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For more details please refer to our Github: [BGE-Reasoner](https://github.com/
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**BGE-Reasoner-Embed-Qwen3-8B-0923** is an embedding model trained for reasoning-intensive retrieval tasks, based on [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B). It achieves an nDCG@10 of 37.1 on the [BRIGHT](https://brightbenchmark.github.io/) benchmark with original query, demonstrating its strong capability in reasoning-intensive retrieval tasks.
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For more details please refer to our Github: [BGE-Reasoner](https://github.com/VectorSpaceLab/agentic-search/tree/main/BGE-Reasoner).
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**BGE-Reasoner-Embed-Qwen3-8B-0923** is an embedding model trained for reasoning-intensive retrieval tasks, based on [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B). It achieves an nDCG@10 of 37.1 on the [BRIGHT](https://brightbenchmark.github.io/) benchmark with original query, demonstrating its strong capability in reasoning-intensive retrieval tasks.
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