Apple Silicon LLM Inference Optimization: The Complete Guide to Maximum Performance
TL;DR: MLX is 20-87% faster than llama.cpp for generation on Apple Silicon (under 14B params). Use Ollama 0.19+ with the MLX backend for 93% faster de…
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LLM Model Names Decoded: A Developer's Guide to Parameters, Quantization & Formats
TL;DR: "B" = billions of parameters. "IT" = instruction tuned. "Q4_K_M" = 4-bit quantization, a common default. "GGUF" = the format for Ollama and loc…