VLA-Adapter is a micro vision-language-action model trained on Libero-Spatial. It adopts the Prismatic-VLM architecture and only uses Qwen2.5-0.5B as the large language model backbone. This model outperforms open-source VLA models with larger parameter scales in robot benchmarks, achieving high-performance vision-language-action understanding and execution.

MultimodalSafetensorsEnglish

MolmoAct is an open-source robot operation action reasoning model developed by the Allen Institute for Artificial Intelligence. It is built on the Qwen2.5-7B and SigLip2 visual backbone networks and is specifically optimized for single-arm Franka robot operation tasks in home and desktop environments.

MultimodalTransformersEnglish

MolmoAct is a fully open-source robot operation action reasoning model developed by the Allen Institute for Artificial Intelligence. It is built based on the Qwen2.5-7B and SigLip2 visual backbone networks and is specifically designed for robot operation tasks in home and desktop environments.

MultimodalTransformersEnglish

MolmoAct is an open-source action reasoning model developed by the Allen Institute for Artificial Intelligence, specifically designed for robot operation tasks. This model is built on Qwen2.5-7B and SigLip2, and is trained on 93 operation tasks in home and desktop environments, with leading vision-language-action processing capabilities.

MultimodalTransformersEnglish

Nora is an open-source vision-language-action model trained on Qwen 2.5 VL - 3B, capable of generating robot actions based on language instructions and camera images.

MultimodalTransformers

NVIDIA Isaac GR00T N1 is the world's first open-source foundational model for general humanoid robot reasoning and skills, with a scale of 2 billion parameters.

MultimodalSafetensors

LLaRA is an open-source visual motion strategy model, fine-tuned from LLaVA-7b-v1.5 on instruction-following data and auxiliary datasets, primarily used for robotics research.

MultimodalTransformers

OpenVLA 7B is an open-source vision-language-action model trained on the Open X-Embodiment dataset, capable of generating robot actions based on language instructions and camera images.

MultimodalTransformersEnglish

OpenVLA v0.1 7B is an open-source vision-language-action model trained on the Open X-Embodiment dataset, supporting various robot controls.

MultimodalTransformersEnglish

LLaVA-Next-Video is an open-source multimodal dialogue robot, fine-tuned from a large language model, supporting multimodal interaction with video and text.

MultimodalTransformers