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Dataset · Hugging Face

pratikgx/lfm3-1.7b-m5-pro-mac-mini-bench

LFM3-1.7B on an Apple M5 Pro Mac mini: quick speed benchmark Headline: 184 tok/s generation at 512 context, 80 tok/s at 128K context, about 3.2GB of GPU memory at 128K (Q4_K_M, llama.cpp Metal). Model by Liquid AI. All credit for LFM3 goes to them. This is an independent, launch-day measurement. Hardware Apple M5 Pro, 64GB unified memory (Mac mini) macOS 27.0.1 (26A434), on AC power, no thermal warnings recorded Engine llama.cpp built from… See the full description on the dataset page: https://huggingface.co/datasets/pratikgx/lfm3-1.7b-m5-pro-mac-mini-bench.

Author / organizationpratikgx
License (as declared)cc-by-4.0
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Created27 October 2026
Last updated at source27 October 2026
llama.cppapple-siliconbenchmarklfm3ggufmetallocal-inference
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