Troubleshooting Memory Errors in llama.cpp on Low-End Systems

[Sarah Jameson]

Many users face crashes or out-of-memory errors when running larger models with llama.cpp on laptops or older hardware. A quick fix is to adjust context size, enable quantized models, or offload layers to GPU if available. These tweaks reduce memory usage and make llama.cpp run smoothly without constant failures.