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The author advocates for ExLlamaV3, an underrated local AI inference tool that outperforms llama.cpp on NVIDIA hardware, with recent updates like CPU MoE offload enhancing its performance.
A user benchmarks exllamav3 against llama.cpp for CPU-offloaded inference, showing exllamav3 is faster for Qwen models but slower for others, depending on hardware and model architecture.
Ported the EXL3 LLM codec to run on Apple Silicon via Metal, achieving high prefill and generation speeds on M5 Max (e.g., ~600 tok/s prefill, 17-80 tok/s gen on various models).
An overview of popular open-source inference engines including vLLM, SGLang, llama.cpp, and ExLlamaV3 for hosting and running large language models.