Realtime-Venus

Realtime-Venus is inclusionAI's streaming audio-visual interaction system. Weights sit at inclusionAI/Realtime-Venus, created 2026-09-16, Apache 2.0. The paper is arXiv:2609.13814. On 2026-09-19 Hugging Face listed 18 likes and GitHub listed 11 stars. Those counts are early heat, not traffic. r/LocalLLaMA tagged it New Model the same week.

It is from the same lab as Ling-3.0-flash. The Omni checkpoint is adapted from MiniCPM-o 4.5 with a Qwen3-8B language backbone. For a local text 27B see Qwen3.8-27B.

Key Features

• Two 9B checkpoints: Realtime-Venus-Omni (video + audio + text in, text and speech out) and Realtime-Venus-Audio (audio + text in). Both use BF16 weights and a 40,960-token context.
• Full duplex: the card says it keeps perceiving while speaking and classifies backchannels, interruptions, corrections, and redirections.
• Proactive: Omni watches aligned video and audio and can start a turn without a typed prompt.
• Delegation: in-stream <delegate> tags on the shared timeline. Running those tools needs the Realtime-Venus-Harness on GitHub, not the weight repo alone.
• Long video without extra training: archives informative moments and retrieves them at query time.

Limitation: 18 likes / 11 stars on 2026-09-19 means the runtime is new. Delegation does nothing useful without the harness. 9B BF16 is not a 6 GB ternary laptop pack.

Use Cases

• Always-on camera/mic agents that must be interrupted mid-sentence.
• Labs reproducing the paper's duplex and delegation setup.
• Skip if you only needed a text coding CLI. Use MiniMax Code.

Pricing

Getting Started

1. Open the model card and pick Omni or Audio.
2. Clone inclusionAI/Realtime-Venus if you need the harness and demos.
3. Follow install.sh / start.sh in that repo. Do not expect <delegate> to run from Transformers weights alone.
4. Read the project page for the paper figures.

First-party start: the README and arXiv:2609.13814.

Frequently Asked Questions

Is this MiniCPM-o?

The card says Omni is adapted from MiniCPM-o 4.5 / Omni-Flow, with SigLIP2 vision, Whisper-Medium audio, and Qwen3-8B text.

Can it run without a camera?

Yes. Use the Audio checkpoint.

Why so few stars?

The GitHub repo is dated 2026-09-16. Treat 11 stars as a recency signal, not a quality score.

Alternatives

• Ling-3.0-flash: inclusionAI text MoE, not duplex AV.
• Ling-3.0-flash-VL: vision-language, not full-duplex speech.
• Ternary Bonsai 2: local text 27B, not a 9B talker.

Tips

1. Load Omni only if you will pass video. Audio is smaller at inference.
2. Keep the harness next to the weights if you care about <delegate>.
3. Quote paper numbers only from arXiv, not from social posts.

Conclusion

Realtime-Venus is a 9B Apache duplex AV model for people who will run inclusionAI's harness, not a drop-in chat API. Start at the Hugging Face card, then clone the GitHub runtime if you need interruption and delegation. It is early: 18 likes is not a popularity contest you should bet a product on.