Image-Text-to-Text
PEFT
Safetensors
multimodal
vision-language
visual-planning
spatial-planning
rule-following
qwen2.5-vl
lora
Instructions to use Fish-03/RuleMaze with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Fish-03/RuleMaze with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
File size: 629 Bytes
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library_name: transformers
pipeline_tag: image-text-to-text
---
This repository contains the RuleMaze model checkpoint, a LoRA-fine-tuned version of Qwen2.5-VL-3B for rule-compliant visual spatial planning in multimodal large language models. The model is introduced in the paper [RuleMaze: Rule-Compliant Visual Spatial Planning for Multimodal Large Language Models](https://huggingface.co/papers/2608.20237).
For more details about the benchmark, dataset, and training pipeline, please refer to the [project page](https://fish-03.github.io/RULEMAZE/) and the [GitHub repository](https://github.com/oceanflowlab/RuleMaze). |