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docs/source/policy_walloss_README.md
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# WALL-OSS
This repository contains the Hugging Face port of **WALL-OSS**, a Vision-Language-Action model for cross-embodiment robotic control based on Qwen2.5-VL with flow matching/FAST action prediction.
This repository contains the Hugging Face port of [**WALL-OSS**](https://x2robot.com/en/research/68bc2cde8497d7f238dde690), a Vision-Language-Action model for cross-embodiment robotic control based on Qwen2.5-VL with flow matching/FAST action prediction.
---
## Model Overview
| Feature | Description |
| ------------------ | ----------------------------------------------------- | --- |
| ------------------ | ----------------------------------------------------- |
| Base Model | Qwen2.5-VL (Vision-Language Model) |
| Action Prediction | Flow Matching (diffusion) or FAST (discrete tokens) |
| Architecture | Mixture of Experts (MoE) with action-specific routing | |
| Architecture | Mixture of Experts (MoE) with action-specific routing |
| Multi-Modal Inputs | Vision (images/videos), Language, Proprioception |
---
## Additional Resources
Paper: https://arxiv.org/pdf/2509.11766
Official Repository: https://github.com/X-Square-Robot/wall-x
Hugging Face: https://huggingface.co/x-square-robot
---
## Citation
If you use this work, please cite:
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## License
This port follows the **Apache 2.0 License**.
This model follows the **Apache 2.0 License**, consistent with the original [WallX repository](https://github.com/X-Square-Robot/wall-x).
src/lerobot/policies/wall_x/modeling_wall_x.py
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config_class = WallXConfig
name = "wall_x"
def __init__(self, config: WallXConfig):
def __init__(self, config: WallXConfig, **kwargs):
super().__init__(config)
config.validate_features()
self.config = config