Add pipeline tag and sample usage

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by nielsr HF Staff - opened
Files changed (1) hide show
  1. README.md +27 -5
README.md CHANGED
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  base_model:
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  - Qwen/Qwen3.5-4B
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  license: mit
 
 
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  ---
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  # Sequential-Scaled-Solver-Qwen3.5-4B
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- [🌐 Project Page](https://recursivemas.github.io) | [πŸ’» Code](https://github.com/RecursiveMAS/RecursiveMAS) | [πŸ“„ Paper](https://arxiv.org/abs/2604.25917)
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- We introduce RecursiveMAS, a multi-agent framework that scales agent collaboration through latent-space recursion.
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- 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.
 
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  ## Model Details
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@@ -20,8 +23,27 @@ RecursiveMAS treats a multi-agent system as a unified recursive computation, whe
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  | Agent Role | Solver Agent |
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  | Base Model | Qwen3.5-4B |
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- ⚠️ **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.
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- For detailed usage instructions, please refer to our [GitHub repository](https://github.com/RecursiveMAS/RecursiveMAS).
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Model Collections for RecursiveMAS
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  base_model:
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  - Qwen/Qwen3.5-4B
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  license: mit
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+ pipeline_tag: text-generation
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+ library_name: transformers
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  ---
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  # Sequential-Scaled-Solver-Qwen3.5-4B
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+ [🌐 Project Page](https://recursivemas.github.io) | [πŸ’» Code](https://github.com/RecursiveMAS/RecursiveMAS) | [πŸ“„ Paper](https://huggingface.co/papers/2604.25917)
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+ 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.
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+
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+ 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.
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  ## Model Details
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  | Agent Role | Solver Agent |
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  | Base Model | Qwen3.5-4B |
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+ ⚠️ **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.
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+
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+ ## Usage
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+
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+ 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):
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+
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+ ```python
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+ from system_loader import load_mas_system
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+
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+ # Load the full multi-agent system for the Sequential-Scaled style
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+ mas = load_mas_system(
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+ style="sequential_scaled",
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+ device="cuda",
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+ trust_remote_code=True,
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+ )
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+
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+ # Access the individual agent models
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+ planner = mas.agents["planner"].model
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+ critic = mas.agents["critic"].model
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+ solver = mas.agents["solver"].model
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+ ```
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  ## Model Collections for RecursiveMAS
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