Grok AI source code and weights

Submit
github.com

Grok AI source code and weights

AI summary of the linked article

This repository provides JAX example code for loading and running Grok-1, an open-weights model, with its weights available via torrent or the HuggingFace Hub. The model has 314B parameters and uses a Mixture of 8 Experts architecture with 2 experts used per token, 64 layers, and a maximum context of 8,192 tokens. The text notes that the MoE implementation is not efficient and was chosen to avoid custom kernels when validating model correctness, and that testing requires a machine with substantial GPU memory. The code and weights are licensed under Apache 2.0.

avatar
I know other people have said this too, but it is true: that model's source code is remarkably lean considering the complexity the tool can handle. This is really cool!
avatar
I like that there's pressure to be any degree more transparent. Grok is a sparse model, only 8-bit precision weights, but even this is more information than what GPT-4 has presented. I'd love to see the performance after tacking on the Hermes function-calling ( https://github.com/NousResearch/Hermes-Function-Calling ).

gotta stock up on popcorn, though, because who knows what releases in the coming weeks.