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Let me demonstrate the true power of llama.cpp: - Running on Mac Studio M2 Ultra (3 years old) - Gemma 4 26B A4B Q8_0 (full quality) - Built-in WebUI (ships with llama.cpp) - MCP support out of the box (web-search, HF, github, etc.) - Prompt speculative decoding The result: 300t/s (realtime video)
Of course, this is a trivial example of prompt-based speculative decoding, because the model recites sections from what is already in the prompt (so don't get too excited 😉). Still it's a nice and quick showcase of some of llama.cpp capabilities
llama.cpp with it's integrated WebUI is effectively the most lightweight and self-contained agent that you can run locally. Here are a few more examples of using @huggingface MCP to search for models
