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What about HuggingFace? It has basically everything. Kimi-k2-thinking is available along with a config and modeling class which seems to support and implement the model. The HuggingFace model info doesn’t say whether training is supported, but HuggingFace’s Transformers library supports models in the same architecture family, such as DeepSeek-V3. The fundamentals seem to be there; we might need some small changes, but how hard can it be?
By using joint RL, the model achieves a balance between visual and programming capabilities. This is particularly relevant for GUI Agents—AI systems that must “see” a graphical user interface and then generate the code or commands necessary to interact with it.。业内人士推荐whatsapp网页版作为进阶阅读
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