Miau Labs / Insight
Which tokens does a hybrid model predict better?
In an attempt to shed light on the token-level behaviors of hybrid models, we recently conducted experiments comparing our strongest 7B transformer, Olmo 3, and hybrid model, Olmo Hybrid, head-to-head. Our results show that the hybrid's advantage is real across many tokens, but not all.
In an attempt to shed light on the token-level behaviors of hybrid models, we recently conducted experiments comparing our strongest 7B transformer, Olmo 3, and hybrid model, Olmo Hybrid, head-to-head. Our results show that the hybrid's advantage is real across many tokens, but not all. The hybrid model Olmo Hybrid is an interesting option for natural language processing tasks, especially in cases where precision in tokens that carry meaning is important.
In an attempt to shed light on the token-level behaviors of hybrid models, we recently conducted experiments comparing our strongest 7B transformer, Olmo 3, and hybrid model, Olmo Hybrid, head-to-head. Our results show that the hybrid's advantage is real across many tokens, but not all.
- Hybrid models, such as Olmo Hybrid, can match or beat transformers on standard benchmarks.
- Hybrid models have specific advantages over transformers, particularly in predicting tokens that carry meaning.
- Hybrid models are strongest on tokens that carry meaning, such as nouns, verbs, and adjectives, and on tokens that can only be predicted by following what's going on, like which a
Miau Labs takeThe hybrid model Olmo Hybrid is an interesting option for natural language processing tasks, especially in cases where precision in tokens that carry meaning is important.