Typically you need about 1GB graphics RAM for each billion parameters (i.e. one byte per parameter). This is a 405B parameter model. Ouch.
Edit: you can try quantizing it. This reduces the amount of memory required per parameter to 4 bits, 2 bits or even 1 bit. As you reduce the size, the performance of the model can suffer. So in the extreme case you might be able to run this in under 64GB of graphics RAM.
So does OSM data. Everyone can download the whole earth but to serve it and provide routing/path planning at scale takes a whole other skill and resources. It's a good thing that they are willing to open source their model in the first place.
Wake me up when it works offline
"The Llama 3.1 models are available for download through Meta's own website and on Hugging Face. They both require providing contact information and agreeing to a license and an acceptable use policy, which means that Meta can technically legally pull the rug out from under your use of Llama 3.1 or its outputs at any time."
Yo this is big. In both that it is momentous, and holy shit that’s a lot of parameters. How many GB is this model?? I’d be able to run it if I had an few extra $10k bills lying around to buy the required hardware.
Kind of petty from Zuck not to roll it out in Europe due to the digital services act.. But also kind of weird since it's open source? What's stopping anyone from downloading the model and creating a web ui for Europe users?
That looks good on paper, but while I find ChatGPT good to create critical thinking, I've found Meta's products (Facebook and Instagram) to be sources of disinformation. That makes me have reservations about Meta's intentions with LLMs. As the article says, the model comes pre-trained, so it's most made up of information gathered by Meta.
Neither Meta nor anyone else is hand-curating their dataset. The fact that Facebook is full of grandparents sharing disinformation doesn't impact what's in their model.
But all LLMs are going to have accuracy issues because they're 1) trained on text written by humans who themselves are inaccurate and 2) designed to choose tokens based on probability rather than any internal logic as to whether an answer is factual.
All LLMs are full of shit. That doesn't mean they're not fun or even useful in some applications, but you shouldn't trust anything they write.