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Tencent releases DSpine draft model for Qwen3.8-27B

Original title: tencent/Qwen3.8-27B-DSpine-b16 — new model trending #30 on Hugging Face

Hugging Face trending modelsby tencent ()4 min read
Part of a story covered by 4 sourcesNous Research releases Arete-27B, cutting Qwen propaganda to 0.9%Merged summary & timeline
AI summary · x-ai/grok-4.7Summaries by Vani AI

The five-layer checkpoint uses block size 16 and an 8,192-token window and is trending at number 30.

Tencent published tencent/Qwen3.8-27B-DSpine-b16, a five-layer draft model that generates tokens in parallel for Qwen3.8-27B. The card reports higher acceptance lengths than DFlash2 on GSM8K, MATH-500, HumanEval, MBPP, MT-Bench, and several agent benchmarks under SGLang 0.5.22. Throughput figures versus autoregressive decoding are only partly shown.

Unconfirmed: Acceptance and speedup figures are the project's own measurements, and the throughput table is truncated.

Key facts
  • Draft block size is 16, compared with DFlash2 block size 8.
  • GSM8K greedy acceptance length is 7.20 for DSpine versus 5.69 for DFlash2.
  • Runtime listed is SGLang 0.5.22, BF16, FlashAttention 3, concurrency 8.
  • Agent tests allow up to 32,768 new tokens per request.
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From the original article

4 min read at huggingface.co

text-generation · 1,464 downloads · 143 likes · license apache-2. 0

Hugging Face trending models

By tencent · huggingface.co

Read the full article at Hugging Face trending models

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.