Ming-flash-omni 2.0

Ming-flash-omni 2.0 is an advanced multimodal foundation model developed by inclusionAI, leveraging a sparser Mixture-of-Experts (MoE) variant of Ling-Flash-2.0 with 100 billion total parameters, of which only 6.1 billion are active per token. This architecture 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 advanced multimodal foundation model developed by inclusionAI, leveraging a sparser Mixture-of-Experts (MoE) variant of Ling-Flash-2.0 with 100 billion total parameters, of which only 6.1 billion are active per token. This architecture 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 and animals, recognizes cultural references, and delivers expert-level analysis of artifacts.
• 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 records on all 12 contextual ASR benchmarks and excels in text-to-image generation and generative segmentation.
• 05Open-Source Availability: Released under the MIT license, promoting accessibility and collaboration within the AI community.