6 tokens per second?
Can you put up with that? As seems very slow. I aim for 40t/s on a laptop and choose models that deliver that speed over larger slower ones
6 tokens per second?
Can you put up with that? As seems very slow. I aim for 40t/s on a laptop and choose models that deliver that speed over larger slower ones
I have been putting up with it forever. We are spoiled by MixtureOfExperts. Folks were delighted to run llama3-70B at such speed. We were happy with 15-20tk/sec with 8b models, and if you could run llama3-405B at 1tk/sec you were a god. To each their own. I can live with 6 high quality tokens. If I could get a Fable equivalent model, I'll gladly take 2tk/sec if that's what it took to run it locally.
But what is it doing for you that you couldn’t do yourself at that speed? I‘m really curious and on the fence of partly going local.
Is think you would use it more like email and less like text messages, so the domain of communication shifts drastically. The other part is, you don't have to run just that model, you can offload a lot of chores to smaller models.
Not a Local LLM user, but I regularly kick off meaty jobs in Claude Code then check on them 1-2hrs later.
In this case it would be 20-40 hours to accomplish the same amount in f work when running locally
Run one task, while you do another? Or while you sleep / eat / rave?
While my colleagues are running 6 parallel agents at 50-100t/s each, with an actual SOTA model? Don’t you think I‘d get fired after a few weeks of that?
I agree single digit tk/sec is painfully slow, but I also doubt anyone with these local/homelab setups are using them for work. Likely fire off and check back later. That said, I've had terrible results one-shotting so you'd need to design with a faster model or have extreme patience during the discovery/design phase.
Do you work at Facebook and happen to find yourself in a token burning competition with your colleagues?
Why would you use this when your company has access to actual SOTA? I don't get it.
Here's a thought experiment for you. Let's say you can run 1000 agents at 10,000 tokens a second. Do you think you are going to be more productive than someone running at 6tk/sec with the same model?
Incase it's not clear, you will be generating 10,000,000 a second. Good luck verifying it. Token generation is not the bottleneck for creative work. If you are doing a predictable work and have a good workflow and massive dataset to process, then speed of token matters. If you are performing creative work like coding, it doesn't.
do you use caveman or similar?
I get a lot done with something that's also approximately 6 tokens/second, if you're willing to give it a well defined set of prompts and projects to work on, leave it for an hour or two, then come back and check what it's done. And often to remember to give it something of more consequence to do for at least 3-4 hours of wall clock runtime before heading to bed.