Ming-flash-omni 2.0

Ming-flash-omni 2.0 is an open-source, state-of-the-art multimodal large language model developed by inclusionAI. It leverages the Ling-2.0 architecture, a Mixture-of-Experts (MoE) framework comprising 100 billion total parameters, with 6 billion active parameters per token. This design enables efficient scaling and empowers unified multimodal intelligence across vision, speech, and language, representing a significant advancement toward Artificial General Intelligence (AGI).

Ming-flash-omni 2.0 is an open-source, state-of-the-art multimodal large language model developed by inclusionAI. It leverages the Ling-2.0 architecture, a Mixture-of-Experts (MoE) framework comprising 100 billion total parameters, with 6 billion active parameters per token. This design enables efficient scaling and empowers unified multimodal intelligence across vision, speech, and language, representing a significant advancement toward Artificial General Intelligence (AGI).

• 01Expert-level Multimodal Cognition: Accurately identifies plants, animals, cultural references, and artifacts, delivering expert-level analysis.
• 02Immersive and Controllable Unified Acoustic Synthesis: Integrates speech, audio, and music within a single channel, enabling zero-shot voice cloning and nuanced attribute control.
• 03High-Dynamic Controllable Image Generation and Manipulation: Unifies segmentation, generation, and editing, allowing for sophisticated spatiotemporal semantic decoupling.
• 04State-of-the-Art Performance: Achieves new benchmarks in contextual ASR, dialect-aware ASR, text-to-image generation, and generative segmentation.
• 05Open-Source Accessibility: Released under the MIT license, promoting transparency and community collaboration.