r/LocalLLaMA · · 1 min read

inclusionAI/Realtime-Venus · Hugging Face

Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.

inclusionAI/Realtime-Venus · Hugging Face

do you want some omni? here is omni for you

1. 🧭 Overview

This repository hosts two checkpoints of the Realtime-Venus system:

  • Realtime-Venus-Omni (Realtime-Venus-Omni/): the 9B audio-visual interaction model. It continuously watches and listens, decides whether and when to respond, and generates text and speech on a shared causal timeline. Adapted from MiniCPM-o 4.5, it supports proactive interaction, semantic interruption handling, and training-free long-video memory.
  • Realtime-Venus-Audio (Realtime-Venus-Audio/): the audio-focused checkpoint on the same streaming backbone, for audio understanding and audio-driven conversation with text or speech output.

Both directories contain model weights and custom Hugging Face Transformers code. The asynchronous Realtime-Venus-Harness and its external tool integrations live in the GitHub repository.

2. ✨ Highlights

  • Native full-duplex conversation: keeps perceiving while speaking and distinguishes backchannels, interruptions, corrections, and redirections.
  • Omni-Proactive interaction: continuously processes temporally aligned video and audio, and initiates a response when an event warrants it — without waiting for a user prompt.
  • Delegation: emits in-stream <delegate> requests on the shared causal timeline and consumes asynchronous backend results the same way, so external tasks never block the ongoing conversation. (Executing requests requires the Realtime-Venus-Harness runtime, available in the GitHub repository.)
  • Training-free long-video Memory: archives visually informative moments, retrieves query-relevant and non-redundant evidence, and reassembles the corresponding audio-visual context — no additional training required.
  • Text and speech output: generates response text together with native speech through the bundled Token2wav resources and a reference voice.
submitted by /u/jacek2023
[link] [comments]

Discussion (0)

Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.

Sign in →

No comments yet. Sign in and be the first to say something.

More from r/LocalLLaMA