Michele LaurelliBlog

llama.cpp

llama.cpp: A runtime optimized for running language models locally on CPUs and supported accelerators. It uses GGUF and implements low-dependency inference for private deployments and personal devices. Performance and quality depend on quantization, memory and backend. Examples include Offline LLM on a laptop, Local OpenAI-compatible server, Metal inference.

In italiano: llama.cppLegge IV · Loss, gradiente e ottimizzatori

It uses GGUF and implements low-dependency inference for private deployments and personal devices. Performance and quality depend on quantization, memory and backend.

Examples

  • Offline LLM on a laptop
  • Local OpenAI-compatible server
  • Metal inference

Further reading

Building Private AI Systems: Why On-Premise Solutions Matter