JetSpec speeds up speculative decoding with parallel trees
A post published on July 7, 2026 describes JetSpec, which uses a single forward pass with causal conditioning to create coherent draft trees. It reports speedups of up to 9.64× on MATH-500 and 4.58× in open-ended conversations.
On July 7, 2026, a post about JetSpec presented an approach to speculative decoding: using a single forward pass with causal conditioning to create coherent draft trees in parallel. The paper explores how this parallel construction can increase the method’s speed.
According to the post, speedups reached 9.64× on MATH-500 and 4.58× in open-ended conversations. These are figures reported by the source, not a guarantee for other models or tasks. To check the scope and findings, consult the post and the original paper it cites, then verify the conditions and results described in those materials.