The author dives deep into running Llama locally with minimal dependencies, revealing surprising details often hidden behind APIs like Ollama and Hugging-Face’s transformers package. The setup involves downloading model weights and installing torch, fairscale, and blobfile. The author provides insight into the technical overview, dependencies, beam-search implementation, and performance notes on running models on various devices. Notably, the use of Apple’s GPU presents challenges and memory issues during inference. The author also highlights the efficiency and limitations of the models based on different hardware configurations. A comprehensive guide for those looking to explore Llama models with minimal setup and insightful explanations.
https://github.com/anordin95/run-llama-locally