inclusionAI/Duo-1.0-causal-base
inclusionAI/Duo-1.0-causal-base
inclusionAI releases Duo 1.0 causal-base model, a full-duplex multimodal world model for real-time audio-video interaction, including implementation weights and backbones, intent models and adapters, audio-video encoders, speech recognizers, and forced aligners. The model weights are based on MiniMax H3 initialization and are open-sourced.
Duo-1.0-causal-base
A Reciprocal World Model for Full-Duplex Interaction
Model Overview
Duo is a full-duplex multimodal world model for real-time audio-visual interaction. This repository contains the Duo 1.0 causal-base model weights.
| Field | Value |
|---|---|
| Version | Duo 1.0 |
| Variant | Causal base |
| Package | Complete model bundle |
| Realization format | PyTorch Distributed Checkpoint (DCP) |
| Default sampler | Euler, 50 steps, flow shift 1.0 |
Package Contents
The bundle contains the Realization weights and backbone, Intent model and adapter, video and audio codecs, speech recognizer, and forced aligner. Runtime integrations can use realization/complete.json to identify the packaged model family and weight format.
Download
hf download inclusionAI/Duo-1.0-causal-base --local-dir weights
For code, configuration, and runtime-specific integration instructions, see inclusionAI/Duo.
License
These weights were initialized from MiniMax H3 and subsequently trained by the Duo team. See LICENSE and NOTICE for the applicable terms.
Source: Ant Group inclusionAI · Hugging Face new models · huggingface.co