One of the prevalent doomerist ideas about AI is that big tech will control it all in the future. Yet reality is behaving totally differently. Open-source AI seems only a few months behind big tech.
Which is why big tech is currently trying to convince world leadership that only they can be trusted to properly align powerful AI models. It’s almost time to do the ol’ ladder pull.
Corporations would love open source Ai models since it saves them the money that they’d have to pay to someone like openai.
Can this be easily self hosted?
The problem is most of these models need like a terabyte of VRAM… And consumers have about 8-24GB.
Old news pal! 😄
[4/27] Thanks to the community effort, LLaVA-13B with 4-bit quantization allows you to run on a GPU with as few as 12GB VRAM! Try it out here.
12GB of VRAM is still an upgrade away for most people and a 4bit quantized 13B model is barely going to be a tech demo. When open source ai is proclaimed to be near/on par/better then gpt4 they are talking about nothing else than their biggest models in a prime environment.
Sure, but not for standard cloud instances that are very affordable for companies wanting to get away from OpenAI.
Holy shit a terabyte?
This specific one says it’ll run on 24GB actually. But some are just crazy big.
There are smaller models that can run on most laptops.
In benchmarks this looks like it is not far off Chat-GPT 3.5.
It’s not even close, less than half of 3.5’s 85.5% in ARC. Some larger Open models are competitive in Hellaswag, TruthfulQA and MMLU but ARC is still a major struggle for small models.
3Bs are kind of pointless right now because the machines with processors capable of running them at a usable speed probably have enough memory to run a 7B anyway.
It’s a solid model but comparing to gpt4 immediately removes any credibility that they had.
