AINewsnow

Eagle-4 Released: Faster than DFlash2 & DSpark

Insane numbers, so far only Qwen3.8-27B is supported but wow those are some good numbers. Will watch closely when this lands in llama.cpp/vLLM ### Qwen 3.8 27B Benchmark Results Method Speedup over Vanilla MTP 2.22× DSpark 2.57× DFlash 2 2.80× EAGLE-4 3.59×

Read the full story at r/LocalLLaMA ↗

Timeline · 1 report

  1. 2026-10-20 23:04 · r/LocalLLaMA
    Eagle-4 Released: Faster than DFlash2 & DSpark

More stories

  1. Qwen3.8-Flash-Next 125B Q2_0 on a 24GB M4 Mac mini: ~8.1 tok/s with Strata — r/LocalLLM
  2. Installing qwen model on my smartphone — r/LocalLLM
  3. 12GB VRAM + 16GB RAM is enough for very smart local AI with 120K+ context — r/LocalLLM
  4. Google open-sources Harness²: agents that rewrite their own harness on unseen tasks, with frozen weights and no labels — r/machinelearningnews
  5. DeepSeek V4.1 Flash is now available in Token Pass — Vercel Blog
  6. Together Post-Training: frontier-grade model shaping, the way that fits you — Together AI Blog
  7. Which Qwen model to run: versions, sizes and VRAM for 11 models — DEV Community — AI
  8. Ollama vs LM Studio vs llama.cpp vs vLLM: which to pick, and how much VRAM each needs — DEV Community — AI

Get the daily brief of stories like this at 6:30 every morning →