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Update README.md
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README.md
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@@ -172,18 +172,11 @@ We ran the retrieval slice of the cMTEB and add the scores here.
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We compared the performance few top general purpose embedding models on the C-MTEB benchmark. please refer to the C-MTEB leaderboard.
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|:----:|:---:|:---:|:---:|:---:|:---:|
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| 360Zhinao-search | ~300M| 1024 | 512 | 75.06 | ❌ |
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| piccolo-base-zh| ~80M| 768 | 512 | 71.2 | ❌ |
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| bge-base-zh-v1.5 | ~80M | 768 | 512 | 69.49 | ❌ |
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|para-multilingual-mpnet| 78M | 768 | 514 | 22.92 | ✅ |
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| thenlper/gte-small-zh | 20M | 512 | 512 | 65.5 |❌ |
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| BAAI/bge-small-zh-v1.5 | 15M | 512 | 512 | 61.77 | ❌ |
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| **miniMiracle_zh_v1**| **20M** | **384** | **512** | **59.91** | ✅ |
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# Roadmap
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We will add miniMiracle series of models for all popular languages as we see fit or based on community requests in phases. Some of the languages we have in our list are
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We compared the performance few top general purpose embedding models on the C-MTEB benchmark. please refer to the C-MTEB leaderboard.
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<center>
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<img src="./zh_metrics_3" width=150%/>
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</center>
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<br/>
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# Roadmap
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We will add miniMiracle series of models for all popular languages as we see fit or based on community requests in phases. Some of the languages we have in our list are
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