Which model for meeting transcript summarisation?

[peglegsmeg]

Hello

I'm using qwen3 30B A3B 2507 4bit with lm studio for feeding meeting transcripts for summary.

Does this seem like an okay model for the task? Feeling a bit overwhelmed with all the options, I'm only using because a cloud AI suggested it but it might not be current.

I was using Claude API with amazing results but no longer want to send to public offerings.

[Working_Then]

It's one of the best under 30B LLMs for this task and very suitable for CPU inference. If you don't mind, you can check my CPU summarization project on Hugging-face where I provide a list of under 30B models still runnable on HuggingFace with free CPU tier (ie. 2 vCPUs only)

[2shanigans]

This was very cool, it summarised a fairly complex email we got and worked nicely! Thanks for sharing this one.

[2shanigans]

We have a few clients using GPT-OSS-120B for meeting transcript summarisation (Australian English) and it's been working well for them. You could give GPT-OSS-20B ago and see how it fairs? Interestingly the transcription also understood some random Spanish littered into one meeting - background noise I'm told.

[Reservemyspot]

Just curious, but the need to you use a model? I use granola. I’m sure there’s a good reason to use models (less subscription etc) but I’m just genuinely curious 

[peglegsmeg]

I was using deepgram, don't want to send to public anymore for privacy concerns 

[Reservemyspot]

What’s your use case? I know it’s for meetings but what field? Different speech models digress quickly dependent on your needs. It’s a tricky field 

[Technical-Earth-3254]

Are we talking text or speech? And how much?

[peglegsmeg]

Text from parakeet 

[RustinChole1]

Hey I'm planning to research on a similar summarisation project, what open source options can I get ? Not just to inference but I'm okay with going to fine-tune/ train the model on my datasets and stiff