Find which open-weight LLMs fit in your GPU or Mac and compare the speeds people report on setups like yours.
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Exact recorded values. Context may be a configured limit; matching filters does not establish identical prompts, offloading or concurrency.
M5 Pro 48GB · llama.cpp
User compares MLX and GGUF for Qwen3.8 27B on an M5 Pro, reporting generation at about 19 t/s. Setup is llama.cpp with Metal, which the user says now matches MLX prefill at roughly 300-350 t/s. The user questions whether MLX is still needed and mentions MTP and oMLX.
On Qwen3.8 27B at 4-bit, plain single-GPU runs. Full ranking