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PIXIE-Rune-Preview

Feature Extraction
sentence-transformers
Safetensors
xlm-roberta
sentence-similarity
dense-encoder
dense
telepix
text-embeddings-inference
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@@ -57,7 +57,7 @@ Our model, **telepix/PIXIE-Rune-Preview**, achieves strong performance across mo
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  | Model Name | # params | Avg. NDCG | NDCG@1 | NDCG@3 | NDCG@5 | NDCG@10 |
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  |------|:---:|:---:|:---:|:---:|:---:|:---:|
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- | **telepix/PIXIE-Rune-Preview** | 568M | **0.6905** | **0.6461** | **0.6859** | **0.7063** | **0.7238** |
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  | telepix/PIXIE-Splade-Preview | 0.1B | 0.6677 | 0.6238 | 0.6628 | 0.6831 | 0.7009 |
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  | nlpai-lab/KURE-v1 | 0.5B | 0.6751 | 0.6277 | 0.6725 | 0.6907 | 0.7095 |
@@ -89,15 +89,14 @@ Our model, **telepix/PIXIE-Rune-Preview**, achieves strong performance on a wide
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  | Model Name | # params | Avg. NDCG | NDCG@1 | NDCG@3 | NDCG@5 | NDCG@10 |
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  |------|:---:|:---:|:---:|:---:|:---:|:---:|
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- | **telepix/PIXIE-Rune-Preview** | 568M | **0.5781** | **0.5691** | **0.5663** | **0.5791** | **0.5979** |
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- | Snowflake/snowflake-arctic-embed-l-v2.0 | 568M | 0.5812 | 0.5725 | 0.5705 | 0.5811 | 0.6006 |
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- | Qwen/Qwen3-Embedding-0.6B | 595M | 0.5558 | 0.5321 | 0.5451 | 0.5620 | 0.5839 |
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- | Alibaba-NLP/gte-multilingual-base | 305M | 0.5541 | 0.5446 | 0.5426 | 0.5574 | 0.5746 |
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- | BAAI/bge-m3 | 568M | 0.5318 | 0.5078 | 0.5231 | 0.5389 | 0.5573 |
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- | dragonekue/BGE-m3-ko | 568M | 0.5307 | 0.5125 | 0.5174 | 0.5362 | 0.5566 |
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- | nlpai-lab/KURE-v1 | 568M | 0.5272 | 0.5017 | 0.5171 | 0.5353 | 0.5548 |
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- | jinaai/jina-embeddings-v3 | 572M | 0.4482 | 0.4116 | 0.4379 | 0.4573 | 0.4861 |
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  Descriptions of the benchmark datasets used for evaluation are as follows:
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  - **ArguAna**
 
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  | Model Name | # params | Avg. NDCG | NDCG@1 | NDCG@3 | NDCG@5 | NDCG@10 |
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  |------|:---:|:---:|:---:|:---:|:---:|:---:|
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+ | **telepix/PIXIE-Rune-Preview** | 0.5B | **0.6905** | **0.6461** | **0.6859** | **0.7063** | **0.7238** |
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  | telepix/PIXIE-Splade-Preview | 0.1B | 0.6677 | 0.6238 | 0.6628 | 0.6831 | 0.7009 |
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  | | | | | | | |
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  | nlpai-lab/KURE-v1 | 0.5B | 0.6751 | 0.6277 | 0.6725 | 0.6907 | 0.7095 |
 
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  | Model Name | # params | Avg. NDCG | NDCG@1 | NDCG@3 | NDCG@5 | NDCG@10 |
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  |------|:---:|:---:|:---:|:---:|:---:|:---:|
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+ | **telepix/PIXIE-Rune-Preview** | 0.5B | **0.5781** | **0.5691** | **0.5663** | **0.5791** | **0.5979** |
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  | | | | | | | |
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+ | Snowflake/snowflake-arctic-embed-l-v2.0 | 0.5B | 0.5812 | 0.5725 | 0.5705 | 0.5811 | 0.6006 |
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+ | Qwen/Qwen3-Embedding-0.6B | 0.6B | 0.5558 | 0.5321 | 0.5451 | 0.5620 | 0.5839 |
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+ | Alibaba-NLP/gte-multilingual-base | 0.3B | 0.5541 | 0.5446 | 0.5426 | 0.5574 | 0.5746 |
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+ | BAAI/bge-m3 | 0.5B | 0.5318 | 0.5078 | 0.5231 | 0.5389 | 0.5573 |
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+ | nlpai-lab/KURE-v1 | 0.5B | 0.5272 | 0.5017 | 0.5171 | 0.5353 | 0.5548 |
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+ | jinaai/jina-embeddings-v3 | 0.6B | 0.4482 | 0.4116 | 0.4379 | 0.4573 | 0.4861 |
 
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  Descriptions of the benchmark datasets used for evaluation are as follows:
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  - **ArguAna**