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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zyznull commited on Jun 29

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@@ -5660,7 +5660,7 @@ The gte series models have consistently released two types of models: encoder-on
 |        [GTE-base-en-v1.5](https://huggingface.co/Alibaba-NLP/gte-base-en-v1.5)        | English | 8192 |    768    |             0.51GB              |
 | [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 | 6.7GB |
 ## Citation
 If you find our paper or models helpful, please consider cite:

 |        [GTE-base-en-v1.5](https://huggingface.co/Alibaba-NLP/gte-base-en-v1.5)        | English | 8192 |    768    |             0.51GB              |
 | [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: