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README.md
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- **[2025.12.17]** π₯ We have released all data and model weights across different stages. For the final stage (RL data), you can directly merge [ViRL39K](https://huggingface.co/datasets/TIGER-Lab/ViRL39K) and [MMK12](https://huggingface.co/datasets/FanqingM/MMK12) and use the [VeRL](https://github.com/volcengine/verl) framework for training.
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- **[2025.10.20]** π **vLLM Support is Here!** Bee-8B now supports high-performance inference with [vLLM](https://github.com/vllm-project/vllm), enabling faster and more efficient deployment for production use cases.
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- **[2025.10.13]** π **Bee-8B is Released\!** Our model is now publicly available. You can download it from [Hugging Face](https://huggingface.co/collections/Open-Bee/bee-8b-68ecbf10417810d90fbd9995).
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- **[2025.12.17]** π₯ We have released all data and model weights across different stages. For the final stage (RL data), you can directly merge [ViRL39K](https://huggingface.co/datasets/TIGER-Lab/ViRL39K) and [MMK12](https://huggingface.co/datasets/FanqingM/MMK12) and use the [VeRL](https://github.com/volcengine/verl) framework for training.
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- **[2025.11.03]** π **[Honey-Data-15M](https://huggingface.co/datasets/Open-Bee/Honey-Data-15M) & [Honey-Data-1M](https://huggingface.co/datasets/Open-Bee/Honey-Data-1M) is Released\!** You can download the 15M full version and the 1M efficient version from [HuggingFace]((https://huggingface.co/collections/Open-Bee/bee-8b-68ecbf10417810d90fbd9995)).
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- **[2025.10.20]** π **vLLM Support is Here!** Bee-8B now supports high-performance inference with [vLLM](https://github.com/vllm-project/vllm), enabling faster and more efficient deployment for production use cases.
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- **[2025.10.13]** π **Bee-8B is Released\!** Our model is now publicly available. You can download it from [Hugging Face](https://huggingface.co/collections/Open-Bee/bee-8b-68ecbf10417810d90fbd9995).
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