
HybridSpec speeds hybrid language models by checking fewer draft tokens
Source published
The HybridSpec preprint reports faster language-model decoding by adapting how many proposed tokens a model checks, using early expert-routing information and more efficient recurrent-state kernels. Its strongest results concern single-request generation on three Qwen models; gains were smaller in a four-client experiment.
- HybridSpec
- speculative decoding
- Gated DeltaNet







