--- license: apache-2.0 base_model: - Qwen/Qwen2.5-7B-Instruct ---

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arXiv Paper   GitHub Project   HuggingFace Models   X Channel

## Quick Start To use this model, follow these three steps: 1. Clone [verl-agent](https://github.com/langfengQ/verl-agent). 2. Set [`actor_rollout_ref.model.path`](https://github.com/langfengQ/verl-agent/blob/35b3da38293993f9bf4f7873dfb3262a361e956c/examples/gigpo_trainer/run_webshop.sh#L30) to your local path, e.g. `your/own/path/GiGPO-Qwen2.5-7B-Instruct-ALFWorld`. 3. Ensure [`trainer.val_before_train=True`](https://github.com/langfengQ/verl-agent/blob/35b3da38293993f9bf4f7873dfb3262a361e956c/examples/gigpo_trainer/run_webshop.sh#L72), so evaluation runs before training. For more details, please refer to the [verl-agent](https://github.com/langfengQ/verl-agent). --- ## Notes `GiGPO-Qwen2.5-7B-Instruct-WebShop` is trained using [GiGPO](https://huggingface.co/papers/2505.10978) and the following prompt: ``` WEBSHOP_TEMPLATE_NO_HIS = """ You are an expert autonomous agent operating in the WebShop e‑commerce environment. Your task is to: {task_description}. Your current observation is: {current_observation}. Your admissible actions of the current situation are: [ {available_actions} ]. Now it's your turn to take one action for the current step. You should first reason step-by-step about the current situation, then think carefully which admissible action best advances the shopping goal. This reasoning process MUST be enclosed within tags. Once you've finished your reasoning, you should choose an admissible action for current step and present it within tags. """ WEBSHOP_TEMPLATE = """ You are an expert autonomous agent operating in the WebShop e‑commerce environment. Your task is to: {task_description}. Prior to this step, you have already taken {step_count} step(s). Below are the most recent {history_length} observations and the corresponding actions you took: {action_history} You are now at step {current_step} and your current observation is: {current_observation}. Your admissible actions of the current situation are: [ {available_actions} ]. Now it's your turn to take one action for the current step. You should first reason step-by-step about the current situation, then think carefully which admissible action best advances the shopping goal. This reasoning process MUST be enclosed within tags. Once you've finished your reasoning, you should choose an admissible action for current step and present it within tags. """ ```