A user benchmarked Multi-Token Prediction (MTP) on Gemma 4 31B and Qwen 3.6 27B models using vLLM and llama.cpp, achieving up to a 3.34x inference speedup. The tests, conducted on an RTX 6000 PRO GPU, revealed that vLLM performed better with Gemma 4, while llama.cpp was effective with Qwen. The optimal number of speculative tokens varied by model and engine, indicating a need for individual benchmarking. AI
IMPACT Demonstrates significant inference speedups for local LLM deployments using MTP.
RANK_REASON User benchmark of inference techniques on open-source models. [lever_c_demoted from research: ic=1 ai=1.0]
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