Big day for people who use AI locally. According to benchmarks this is a big step forward to free, small LLMs.
128k token context is pretty sweet. Mistral nemo also just launched with a similar context. Good times.
I haven’t given it a very thorough testing, and I’m by no means an expert, but from the few prompts I’ve ran so far, I’d have to hand it to Nemo concerning quality.
Using openrouter.ai, I’ve also given llama3.1 405B a shot, and that seems to be at least on par with (if not better than) Claude 3.5 Sonnet, whilst being a bit cheaper as well.
At long context (close to the full 128K), Nemo is way better than llama 8B in my testing.
Turns out they are both very sensitive to quantization though.
TBH I didn’t know people here were running LLMs. Seems like most of Lemmy is very broadly anti AI?
Yeah, there’s a massive negative circlejerk going on, but mostly with parroted arguments. Being able to locally run a model with this kind of context is huge. Can’t wait for the finetunes that will result from this (*cough* NeverSleep’s *-maid models come to mind).
If forced to characterize the attitude of lemmy towards LLM/“AI,” I’d say people here are broadly interested in the tech but critical of the way it’s often used.
My impression is the general consensus is we don’t want huge corporations stealing data to train their AI models only to turn around and cram it down our throats anywhere they can with increasingly negative experiences. That being said, while I would generally agree with that, I still find it interesting and especially if I can host it myself.
