This repository contains the Hugging Face checkpoint used by Xiaomi-Robotics-1 for VLABench evaluation. It includes the model weights, custom Transformers model and processor code, tokenizer files, and VLABench action normalization statistics. The custom model and processor must be loaded with trustremotecode=True. For the VLABench simulation environment, follow the companion source repository at evalvlabench/README.md. The evaluation client uses a separate vlabench conda environment with Python 3.10 and the pinned MuJoCo / dmcontrol dependencies described there. For reproducible multi-GPU evaluation, use the standard multi-server launcher in the companion Xiaomi-Robotics-1 source…
Open weights
apache-2.0
5.1B parameters
This repository contains the Hugging Face checkpoint used by Xiaomi-Robotics-1 for RoboCasa365 evaluation. It includes the model weights, custom Transformers model and processor code, tokenizer files, and RoboCasa365 action normalization statistics. The custom model and processor must be loaded with trustremotecode=True. For reproducible multi-GPU evaluation, use the standard eight-server launcher in the companion source repository. Use the companion Xiaomi-Robotics-1 source repository and follow evalrobocasa365/README.md. The server launcher accepts either this Hugging Face repository ID after downloading it locally or a local snapshot path. Apache License 2.0. See LICENSE.
Open weights
apache-2.0
5.1B parameters
transformers
This repository contains the post-trained Xiaomi-Robotics-1 (XR-1) checkpoint for further post-training with the Xiaomi-Robotics-1 codebase. XR-1 is a Vision-Language-Action (VLA) foundation model for mobile manipulation, initialized from a model pre-trained on over 100K hours of embodiment-free UMI trajectories and subsequently post-trained on over 10K hours of cross-embodiment data. The reference environment requires Python >= 3.9, a CUDA GPU, transformers==4.57.1, and FlashAttention 2. The Qwen3-VL backbone is loaded from Qwen/Qwen3-VL-4B-Instruct. Clone the source repository and install the dependencies: Download modelstates.pt from the Files and versions tab and place it at: Download…
Open weights
apache-2.0
This repository contains the Hugging Face checkpoint used by Xiaomi-Robotics-1 for RoboCasa evaluation. It includes the model weights, custom Transformers model and processor code, tokenizer files, and RoboCasa action normalization statistics. The custom model and processor must be loaded with trustremotecode=True. For reproducible multi-GPU evaluation, use the standard eight-server launcher in the companion source repository. Use the companion Xiaomi-Robotics-1 source repository and follow evalrobocasa/README.md. The server launcher accepts either this Hugging Face repository ID after downloading it locally or a local snapshot path. Apache License 2.0. See LICENSE.
Open weights
apache-2.0
5.1B parameters
transformers