Unleashing Llama's Potential: CPU-based Fine-tuning

Llama, a small open-source language model, can run efficiently on CPUs. It has two phases: compute-intensive prefill and memory-intensive decoding. Optimizing for hardware, pinning instances, and managing memory usage are crucial for performance. Key metrics include time to first token, latency, and throughput. Proper deployment models maximize efficiency.