| --- |
| base_model: |
| - Qwen/Qwen3.5-4B |
| license: mit |
| pipeline_tag: text-generation |
| library_name: transformers |
| --- |
| |
| # Sequential-Scaled-Solver-Qwen3.5-4B |
|
|
| [π Project Page](https://recursivemas.github.io) | [π» Code](https://github.com/RecursiveMAS/RecursiveMAS) | [π Paper](https://huggingface.co/papers/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 **Solver Agent** is responsible for producing the final response based on the planning and critique information refined through RecursiveLink modules. |
|
|
| ## Model Details |
|
|
| | Item | Description | |
| |---|---| |
| | Model | Sequential-Scaled-Solver-Qwen3.5-4B | |
| | Collaboration Style | Sequential-Scaled | |
| | Agent Role | Solver Agent | |
| | Base Model | Qwen3.5-4B | |
|
|
| β οΈ **Note:** This checkpoint is a **role-specific agent** in [**RecursiveMAS**](https://huggingface.co/papers/2604.25917), rather than a standalone model intended for plain-text generation. |
|
|
| ## Usage |
|
|
| To use this model within the RecursiveMAS framework, you can load the system using the provided system loader from the [official repository](https://github.com/RecursiveMAS/RecursiveMAS): |
|
|
| ```python |
| from system_loader import load_mas_system |
| |
| # Load the full multi-agent system for the Sequential-Scaled style |
| mas = load_mas_system( |
| style="sequential_scaled", |
| device="cuda", |
| trust_remote_code=True, |
| ) |
| |
| # Access the individual agent models |
| planner = mas.agents["planner"].model |
| critic = mas.agents["critic"].model |
| solver = mas.agents["solver"].model |
| ``` |
|
|
| ## Model Collections for RecursiveMAS |
|
|
| | Style | Model Collection | |
| |---|---| |
| | Sequential-Style | [π€ HuggingFace](https://huggingface.co/collections/RecursiveMAS/sequential-style-recursivemas) | |
| | Mixture-Style | [π€ HuggingFace](https://huggingface.co/collections/RecursiveMAS/mixture-style-recursivemas) | |
| | Distillation-Style | [π€ HuggingFace](https://huggingface.co/collections/RecursiveMAS/distillation-style-recursivemas) | |
| | Deliberation-Style | [π€ HuggingFace](https://huggingface.co/collections/RecursiveMAS/deliberation-style-recursivemas) | |
|
|
| ## Experiment Results |
|
|
| <p align="center"> |
| <img src="https://raw.githubusercontent.com/RecursiveMAS/RecursiveMAS/main/assets/hero_fig.png" width="95%" alt="RecursiveMAS Experiment Results"> |
| </p> |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{recursivemas, |
| title={Recursive Multi-Agent Systems}, |
| author={Xiyuan Yang and Jiaru Zou and Rui Pan and Ruizhong Qiu and Pan Lu and Shizhe Diao and Jindong Jiang and Hanghang Tong and Tong Zhang and Markus J. Buehler and Jingrui He and James Zou}, |
| year={2026}, |
| eprint={2604.25917}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.AI}, |
| url={https://arxiv.org/abs/2604.25917}, |
| } |
| ``` |