Re:Introducing LFM3: Every Modality for Specialized Intellig...
by lubitelpospat on Tuesday October 27, 2026 @05:02PM
(#50265767)
Surprisingly (or maybe not?), LFM3-VL-2B gave me better results than LFM3-1.7B on text-only prompts (general knowledge, chatting) through liquid playground.
As an example, when asked “what does a cow say?”, LFM3-1.7B said that a cow can say “Oink”, and when I asked the same question to LFM3-VL-3B, it (correctly) said “moo”. I assume this is lower quant problem, though: Q8 versions I’ve played with through llama both give the correct “moo” answer.
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Re:Introducing LFM3: Every Modality for Specialized Intellig...
by samstevens on Tuesday October 27, 2026 @05:07PM
(#50265821)
quantization is always a problem; what quant were you using?
Re:Introducing LFM3: Every Modality for Specialized Intellig...
by lubitelpospat on Tuesday October 27, 2026 @08:10PM
(#50267702)
Q8_0 on my laptop, hope LiquidAI team can give some feedback on what model they offer in the playground!
Re:Introducing LFM3: Every Modality for Specialized Intellig...
by samstevens on Tuesday October 27, 2026 @09:05PM
(#50268108)
the playground is bf16 or fp8 depending on the cloud GPU for the playground. I didn't have any issues with cows saying moo but I suspect it's just LLM non-determinism :)