Olmo Hybrid 7B

Olmo Hybrid 7B is a pretrained hybrid recurrent and attention model.

Research release

What the release provides

Three quarters of its layers use gated DeltaNet operations. Each group of three recurrent layers is followed by an attention layer. The card gives a 65,536-token context and Apache 2.0 terms.Olmo Hybrid 7B official model card

How to use it well

Practical guidance. Treat the base checkpoint as a training foundation. Compare memory use and throughput across input lengths; do not assume a recurrent design removes all attention costs.

Specifications & access

Olmo Hybrid 7B specifications
DetailValue and conditions
StatusResearch release
AccessDownloadable
Model identifiersallenai/Olmo-Hybrid-7B
Context window65,536 tokens

Pretrained checkpoint context

Olmo Hybrid 7B official model card