Go - go-llama2: Inference Llama 2 in one file of pure Go (port of llama2.c)

2023/07/26

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The article showcases a repository called "go-llama2" which is a Go port of the "llama2.c" file. This repository allows developers to train the Llama 2 LLM architecture from scratch using PyTorch and then export the weights to a binary file. The exported file can be loaded into a single 500-line C file called "run.c" to perform inferences using the trained model.

The author emphasizes the minimalism and simplicity of this "fullstack" train + inference solution for Llama 2 LLM. They mention that even small LLMs can have strong performance if the domain is narrow enough. They recommend looking at the TinyStories paper for inspiration.

The article provides instructions on how to run a sample Llama 2 model in C using the provided code. It also mentions that performance can be significantly improved by using compile flags mentioned in the Makefile.

Overall, the "go-llama2" repository offers developers a convenient way to train and perform inferences using the Llama 2 LLM architecture in Go, with a focus on simplicity and minimalism.