NVIDIA GPT-OSS-120B Eagle3 is an optimized version based on the OpenAI gpt-oss-120b model. It adopts the Mixture of Experts (MoE) architecture, with a total of 120 billion parameters and 5 billion active parameters. This model supports both commercial and non-commercial use and is suitable for text generation tasks, especially for the development of AI Agent systems, chatbots, and other applications.

Natural Language ProcessingSafetensors

The NVIDIA Qwen3-32B FP4 model is a quantized version of Alibaba's Qwen3-32B model. It uses an optimized Transformer architecture and performs FP4 quantization on weights and activations. It is suitable for AI applications such as AI agent systems, chatbots, and RAG systems.

Natural Language ProcessingSafetensors

The NVIDIA Qwen3-14B FP4 model is a quantized version of Alibaba's Qwen3-14B model, optimized using the FP4 data type and enabling efficient inference through TensorRT-LLM. This model is specifically designed for NVIDIA GPU acceleration systems and is suitable for various AI application scenarios such as AI Agent systems, chatbots, and RAG systems. It supports both commercial and non-commercial use globally.

Natural Language ProcessingSafetensors

The NVIDIA Qwen3-8B FP4 model is a quantized version of Alibaba's Qwen3-8B model. It is an autoregressive language model with an optimized Transformer architecture. This model uses FP4 quantization technology, which significantly reduces memory usage and computational requirements while maintaining performance. It is suitable for applications such as AI agent systems, chatbots, and RAG systems.

Natural Language ProcessingSafetensors

NVIDIA Qwen3-30B-A3B FP4 is a quantized version of Alibaba's Qwen3-30B-A3B model. It uses an optimized Transformer architecture and reduces the model size by approximately 3.3 times through FP4 quantization technology while maintaining good performance. This model supports both commercial and non-commercial use and is suitable for application scenarios such as AI agent systems, chatbots, and RAG systems.

Natural Language ProcessingSafetensors

Llama-3.1-Nemotron-Nano-4B-v1.1 is a large language model optimized based on Llama 3.1, achieving a good balance between accuracy and efficiency. It is suitable for various scenarios such as AI agents and chatbots.

Natural Language ProcessingTransformersEnglish

This is a quantized version of DeepSeek AI's DeepSeek V3-0324 model. It uses an optimized Transformer architecture and significantly reduces the model size and GPU memory requirements through FP4 quantization technology. It is suitable for various AI application scenarios such as AI agent systems and chatbots.

Natural Language ProcessingSafetensors

This is a state-of-the-art artificial intelligence security model that can detect jailbreak attempts, prompt injections, and malicious commands with an accuracy of 97.99%. The model provides excellent protection for LLMs, chatbots, and AI systems against exploitation.

Natural Language ProcessingTransformersEnglish

ConvAI-9b is a conversational AI model with 9 billion parameters, built by merging Zephyr-7b-beta and Mistral-7B-v0.2, suitable for interactive scenarios such as chatbots and virtual assistants.

Natural Language ProcessingTransformersEnglish