A developer tested the performance of Multi-Token Prediction (MTP) on their Mac Studio, finding that it significantly speeds up code generation for certain models while slowing down others. The EAGLE-4 speculative decoding method, which inspired the test, is not compatible with Mac hardware. The developer's findings indicate that MTP can boost generation speed by up to 92% for a 27B parameter model but can also decrease performance by 19% for a 35B MoE model, with potential changes to output text quality. AI
IMPACT MTP offers potential speedups for local LLM inference on Apple Silicon, but performance gains are model-dependent.
RANK_REASON Developer tests a technique (MTP) on local hardware, comparing it to a released but incompatible method (EAGLE-4).
- AMD Instinct MI355X
- Apple Silicon
- EAGLE-Corp
- Linux
- llama.cpp
- m1
- Mac
- Mac Studio
- Metal
- MLX
- Multi Token Prediction
- Nvidia
- NVIDIA B300
- Qwen3.8-27B
- Qwen3.8-27B-EAGLE4
- SGLang
- TokenSpeed
- vLLM
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