Update README.md

README.md

@@ -60,13 +60,12 @@ Our model, **telepix/PIXIE-Rune-Preview**, achieves strong performance across mo
 | **telepix/PIXIE-Rune-Preview** | 568M | **0.6905** | **0.6461** | **0.6859** | **0.7063** | **0.7238** |
 | telepix/PIXIE-Splade-Preview | 0.1B | 0.6677 | 0.6238 | 0.6628 | 0.6831 | 0.7009 |
 |  |  |  |  |  |  |  |
-| nlpai-lab/KURE-v1 | 568M | 0.6751 | 0.6277 | 0.6725 | 0.6907 | 0.7095 |
-| dragonekue/BGE-m3-ko | 568M | 0.6658 | 0.6225 | 0.6627 | 0.6795 | 0.6985 |
-| Snowflake/snowflake-arctic-embed-l-v2.0 | 568M | 0.6592 | 0.6118 | 0.6542 | 0.6759 | 0.6949 |
-| BAAI/bge-m3 | 568M | 0.6573 | 0.6099 | 0.6533 | 0.6732 | 0.6930 |
-| Qwen/Qwen3-Embedding-0.6B | 595M | 0.6321 | 0.5894 | 0.6274 | 0.6455 | 0.6662 |
-| jinaai/jina-embeddings-v3 | 572M | 0.6293 | 0.5800 | 0.6254 | 0.6456 | 0.6665 |
-| Alibaba-NLP/gte-multilingual-base | 305M | 0.6111 | 0.5542 | 0.6089 | 0.6302 | 0.6511 |
+| nlpai-lab/KURE-v1 | 0.5B | 0.6751 | 0.6277 | 0.6725 | 0.6907 | 0.7095 |
+| Snowflake/snowflake-arctic-embed-l-v2.0 | 0.5B | 0.6592 | 0.6118 | 0.6542 | 0.6759 | 0.6949 |
+| BAAI/bge-m3 | 0.5B | 0.6573 | 0.6099 | 0.6533 | 0.6732 | 0.6930 |
+| Qwen/Qwen3-Embedding-0.6B | 0.6B | 0.6321 | 0.5894 | 0.6274 | 0.6455 | 0.6662 |
+| jinaai/jina-embeddings-v3 | 0.6B | 0.6293 | 0.5800 | 0.6254 | 0.6456 | 0.6665 |
+| Alibaba-NLP/gte-multilingual-base | 0.3B | 0.6111 | 0.5542 | 0.6089 | 0.6302 | 0.6511 |
 | openai/text-embedding-3-large | N/A | 0.6015 | 0.5466 | 0.5999 | 0.6187 | 0.6409 |
 
 Descriptions of the benchmark datasets used for evaluation are as follows: