A3-Qwen3.5-9B

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A3-Qwen3.5-9B

Structured Distillation of Web Agent Capabilities Enables Generalization

Xing Han Lù, Siva Reddy

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A3-Qwen3.5-9B is a 9B multimodal web agent fine-tuned from Qwen/Qwen3.5-9B on A3-Synth, a synthetic dataset generated using the Agent-as-Annotators (A3) framework.

The model achieves 41.5% on WebArena, surpassing closed-source models such as Claude 3.5 Sonnet (36.0%) and GPT-4o (31.5%) under the same evaluation protocol.

Usage

Serve with vLLM:

vllm serve McGill-NLP/A3-Qwen3.5-9B --tensor-parallel-size 2 --max-model-len 65536 --enforce-eager --dtype bfloat16

Training

• Base model: Qwen/Qwen3.5-9B
• Data: A3-Synth (16k examples from Gemini 3 Pro trajectories)
• Method: SFT with FSDP
• Max sequence length: 16,384
• Learning rate: 1e-5
• Epochs: 2
• Batch size: 1 per GPU, gradient accumulation 4

Model Variants

Citation

@misc{lu2026structured,
      title={Structured Distillation of Web Agent Capabilities Enables Generalization}, 
      author={Xing Han Lù and Siva Reddy},
      year={2026},
      eprint={2604.07776},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2604.07776}, 
}