LocalLLaMA

2871 readers

33 users here now

Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.

As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.

founded 2 years ago

MODERATORS

llama2.c: Inference Llama 2 in one file of pure C by Andrej Karpathy (github.com)

submitted 2 years ago by noneabove1182 to c/localllama

0 comments fedilink hide all child comments

Have you ever wanted to inference a baby Llama 2 model in pure C? No? Well, now you can!

With this code you can train the Llama 2 LLM architecture from scratch in PyTorch, then save the weights to a raw binary file, then load that into one ~simple 500-line C file (run.c) that inferences the model, simply in fp32 for now. On my cloud Linux devbox a dim 288 6-layer 6-head model (~15M params) inferences at ~100 tok/s in fp32, and about the same on my M1 MacBook Air. I was somewhat pleasantly surprised that one can run reasonably sized models (few ten million params) at highly interactive rates with an approach this simple.

https://twitter.com/karpathy/status/1683143097604243456

no comments (yet)

sorted by: hot top controversial new old

there doesn't seem to be anything here