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McGill-NLP/A3-Qwen3.5-4B
A3-Qwen3.5-4B is a image-text-to-text model from McGill-NLP. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers.
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From the Hugging Face model README
Structured Distillation of Web Agent Capabilities Enables Generalization
</div>A3-Qwen3.5-4B is a 4B web agent fine-tuned from Qwen/Qwen3.5-4B on A3-Synth.
This model was developed using the Agent-as-Annotators (A3) framework, which structures synthetic trajectory generation for web agents by analogy to human annotation roles, replacing the Task Designer, Annotator, and Supervisor with modular LLM components. See A3-Qwen3.5-9B for full details on the framework performance and methodology.
To evaluate the model using the official framework, first install the package:
pip install agent-as-annotators
Then, you can serve the model and run evaluation:
# 1. Serve the model (e.g. using vLLM)
vllm serve --model McGill-NLP/A3-Qwen3.5-4B
# 2. Run evaluation on a benchmark
a3-eval --benchmark webarena_test --model A3-qwen3.5-4b
@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}
}