Add pipeline tag and sample usage
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by nielsr HF Staff - opened
README.md
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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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[π Project Page](https://recursivemas.github.io) | [π» Code](https://github.com/RecursiveMAS/RecursiveMAS) | [π Paper](https://
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We introduce RecursiveMAS, a multi-agent framework that scales agent collaboration through latent-space recursion.
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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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β οΈ **Note:** This checkpoint is a **role-specific agent** in [**RecursiveMAS**](https://
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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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[π Project Page](https://recursivemas.github.io) | [π» Code](https://github.com/RecursiveMAS/RecursiveMAS) | [π 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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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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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.
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## Usage
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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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```python
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from system_loader import load_mas_system
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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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# 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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