Unverified50% confidenceFactExact time
DeepSeek's official DSpark is essentially speculative decoding/multi-token prediction technology, requiring a drafter model and two sets of KV Cache resident in high-speed memory to achieve optimal results.
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50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
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Related Claims
UnverifiedDeepSeek open-sourced DSpark (repository name: DeepSpecs), which achieves 50% to 400% inference speedup without retraining or quantization.79% similarUnverifiedDSpark is an SGLang variant optimized for the DeepSeek series model architecture, adapted to DeepSeek's MLA (Multi-head Latent Attention) attention compression mechanism.78% similarUnverifiedDeepSeek has open-sourced the inference acceleration toolkit DSpec (also known as DeepSpec), which has its speculative decoding technology (DSPI/MTP series) built in and includes a complete GitHub repository containing model code, training scripts, and evaluation tools.75% similarUnverifiedDeepSeek, with its efficient inference via MoE architecture, and Qwen, with its complete model size matrix and permissive commercial licensing, form the domestically developed open-source camp.75% 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74% similar
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