Qwen
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Qwen3-VL-Reranker-8B

multimodal rerank

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fix parameter size in readme

#4

by molbal - opened 10 days ago

base: refs/heads/main

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from: refs/pr/4

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README.md +1 -1

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@@ -31,7 +31,7 @@ While the Embedding model generates high-dimensional vectors for broad applicati
 - Model Type: MultiModal Rerank
 - Supported Languages: 30+ Languages
 - Supported Input Modalities: Text, images, screenshots, videos, and arbitrary multimodal combinations (e.g., text + image, text + video)
-- Number of Parameters: 2B
 - Context Length: 32k
 For more details, including benchmark evaluation, hardware requirements, and inference performance, please refer to our [blog](https://qwenlm.github.io/blog/qwen3-embedding/), [GitHub](https://github.com/QwenLM/Qwen3-VL-Embedding).

 - Model Type: MultiModal Rerank
 - Supported Languages: 30+ Languages
 - Supported Input Modalities: Text, images, screenshots, videos, and arbitrary multimodal combinations (e.g., text + image, text + video)
+- Number of Parameters: 8B
 - Context Length: 32k
 For more details, including benchmark evaluation, hardware requirements, and inference performance, please refer to our [blog](https://qwenlm.github.io/blog/qwen3-embedding/), [GitHub](https://github.com/QwenLM/Qwen3-VL-Embedding).