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points by samstevens 2 days ago | 0 comments
unfortunately the models are still stronger without extra modalities. So LFM3-1.7B is better at pure text tasks than all other models. the LFM3-VL-2B is better at text/vision tasks than the Omni, the Audio model is a stronger ASR/TTS model than the Omni, etc.

It's a goal of ours to continue unifying training across modalities so that there is truly one model, instead of just this shared pre-trained backbone.

[–] nostrebored 2 days ago
Is it a parameter count problem? Ie why are you not seeing the cross modality bump in performance?
[–] irthomasthomas 1 day ago
Has the cross modaility bump been conclusively proven?
[–] samstevens 1 day ago
my intuition is that cross modality improvements do not really show up in practice, and especially not in small models