Expired50% confidenceBenchmarkExact time
DSpark has completed a comprehensive benchmark comparison against EAGLE-3 and DeepFlash, the two leading speculative decoding techniques, in authoritative offline benchmark tests.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/17/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/15/2026(expired)
Sources
Related Claims
UnverifiedDSpark is benchmarked against two speculative decoding technologies, EAGLE-3 and DeepFlash, with testing covering the full Qwen3 series from Tongyi Qianwen (4B/8B/14B) and Google's Gemma 12B.84% similarUnverifiedDeepSpec has three built-in algorithms: a confidence scheduling algorithm independently developed by DeepSeek, a DeepFlash fast diffusion scheme under the MIT license, and the EAGLE-3 multi-candidate exploration scheme from the SGLang team72% similarUnverifiedDSpark is an SGLang variant optimized for the DeepSeek series model architecture, adapted to DeepSeek's MLA (Multi-head Latent Attention) attention compression mechanism.70% similarUnverifiedThe DeepSeek series model (DS4) adopts a mixed-precision quantization strategy, using MXFP4 format for MoE layers and FP8 format for most other layers67% similarUnverifiedDeepSeek的DSpark算法针对其MLA（Multi-head Latent Attention）架构特点进行了工程优化，设计了专用草稿策略以获得更高的Token接受率66% similar
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