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DeepSeek DSpark speculative decoding framework
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DeepSeek open-sourced DSpark, a speculative decoding framework that accelerates DeepSeek-V4 inference by 57–85% in production through a parallel draft backbone paired with a lightweight Markov head and confidence-scheduled verification. The framework achieves 16–31% higher accepted token length offline compared to existing methods like DFlash and Eagle3, with lossless generation quality.
- Pairs parallel draft backbone with lightweight Markov head to reduce suffix decay
- Confidence-scheduled verification adapts token verification count to real-time GPU load
- Offline: 16–31% improvement in accepted length vs. DFlash and Eagle3
- Production: 57–85% per-user generation speedup over MTP-1 baseline
- Training repo DeepSpec released under MIT license