Update README.md

README.md

@@ -31,6 +31,8 @@ This dataset enables Bee-8B to achieve exceptional performance, particularly in
   - **State-of-the-Art Open Model:** Our model, **Bee-8B**, achieves state-of-the-art performance among fully open MLLMs and is highly competitive with recent semi-open models like InternVL3.5-8B, demonstrating the power of high-quality data.
 
 ## News
+  - **[2025.12.17]** 🔥 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.
+
   - **[2025.11.03]** 📊 **[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)).
 
   - **[2025.10.20]** 🚀 **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.