This is a Dutch patient simulation model fine-tuned based on Google's Gemma 2 9B model, specifically designed for medical education scenarios. The model always responds in a fixed JSON structure, simulating a patient 'Maria' who has just completed surgery and is in the recovery process, supporting nursing students to exercise communication and clinical reasoning skills in a safe environment.

Natural Language ProcessingGgufOther

This is a 32B parameter reward model developed by NVIDIA based on the Qwen3 architecture. It is specifically used for reward scoring and principle alignment in reinforcement learning, helping to train AI systems that are safer and more in line with human values.

Natural Language ProcessingGguf

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

This is a LoRA model trained based on the AI Toolkit by Ostris, specifically designed for text-to-video conversion tasks. The model uses the Safetensors format and supports use on multiple platforms such as ComfyUI and AUTOMATIC1111.

MultimodalDiffusers

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

A target detection model based on YOLO11, specifically designed for construction site safety monitoring. It can detect various safety hazards such as workers not wearing safety equipment, intrusion into dangerous areas, and equipment approaching hazard sources.

Computer VisionOnnxEnglish

M-Hood is a series of models specifically designed to mitigate the hallucination phenomenon in object detection. Through novel fine-tuning strategies and a revised benchmark dataset, it significantly reduces false alarms on out-of-distribution data and enhances the safety and reliability of object detection systems.

Computer VisionPytorch

Owlet Safety 1 is a multi-label safety event detection model fine-tuned based on Qwen2.5-VL-3B-Instruct. It is specifically designed for safety activity recognition in video surveillance and can simultaneously detect multiple safety-related events such as fires, smoke, falls, and assaults.

MultimodalTransformers

LORA is a fine-tuned version of the Mistral Small 24B Instruct model, optimized for child-friendly language generation in educational scenarios. It focuses on providing safe, age-appropriate, and engaging storytelling services for children aged 6 to 12.

Natural Language ProcessingTransformersGerman

DMind-1 is a Web3 expert model built upon Qwen3-32B, optimized for the Web3 ecosystem through supervised instruction fine-tuning and human feedback reinforcement learning, achieving significant improvements in task accuracy, content safety, and expert-level interaction alignment.

Natural Language ProcessingTransformersMultiple Languages

QwenGuard is a visual security protection model capable of evaluating images based on provided security policies, outputting safety ratings, safety categories, and evaluation rationale.

MultimodalTransformers

QwenGuard-v1.2-3B is a visual security protection model developed based on Qwen/Qwen2.5-VL-3B-Instruct, designed for assessing the safety of image content.

MultimodalTransformers

A pre-trained language model that integrates multiple 70B-parameter-scale models, based on the 'Forgotten Safe Word' foundation model, featuring an unrestrained style and a tendency for novel/story writing.

Natural Language ProcessingTransformers

This model is specifically fine-tuned for NSFW image classification, categorizing content into three safety-critical classes, suitable for content moderation, safety filtering, and compliant content processing systems.

Computer VisionTransformersEnglish

Flex.2-preview is a text-to-image model offering multiple quantized versions, supporting Safetensors and GGUF formats.

Computer VisionGguf

Llama Guard 4 is a native multimodal safety classifier with 12 billion parameters, jointly trained on text and multiple images for content safety evaluation of large language model inputs and outputs.

MultimodalTransformersEnglish

This is a reinforcement learning model based on the PPO algorithm, specifically trained for the LunarLander-v2 environment to safely control lunar landings.

Scientific ComputingStable-baselines3

Beaver-7B-v3.0 is a 7B-parameter large language model based on the LLaMA architecture, focusing on safety and human feedback reinforcement learning (RLHF).

Natural Language ProcessingGgufEnglish

A medical text safety and ethics classifier based on the ModernBERT architecture, specifically designed for evaluating text safety in the medical field

Natural Language ProcessingSafetensorsEnglish

ShieldGemma 2 is a model trained on Gemma 3's 4-billion-parameter IT checkpoint for cross-critical-category image safety classification, receiving images and outputting policy-compliant safety labels.

MultimodalTransformers