I worked on this release, happy to answer questions/chat about local AI vs cloud frontier models.
Is interesting how the live mode is restarting the text every 30 sec, wonder how it can impact a thing that may be agreed over several minutes. Say I would like to get action items out of an hour long recording, am I supposed to go straight from the audio with LFM3-Audio-2B? Or is it transcribe first and give the text to LFM3-1.7B? What if I want to fine-tune the action items routine. How many labelled examples do you estimate such task may need?
I am seeing the following in the reasoning trace:
> However, the instructions say I must use available tools when answering questions.
On "What animal lays the biggest egg?" with no system prompt
I assume this is something baked into the model through lots of RL with tool use?
In a few words: Why should I care about this?
What makes it cool? What should make me go "oh yeah let's go"?
From what I can see by skimming the document, I would assume "something something specialized use-cases", but what does that mean? And what does it mean assuming I have attention deficit?
Congrats for the achievement!
I'm curious if this model would be useful for OCR or at least text documents parsing (PDF, DOCX, etc.), what do you think?
Is LFM3-Omni-2B worse or roughly equal at vision tasks compared to LFM3-VL-2B?
In other words: Should I select the model that matches my desired capability set or just use Omni?