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

This is a regression model based on the DistilBERT architecture that can predict the Big Five personality traits (openness, conscientiousness, extraversion, agreeableness, and neuroticism) from English free text, with outputs as continuous values between 0.0 and 1.0.

Natural Language ProcessingTransformersEnglish

Hume-System2 is the pre-trained weights of System 2 for a dual-system Vision-Language-Action (VLA) model, used to accelerate the training of System 2 and provide support for relevant research and applications in the field of robotics.

MultimodalTransformersEnglish

VLAA-Thinker is an innovative vision-language model that can process both image and text inputs simultaneously and generate high-quality text outputs. This model is developed based on the research results of the paper 'SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models' and focuses on R1-like reasoning abilities.

MultimodalTransformers

VLAA-Thinker-Qwen2.5-3B is a large visual language model for reasoning similar to R1, focusing on multimodal reasoning tasks. This model has achieved state-of-the-art performance on the OpenCompass multimodal reasoning leaderboard and supports image understanding and complex reasoning abilities.

MultimodalTransformers

An audio classification model fine-tuned based on MIT/ast-finetuned-audioset-10-10-0.4593, specializing in heart sound classification tasks, achieving 96.95% accuracy on the validation set.

Audio ProcessingTransformers

CogACT is a novel advanced Vision-Language-Action (VLA) architecture derived from Vision-Language Models (VLM), specifically designed for robot manipulation.

MultimodalTransformersEnglish

CogACT is a novel advanced Vision-Language-Action (VLA) architecture derived from Vision-Language Models (VLM), specifically designed for robot manipulation.

MultimodalTransformersEnglish

CogACT is a novel Vision-Language-Action (VLA) architecture that combines vision-language models with specialized action modules for robotic manipulation tasks.

MultimodalTransformersEnglish