05**  | **68.25**   | **67.86** |
-| gte-Qwen2-1.5B-instruc(https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) | 67.16 | 67.65  | 66.60 | 64.04 |
 ### GTE Models
@@ -5661,6 +5661,7 @@ The gte series models have consistently released two types of models: encoder-on
 | [GTE-Qwen1.5-7B-instruct](https://huggingface.co/Alibaba-NLP/gte-Qwen1.5-7B-instruct) | Multilingual | 32000 | 4096 | 26.45GB |
 |   [GTE-Qwen2-7B-instruct](https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct)   | Multilingual | 32000 | 3584 | 26.45GB |
 |   [GTE-Qwen2-1.5B-instruct](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct)   | Multilingual | 32000 | 1536 | 6.62GB |
 ## Citation
 If you find our paper or models helpful, please consider cite:

 | [gte-Qwen1.5-7B-instruct](https://huggingface.co/Alibaba-NLP/gte-Qwen1.5-7B-instruct) |   67.34   |   69.52    |  - | - |
 | [NV-Embed-v1](https://huggingface.co/nvidia/NV-Embed-v1) |   69.32   |     -      |  - | - |
 | [**gte-Qwen2-7B-instruct**](https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct) | **70.24** | **72.05**  | **68.25**   | **67.86** |
+| [**gte-Qwen2-1.5B-instruct**](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct) | **67.16** | **67.65**  | **66.60** | **64.04** |
 ### GTE Models
 | [GTE-Qwen1.5-7B-instruct](https://huggingface.co/Alibaba-NLP/gte-Qwen1.5-7B-instruct) | Multilingual | 32000 | 4096 | 26.45GB |
 |   [GTE-Qwen2-7B-instruct](https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct)   | Multilingual | 32000 | 3584 | 26.45GB |
 |   [GTE-Qwen2-1.5B-instruct](https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct)   | Multilingual | 32000 | 1536 | 6.62GB |
 ## Citation
 If you find our paper or models helpful, please consider cite: