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https://github.com › ... › main › deepspec › modeling › dspark
DeepSpec a full stack codebase for training and evaluating speculative decoding algorithms DeepSpec deepspec modeling dspark at main deepseek ai DeepSpec
https://huggingface.co › deepseek-ai › tree › main
We re on a journey to advance and democratize artificial intelligence through open source and open science
https://www.marktechpost.com › deepseek-releases
DeepSeek released DSpark a speculative decoding framework with open source checkpoints and training code It is a serving optimization not a new model The checkpoints
https://huggingface.co › deepseek-ai
We re on a journey to advance and democratize artificial intelligence through open source and open science
https://github.com › deepseek-ai › DeepSpec
Supported Algorithms Currently DeepSpec includes three draft models DSpark DFlash and Eagle3
https://arxiv.org › html
We extensively evaluate DSpark across both controlled offline benchmarks and production scale online deployments On controlled offline benchmarks spanning mathematical reasoning
https://codersera.com › blog
Quick answer DSpark is DeepSeek s open source speculative decoding module released June 27 2026 as part of the DeepSpec framework Attached to DeepSeek V4 Pro or V4 Flash it
https://medium.com › data-science-in-your-pocket
Instead they introduced DSpark a speculative decoding framework that makes existing DeepSeek models generate responses 60 85 faster while maintaining identical output quality
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