DeepSeek Releases DSpark, a Speculative Decoding Framework That Accelerates DeepSeek-V4 Per-User Generation 60–85% Over MTP-1

Short summary

DeepSeek open-sourced DSpark, a speculative decoding framework that accelerates DeepSeek-V4 inference by 57–85% through parallel draft models and confidence-scheduled verification. Token acceptance improves 16–31% over existing methods like DFlash and Eagle3. Training code (DeepSpec) available under MIT for immediate integration.

• •DSpark framework speeds DeepSeek-V4 inference 57–85% over MTP-1 baseline using parallel draft models
• •Achieves 16–31% better token acceptance rates versus competing speculative decoding solutions
• •MIT-licensed training repo (DeepSpec) released for production deployment

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