--- base_model: - google/gemma-3-4b-it license: mit --- # Sequential-Scaled-Planner-Gemma3-4B [🌐 Project Page](https://recursivemas.github.io) | [💻 Code](https://github.com/RecursiveMAS/RecursiveMAS) | [📄 Paper](https://arxiv.org/abs/2604.25917) We introduce RecursiveMAS, a multi-agent framework that scales agent collaboration through latent-space recursion. RecursiveMAS treats a multi-agent system as a unified recursive computation, where heterogeneous agents iteratively exchange, refine, and evolve their latent states across recursion rounds. In the Sequential-Scaled setting, the Planner Agent is responsible for producing the initial reasoning plan, which is then passed to subsequent agents through lightweight RecursiveLink modules for further refinement and solution generation. ## Model Details | Item | Description | |---|---| | Model | Sequential-Scaled-Planner-Gemma3-4B | | Collaboration Style | Sequential-Scaled | | Agent Role | Planner Agent | | Base Model | Gemma3-4B | ⚠️ **Note:** This checkpoint is a **role-specific agent** in [**RecursiveMAS**](https://arxiv.org/abs/2604.25917), rather than a standalone model intended for plain-text generation. For detailed usage instructions, please refer to our [GitHub repository](https://github.com/RecursiveMAS/RecursiveMAS). ## Model Collections for RecursiveMAS | Style | Model Collection | |---|---| | Sequential-Style | [🤗 HuggingFace](https://huggingface.co/collections/RecursiveMAS/sequential-style-recursivemas) | | Mixture-Style | [🤗 HuggingFace](https://huggingface.co/collections/RecursiveMAS/mixture-style-recursivemas) | | Distillation-Style | [🤗 HuggingFace](https://huggingface.co/collections/RecursiveMAS/distillation-style-recursivemas) | | Deliberation-Style | [🤗 HuggingFace](https://huggingface.co/collections/RecursiveMAS/deliberation-style-recursivemas) | ## Experiment Results