Add pipeline tag, library name and sample usage
Browse filesThis PR improves the model card for the Deliberation-Toolcaller-Qwen3.5-4B model.
Key changes:
- Added `pipeline_tag: text-generation` to the YAML metadata for better discoverability.
- Added `library_name: transformers` to the YAML metadata as the model configuration indicates compatibility.
- Included a "Usage" section with a code snippet derived from the official GitHub repository to demonstrate how to load the model within the RecursiveMAS framework.
- Maintained existing links to the project page, code, and paper.
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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# Deliberation-Toolcaller-Qwen3.5-4B
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鈿狅笍 **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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| Style | Model Collection |
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primaryClass={cs.AI},
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url={https://arxiv.org/abs/2604.25917},
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}
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-
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base_model:
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- Qwen/Qwen3.5-4B
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license: mit
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library_name: transformers
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pipeline_tag: text-generation
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---
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# Deliberation-Toolcaller-Qwen3.5-4B
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鈿狅笍 **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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## Usage
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This model is intended to be used as part of the RecursiveMAS framework. You can load the deliberation system as follows:
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```python
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from system_loader import load_mas_system
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mas = load_mas_system(
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style="deliberation",
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device="cuda",
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trust_remote_code=True,
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)
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# Access the specific agents
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reflector = mas.agents["reflector"].model
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toolcaller = mas.agents["toolcaller"].model
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```
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Alternatively, you can run inference using the provided script from the repository:
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```bash
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python run.py --style deliberation --batch_size 16 --temperature 0.6 --top_p 0.95 --dataset math500 --seed 42 --trust_remote_code 1 --device cuda
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```
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## Model Collections for RecursiveMAS
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| Style | Model Collection |
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primaryClass={cs.AI},
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url={https://arxiv.org/abs/2604.25917},
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}
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```
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