Week 3 of LLaMA 🦙

Week 3 of LLaMA 🦙 – Replicate blog

Replicate Blog

Week 3 of LLaMA 🦙

Posted March 18, 2023 by zeke

Just three weeks ago, Meta AI released a new open-source language model called LLaMA . It is not even fully open-source – only the code has been open-sourced and the weights have not been released widely. ( Legitimately, at least. )

Even still, a ridiculous amount of stuff has been built around it.

It feels a lot like the first few weeks of Stable Diffusion . Like Stable Diffusion, LLaMA is easy to run on your own hardware, large enough to be useful, and open-source enough to be tinkered with , as Simon Willison articulated earlier this week.

Here’s just a partial list of what’s happened this week:

llama.cpp – A port of LLaMA to C/C++ by Georgi Geranov.

Large language models are having their Stable Diffusion moment – A blog post by Simon Willison summarizing some of the things that happened up to this week.

Stanford’s Alpaca – A version of LLaMA fine-tuned to follow instructions.

Stanford Alpaca, and the acceleration of on-device large language model development – A blog post by Simon Willison about Alpaca.

Running LLaMA on a Raspberry Pi by Artem Andreenko.

Running LLaMA on a Pixel 5 by Georgi Gerganov.

Run LLaMA and Alpaca with a one-liner – npx dalai llama

alpaca.cpp – llama.cpp but for Alpaca by Kevin Kwok.

Run LLaMA with Cog and Replicate

Load LLaMA models instantly by Justine Tunney.

Do the LLaMA thing, but now in Rust by setzer22.

Train and run Stanford Alpaca on your own machine from us.

Alpaca-LoRA: Low-Rank LLaMA Instruct-Tuning by Eric J. Wang.

Fine-tune LLaMA to speak like Homer Simpson from us.

Llamero – A GUI application to easily try out Facebook’s LLaMA models by Marcel Pociot.

Open source language models are clearly having a moment. We’re looking forward to seeing what happens next week.

Follow us on Twitter to follow along.

Next: Fine-tune LLaMA to speak like Homer Simpson