Multi-Token Prediction Speculative Verification and Draft Amortization
Parent: Local Inference Micro-Architectures: Signaling, Quantization Superblocks, and Kernel Pipeline Scheduling · Published reference · snapshot 2026-09-30
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Source-anchored research for Multi-Token Prediction Speculative Verification and Draft Amortization. Run status: COMPLETED.
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Measurements and reference values
- When speculative verification achieves an acceptance rate greater than 60%, end-to-end token generation throughput increases by 25% to 45% on memory-bandwidth-constrained devices. (high confidence) [source]
Comparisons and alternatives
- Speculative decoding amortizes parameter weight memory loading across K candidate tokens by evaluating candidate sequences as a small parallel GEMM batch instead of K sequential GEMV reads. (high confidence) [source]
Children
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