But even if you use GoMommy extra super duper triple snake oil security checked ssl cert, if I trick LetsEncrypt to sign a key for that domain I still have a valid cert for your site.
But even if you use GoMommy extra super duper triple snake oil security checked ssl cert, if I trick LetsEncrypt to sign a key for that domain I still have a valid cert for your site.
I doubt the disk will bottleneck at 40mb/s when doing sequential write. Torrent downloads are usually heavy random writes, which is the worst you can do to a HDD.
You’re not great taking medical advice from a doctor either, seeing how often they’re wrong.
Sell them to zoomers as 3d save button coasters. $19.95 each
Llama3 8b can be run at 6gb vram, and it’s fairly competent. Gemma has a 9b I think, which would also be worth looking into.
And just to top it off, make this pythonscript a dialect of rust
Better background backups
Rework background backups to be more reliable
Hilarious for a system which main point / feature is photo backup
🫰🤙🫵👌✊🫳🫸🤲🤌
I mean, I totally agree with you. But that also kinda ignores all the useful things a dog can be trained to do.
It’s less the calculations and more about memory bandwidth. To generate a token you need to go through all the model data, and that’s usually many many gigabytes. So the time it takes to read through in memory is usually longer than the compute time. GPUs have gb’s of RAM that’s many times faster than the CPU’s ram, which is the main reason it’s faster for llm’s.
Most tpu’s don’t have much ram, and especially cheap ones.
Reasonable smart… that works preferably be a 70b model, but maybe phi3-14b or llama3 8b could work. They’re rather impressive for their size.
For just the model, if one of the small ones work, you probably need 6+ gb VRAM. If 70b you need roughly 40gb.
And then for the context. Most models are optimized for around 4k to 8k tokens. One word is roughly 3-4 tokens. The VRAM needed for the context varies a bit, but is not trivial. For 4k I’d say right half a gig to a gig of VRAM.
As you go higher context size the VRAM requirement for that start to eclipse the model VRAM cost, and you will need specialized models to handle that big context without going off the rails.
So no, you’re not loading all the notes directly, and you won’t have a smart model.
For your hardware and use case… try phi3-mini with a RAG system as a start.
I’m not saying it’s broken, but it has some design choices and functions that makes even Whatsapp a better choice for privacy minded people. Like rolling their own crypto and not having e2ee as default.
So you’re saying it’s already feature complete with most json libraries out there?
Who are you?
What do you want?
Also, I think good and bad is a bit fluid there. It’s just people with different agendas. Well, except emperor Cartagia. And perhaps Bester.
Yep, I usually make docker environments for cuda workloads because of these things. Much more reliable
Koboldcpp
I’m waiting for them to find a better spot on durability, weight /bulkiness and hardware like cameras.
They’re still too big and bulky for me, the other components are usually a bit behind, and the screen durability seems a bit too eeh still.
Which is to say, I’m interested in one, but they’re not there yet for me.
I gotta ask… were you around and actively using xmpp around that time?
Because I was. And xmpp struggling had nothing to do with Google
I still use http a lot for internal stuff running in my own network. There’s no spying there… I hope … And ssl for local network only services is a total pita.
So I really hope browsers won’t adapt https only