Olmo Hybrid - 7B open model mixing transformers and linear RNNs
Olmo Hybrid
7B open model mixing transformers and linear RNNs
Screenshots

Hunter's comment
Hybrid language models – architectures that mix transformer attention with linear recurrent layers – have been gaining momentum across the field, with recent efforts from projects like Samba, Nemotron-H, Qwen3-Next, Kimi Linear, and Qwen 3.5. By combining transformers' ability to recall precise details from earlier in a sequence with recurrent layers' efficiency at tracking evolving state, hybrids promise to be both more capable and cheaper to run at long context lengths
Link
https://allenai.org/blog/olmohybrid?ref=producthunt

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