MiMo Audio is an audio language model developed by Xiaomi, which demonstrates strong few-shot learning ability through large-scale pre-training. This model breaks through the limitations of traditional models that rely on fine-tuning for specific tasks and performs excellently in tasks such as speech intelligence and audio understanding, reaching an advanced level among open-source models.

Audio ProcessingSafetensors

MiMo Audio is an audio language model based on large-scale pre-training, achieving SOTA performance among open-source models in speech intelligence and audio understanding benchmark tests. This model demonstrates strong few-shot learning ability and can generalize to tasks not included in the training data, supporting various audio tasks such as speech conversion, style transfer, and speech editing.

Audio ProcessingSafetensors

Step-Audio 2 is an end-to-end multimodal large language model designed to meet the industry-level audio understanding and voice dialogue needs. It has advanced voice and audio understanding capabilities, intelligent voice dialogue functions, tool invocation, and multimodal retrieval enhanced generation capabilities, and has achieved leading performance in multiple audio understanding and dialogue benchmark tests.

MultimodalTransformers

OmniVinci is a large language model for full-modal understanding developed by NVIDIA. It has the capabilities of visual, text, and audio processing, as well as voice interaction, and supports multi-modal reasoning and understanding.

MultimodalTransformers

Audio Flamingo 3 is an advanced, fully open-source large audio language model that can enhance the reasoning and understanding abilities of speech, sound, and music.

MultimodalSafetensorsEnglish

VideoLLaMA2.1 is an upgraded version of VideoLLaMA2, focusing on enhancing spatiotemporal modeling and audio understanding capabilities in large video-language models.

MultimodalTransformersEnglish

VideoLLaMA 2 is a multimodal large language model focused on video understanding, equipped with spatiotemporal modeling and audio comprehension capabilities.

MultimodalTransformersEnglish

A multimodal language model based on the Llama-3 architecture, natively supporting audio and text input comprehension, focusing on enhancing large language models' understanding of audio.

MultimodalSafetensorsEnglish

Ichigo-llama3s is a large language model series that supports both audio and text input, focusing on enhancing speech understanding capabilities and user interaction experience.

MultimodalSafetensorsEnglish

VideoLLaMA 2 is a next-generation video large language model, focusing on enhancing spatiotemporal modeling and audio understanding capabilities, supporting multimodal video question answering and description tasks.

MultimodalTransformersEnglish

VideoLLaMA 2 is a multimodal large language model focused on video understanding and audio processing, capable of handling video and image inputs to generate natural language responses.

MultimodalTransformersEnglish

VideoLLaMA 2 is a multimodal large language model focused on enhancing spatio-temporal modeling and audio understanding in video comprehension.

MultimodalTransformersEnglish