Z-Image is a powerful and efficient image generation model with 6 billion parameters. It can effectively solve the problems in the fields of image generation in terms of efficiency, quality, and functional diversity, providing users with high-quality image generation and editing services.

Computer VisionDiffusersEnglish

MiniMax-M2-AWQ is a quantized version based on the MiniMaxAI/MiniMax-M2 model, achieving efficient text generation through the vLLM framework. This model uses the AWQ quantization technology, significantly reducing memory usage and improving inference speed while maintaining model performance. It supports a 32K context length and tool call functionality.

Natural Language ProcessingTransformers

This is a binary classification model for software requirements based on BERT fine-tuning, specifically designed to identify and classify requirements and non-requirement texts in software requirement documents, accurately distinguishing functional requirement descriptions from other content.

Natural Language ProcessingSafetensorsEnglish

This is a random weight generation model based on the DeepSeek-V3 architecture, specifically designed for testing and development purposes. The model uses randomly initialized weights, and the parameter scale is streamlined, making it suitable for rapid prototype development and functional verification.

Natural Language ProcessingTransformers

CosyVoice2 is a model focused on text-to-speech functionality, developed based on FunAudioLLM, with a parameter scale of 0.5B.

Audio ProcessingGguf

Orpheus TTS is an advanced large speech language model based on Llama, designed to achieve high-quality and emotional text-to-speech functionality.

Audio ProcessingTransformersOther

SkyReels-V2 is a 14B-parameter text-to-video generation model that supports 720P resolution output and includes VACE functionality.

MultimodalGgufEnglish

This model is based on the Transformers library, and its specific purpose and functionality require further information to confirm.

Natural Language ProcessingTransformers

A Russian speech synthesis model fine-tuned based on F5-TTS, supporting stress marking functionality with over 5000 hours of training.

This is a model based on the Hugging Face Transformers library, optimized using Unsloth. Specific functionalities and use cases require further information.

Natural Language ProcessingTransformers

This model is based on the transformers library, and its specific purpose and functionality require further information for confirmation.

Natural Language ProcessingTransformers

This model is based on the transformers library, and its specific purpose and functionality require further information to determine.

Natural Language ProcessingTransformers

This model is based on the transformers library, and its specific purpose and functionality require further information to determine.

Natural Language ProcessingTransformers

This model is a fine-tuned BERT-uncased model for functional/non-functional requirement prediction, trained on AWS g5 instances using the PROMISE dataset and custom data, achieving an overall accuracy of 97%.

Natural Language ProcessingSafetensorsEnglish

This model is based on the transformers library, and its specific purpose and functionality require further information to determine.

Natural Language ProcessingTransformers

Qwen3 is the latest generation of large language models in the Tongyi Qianwen series, offering a complete suite of dense models and Mixture of Experts (MoE) models. Based on large-scale training, Qwen3 has achieved breakthrough progress in reasoning capabilities, instruction following, agent functionalities, and multilingual support.

Natural Language ProcessingGgufEnglish

Qwen3 is the latest version of the Tongyi Qianwen series of large language models, offering a range of dense and Mixture of Experts (MoE) models. Based on large-scale training, Qwen3 has achieved breakthrough progress in reasoning capabilities, instruction following, agent functionalities, and multilingual support.

Natural Language ProcessingGgufEnglish

Qwen3 is the latest version of the Tongyi Qianwen series of large language models, offering a complete suite of dense models and Mixture of Experts (MoE) models. Based on extensive training data, Qwen3 achieves breakthrough progress in reasoning capabilities, instruction following, agent functionalities, and multilingual support.

Natural Language ProcessingGguf

This model is based on the transformers library, and its specific purpose and functionality require further information to confirm.

Natural Language ProcessingTransformers

This model is based on the transformers library, and its specific purpose and functionality require further information to determine.

Natural Language ProcessingTransformers