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Ricardo-H/BehR-WorldModel-Textworld-Qwen2.5-7B
BehR-WorldModel-Textworld-Qwen2.5-7B is a text generation model from Ricardo-H. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
A behavior-consistent text-based world model for TextWorld.
Downloads · 30 days
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From the Hugging Face model README
A behavior-consistent text-based world model for TextWorld.
| Field | Value |
|---|---|
| Base model | X1AOX1A/WorldModel-Textworld-Qwen2.5-7B |
| Base revision | b052a201ae867c3058efba17c9af9cb1635d1f09 |
| Architecture | Qwen2ForCausalLM (Qwen2.5-7B) |
| Environment | TextWorld, via AgentGym |
Given the agent-visible interaction history and the agent's next action, the model predicts the next environment observation. It can therefore act as a text simulator for agent rollouts in TextWorld.
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "Ricardo-H/BehR-WorldModel-Textworld-Qwen2.5-7B"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype="auto",
device_map="auto",
)
The paper evaluates this model on TextWorld with single-step exact match, task-success and consistency metrics. See the paper and the serving and evaluation repository for the evaluation protocol and reported results.
This model is a derivative of X1AOX1A/WorldModel-Textworld-Qwen2.5-7B at revision b052a201ae867c3058efba17c9af9cb1635d1f09, which is itself derived from Qwen2.5-7B. Use is governed by the Qwen2.5 license and by the terms of the base world model; check the base repository before redistribution or commercial use. The serving and evaluation repository is Apache-2.0; these model weights are not.
The base world model and the WebShop/TextWorld data splits originate from From Word to World: Can Large Language Models be Implicit Text-based World Models? (arXiv:2512.18832).
@article{huang2026behrwm,
title = {Beyond State Consistency: Behavior Consistency in Text-Based World Models},
author = {Huang, Youling and Chen, Guanqiao and Yao, Junchi and Wang, Lu and
Yang, Fangkai and Du, Chao and Zhao, ChenZhuo and Zhao, Pu and
Lin, Qingwei and Rajmohan, Saravan and Zhang, Dongmei},
journal = {arXiv preprint arXiv:2604.13824},
year = {2026},
url = {https://arxiv.org/abs/2604.13824}
}