AINewsnow

MTP in Practice: Benchmarking Gemma's Speculative Decoding on a Real GPU

This story is from 2026-09-11. It is preserved in the archive; the latest stories are on the live feed.

In the concept edition, we saw that MTP (Multi-Token Prediction) lets a model predict several tokens ahead to speed up generation, and that Qwen and Gemma implement this in completely different ways. The theory makes sense, but how much faster does this actually make things in practice? That's what…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-09-11 10:06 · DEV Community — Machine Learning
    MTP in Practice: Benchmarking Gemma's Speculative Decoding on a Real GPU

More stories

  1. Alibaba ships Qwen3.8-Omni-Flash to watch, listen and call tools — r/LocalLLM
  2. Qwen 3.8 27B Running for 63 hours on a RTX 3090 to solve the Riemann hypothesis — r/LocalLLM
  3. US government website used Chinese model the FBI called "malicious" — Ars Technica AI
  4. Deployed Qwen 3.6 35B A3B on a single DGX Spark supporting 12 concurrent users at 262K context. Are there better ways to optimize this? — r/LocalLLM
  5. Qwen Developers on X: "Qwen-Image 2.1 is going open source" — r/StableDiffusion
  6. Ternary Bonsai 2 27B — r/LocalLLaMA
  7. 10 hours left fo Qwen Image 2.1 Public Open Source Release — r/comfyui
  8. M2 Mac ultra128gb Qwen flash next — r/LocalLLM

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