DSpark

Headlines · 2

1. 3d
   Tencent releases DSpine, a parallel speculative-decoding drafter for Qwen3-8B

   Tencent published tencent/Qwen3-8B-DSpine-b16 on Hugging Face under the Apache 2.0 license. The model card describes DSpine as a parallel drafter for speculative decoding in which, at every draft layer, each position receives the predicted feature of its predecessor so the causal chain unfolds over network depth while all positions are still drafted in parallel; its News section says inference code was released in October 2026 and the paper appeared on arXiv in September 2026. The authors self-report acceptance-length results on Qwen3-8B, saying DSpine, DSpark and DFlash2 were all retrained on Open-PerfectBlend with the same configuration, with DSpine averaging 7.83 at T=0 versus 7.55 for DFlash2, while training code and a Qwen3.8-27B version remain unchecked roadmap items.

   腾讯混元 · Hugging Face · 🔥 0
2. 6d
   vLLM Adaptive Verification works without a confidence head via online estimator

   A vLLM blog post says Adaptive Verification previously required a per-token acceptance estimate, so it only supported DSpark drafters that ship with a confidence head, leaving EAGLE, MTP, DFlash and some DSpark checkpoints unable to use the optimization. The new approach, when no confidence head exists, derives a feature from the log-odds of the drafter's most likely token and fits a lightweight logistic regression online, with one shared slope and one intercept per draft position, continuously updated from the target model's accept/reject decisions. The feature landed in PR #52228 and is enabled with enable_adaptive_verification for draft models without a confidence head, with results reported for DeepSeek-V4-Flash + DSpark and MiMo-V2.5-Pro-FP4 + DFlash.

   vLLM Blog · 🔥 0

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