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M5 Max 64GB · llama.cpp
User reports Gemma 4 26B at 97 tokens/s in llama.cpp on a MacBook Pro M5 Max. Setup is GGUF weights, with a prompt asking for a recursive Python Fibonacci program. With the user's Multi-Token Prediction (MTP) implementation for llama.cpp and quantized Gemma 4 assistant draft models, the same prompt runs at 138 tokens/s, which the user calls 40% faster.
On Qwen3.8 27B at 4-bit, plain single-GPU runs. Full ranking