ru-en-RoSBERTa is a model that performs excellently in multilingual tasks. Based on the RoBERTa architecture, it is specifically optimized for Russian and English tasks. This model has been comprehensively tested on various natural language processing tasks, including classification, clustering, re-ranking, and retrieval, demonstrating strong cross-lingual understanding ability.

Natural Language ProcessingSentence-transformersMultiple Languages

Qwen3-4B-SafeRL is a safety-aligned version of the Qwen3-4B model. It enhances the model's robustness against harmful or adversarial prompts through reinforcement learning training. This version uses a hybrid reward function for optimization, balancing three objectives: safety, usefulness, and minimizing unnecessary rejections.

Natural Language ProcessingTransformersEnglish

Qwen3-4B-SafeRL is a safety-aligned version based on the Qwen3-4B model. It is trained through reinforcement learning and combined with the reward signals of Qwen3Guard-Gen, enhancing the model's robustness against harmful or adversarial prompts. While ensuring safety, it avoids overly simple or evasive rejection behaviors.

Natural Language ProcessingTransformers

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

SmolVLA is a compact and efficient vision-language-action model that can achieve competitive performance while reducing computational costs and can be deployed on consumer-grade hardware. This model is trained using LeRobot and is specifically designed for robotics applications.

MultimodalSafetensors

Instinct is the most advanced open next-editing model launched by Continue. Based on the Qwen2.5-Coder-7B model, it has been robustly fine-tuned on real-world code editing datasets and can intelligently predict the developer's next operation.

Natural Language ProcessingTransformers

SmolVLA is a compact and efficient vision-language-action model that can maintain competitive performance while reducing computational costs and is suitable for deployment on consumer-grade hardware. This model is trained using the LeRobot framework and is specifically optimized for robotics tasks.

MultimodalSafetensors

SmolVLA is a compact and efficient vision-language-action model that can achieve competitive performance while reducing computational costs and can be deployed on consumer-grade hardware. This model is trained using the LeRobot framework and is specifically designed for robotics applications.

MultimodalSafetensors

OmniNeural is the world's first full multimodal model specifically designed for neural processing units (NPUs). It can natively understand text, images, and audio, and can run on various devices such as PCs, mobile devices, cars, the Internet of Things, and robots.

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

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 based on the Qwen2.5 - 7B language model and the SigLip2 visual backbone network, and is trained on 93 unique operation tasks in home and desktop environments, with leading visual - language - action reasoning performance.

MultimodalTransformersEnglish

This is a vulnerability classification model fine-tuned based on RoBERTa-base, specifically designed for the CWE (Common Weakness Enumeration) parent vulnerability classification task. It achieved an accuracy of 87.5% and an F1 macro value of 0.6248 on the evaluation set, providing effective support for software security vulnerability analysis.

Natural Language ProcessingTransformers

A visual motion control model based on the diffusion strategy, which treats robot control as a generative diffusion process and can generate smooth multi-step action trajectories. It performs excellently in rich contact operation tasks.

Computer VisionSafetensors

CompassJudger-2 is a series of brand-new general evaluation models designed to overcome the problems of narrow professionalism and limited robustness in existing large language model evaluation solutions.

Natural Language ProcessingTransformers

Roblox Guard 1.0 is a state-of-the-art instruction fine-tuned large language model based on Llama-3.1-8B-Instruct, specifically designed to protect the security of text generation APIs. It can perform two-level security classification at the prompt and response levels, effectively reviewing user queries and model outputs to ensure that the content complies with security policies.

Natural Language ProcessingPeftEnglish

RoboBrain2.0-7B is a powerful model designed specifically for the robotics field, with significant improvements in multi-agent task planning, spatial reasoning, and closed-loop execution.

MultimodalTransformers

Hume-Libero_Object is a dual-system vision-language-action model trained on the Libero-Object dataset. It has System 2 thinking ability and is suitable for research and applications in the field of robotics.

MultimodalTransformersEnglish

A robot strategy model trained based on LeRobot for the task of picking up the power gem.

MultimodalSafetensors