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Community benchmarks DFlash2 draft model for Qwen3.8-Flash-Next

10/31/2026 — 10/31, 02:18·1 sources (all)·1 reports (all)

Key takeaways

  • A LocalLLaMA user reported that llama.cpp v0.8.0 supports the DFlash2 draft model for Qwen3.8-Flash-Next. Testing with a self-quantized GGUF…

Background & analysis

On October 31, 2026, a user posted on Reddit's LocalLLaMA subreddit reporting that DFlash2, a draft model for Qwen3.8-Flash-Next released shortly before, is now supported in llama.cpp after initially lacking compatibility. The poster quantized their own GGUFs of the drafter and tested them in llama.cpp v0.8.0, the first release with DFlash2 support for FN, sharing per-task speedups and token acceptance rates alongside their methodology.

AI-generated from 1 reports · updated 8 hours ago

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Today
  1. A LocalLLaMA user reports that llama.cpp v0.8.0 now supports DFlash2 draft models for Qwen3.8-Flash-Next. In their own quantized GGUFs, code and list tasks gained roughly 18%-39% throughput, while prose throughput dropped about 3%.

    Reddit · LocalLLaMAAI score 52

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