inclusionAI

Search, understand, reproduce, and improve an idea with ease

UI-Venus is a general-purpose foundation GUI agent for mobile apps, web platforms, and desktop operating systems using only screenshots as input.

LLaDA2.0-Uni: Understanding and Generation the World.

Ming - facilitating advanced multimodal understanding and generation capabilities built upon the Ling LLM.

An Open-Source Large-Scale Reinforcement Learning Project for Search Agents

Distributed agent coordination platform where agents live, connect, coordinate, execute, and evolve together — like an organization.

CUDA kernels for linear attention variants, written in CuTe DSL and CUTLASS C++.

Ming-3.0-tts is an open-source TTS model family with 0.5B dense and 7.9B-A1.3B MoE variants, supporting multilingual speech, voice cloning, voice design, and natural-language control.

[ICLR 2026] Taming large-scale few-step training with self-adversarial flows! 👏🏻

LLaDA2.0 is the diffusion language model series developed by InclusionAI team, Ant Group.

dInfer: An Efficient Inference Framework for Diffusion Language Models

Ming-UniAudio: Speech LLM for Joint Understanding, Generation and Editing with Unified Representation

An easy-to-use, fast toolkit to scale up RL post-training on a single node.

Standardized environment infrastructure for Agentic AI development.

Ling-V2 is a MoE LLM provided and open-sourced by InclusionAI.

Ming-omni-tts: Simple and Efficient Unified Generation of Speech, Music, and Sound with Precise Control

Ling is a MoE LLM provided and open-sourced by InclusionAI.

Easy and Efficient dLLM Fine-Tuning

Official code for Intrinsic Distribution Matching (IDM).

[ICML 2026] ZwZ model family: SOTA fine-grained perception performace; ZoomBench: a new challenging perception benchmark

A high-performance RL training-inference weight synchronization framework, designed to enable second-level parameter updates from training to inference in RL workflows

Code release for Ming-UniVision: Joint Image Understanding and Geneation with a Continuous Unified Tokenizer

A unified suite for generating elite reasoning problems and training high-performance LLMs, including pioneering attention-free architectures

Agentic Learning Powered by AWorld

Self-hosted multi-model deep research system that fuses independent research agents into evidence-grounded reports.

A NCCL extension library, designed to efficiently offload GPU memory allocated by the NCCL communication library.

Ring is a reasoning MoE LLM provided and open-sourced by InclusionAI, derived from Ling.

Ring-V2 is a reasoning MoE LLM provided and open-sourced by InclusionAI.

A high-performance kernel library for LLM training

[ICLR 2026] AudioMCQ: A 571k audio multiple-choice question dataset for post-training Large Audio Language Models with dual CoT annotations and audio-contribution filtering. 🏆 1st place in DCASE...

HeartBench is an evaluation benchmark for the psychological and social sciences field, designed to transcend traditional knowledge and reasoning assessments. It focuses on measuring large language...

A high-throughput training framework for Speculative decoding models.