Comment by sosodev
4 days ago
Does Qwen3-Omni support real-time conversation like GPT-4o? Looking at their documentation it doesn't seem like it does.
Are there any open weight models that do? Not talking about speech to text -> LLM -> text to speech btw I mean a real voice <-> language model.
edit:
It does support real-time conversation! Has anybody here gotten that to work on local hardware? I'm particularly curious if anybody has run it with a non-nvidia setup.
From what I can tell, their official chat site doesn't have a native audio -> audio model yet. I like to test this through homophones (e.g. record and record) and asking it to change its pitch or produce sounds.
“record and record”, if you mean the verb for persisting something and the noun for the thing persisted, are heteronyms (homographs which are not homophones), which incidentally is also what you would probably want to test what you are talking about here (distinguishing homophones would test use of context to understand meaning, but wouldn’t test anything about whether or not logic was working directly on audio or only working on text processed from audio, failing to distinguish heteronyms is suggestive of processing occurring on text, not audio directly.)
There are homophones of “record”, such as:
“He’s on record saying he broke the record for spinning a record.”
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Ah I meant heteronyms. Thanks!
Huh, you're right. I tried your test and it clearly can't understand the difference between homophones. That seems to imply they're using some sort of TTS mechanism. Which is really weird because Qwen3-Omni claims to support direct audio input into the model. Maybe it's a cost saving measure?
Weirdly, I just tried it again and it seems to understand the difference between record and record just fine. Perhaps if there's heavy demand for voice chat, like after a new release, they load shed by using TTS to a smaller model.
However, It still doesn't seem capable of producing any of the sounds, like laughter, that I would expect from a native voice model.
To be fair, discerning heteronyms might just be a gap in its training.
Is record a homophone? At least in the UK we use different pronunciations for the meanings. Re-cord for the verb, rec-ord for the noun.
I was mistaken about what homophone means!
None of inference frameworks (vLLM/SGLang) supports the full model, let alone non-nvidia.
We actually deployed working speech to speech inference that builds on top of vLLM as the backbone. The main thing was to support the "Talker" module, which is currently not supported on the qwen3-omni branch for vLLM.
Check it out here: https://models.hathora.dev/model/qwen3-omni
Is your work open source?
Nice work. Are you working on streaming input/output?
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That's unfortunate but not too surprising. This type of model is very new to the local hosting space.
Makes sense, I think streaming audio->audio inference is a relatively big lift.
Correct, it's breaks the single prompt, single completion assumption baked into the frameworks. Conceptually it's still prompt/completion but for low latency response you have to do streaming KV cache prefill with a websocket server.
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That's exciting. I doubt there are any polished voice chat local apps yet that you can easily plug this into (I doubt the user experience is "there" yet). Even stuff like Silly Tavern is near unusable, lots of work to be done on the local front. Local voice models are what's going to enable that whole Minority Report workflow soon enough (especially if commands and intent are determined at the local level, and the meat of the prompt is handled by a larger remote model).
This is part of programming that I think is the new field. There will be tons of work for those that can build the new workflows which will need to be primarily natural language driven.
I did find this app: https://github.com/gabber-dev/gabber
The creator posted a little demo of it working with Qwen3 Omni that is quite impressive: https://www.youtube.com/watch?v=5DBFVe3cLto
He didn't include any details regarding how the model was running though
it seems to be able to do native speech-speech
It does for sure. I did some more digging and it does real-time too. That's fascinating.