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008B48
008B48
Sep 17, 18:33·
We trained our @LiquidAI_ LFM2-350M model 1400x beyond "compute optimal" > Chinchilla scaling laws: ~20 tokens per param > LFM2-350M: ~28,000 tokens per param (1400x more) Why? Because Chinchilla only concerns training compute, while we care about inference cost