gh0stcassette

Please do!

Maybe, but I think people overstate this. Reddit's desktop UI and official app still confuse and upset me. Frankly the on-boarding to Lemmy is easier if anything

I would expect the big jump to come when people who are barely engaged with this whole thing try to open Apollo or Sync or whatever in a few weeks, seeing it doesn't work, then spending 5 minutes trying to use the official app before getting frustrated and googling "reddit alternative"

You can use 3.5turbo via poe.com through sillytavern for free

I use the webapps (open in mobile browser and hit add to homescreen). Each instance is a different domain, so I can have each account as a separate icon on my homescreen

What use case would that be?

I can get like 8 tokens/s running 13b models in q_3_k_L quantization on my laptop, about 2.2 for 33b, and 1.5 for 65b (I bought 64gb of RAM to be able to run larger models lol). 7B was STUPID fast because the entire model fits inside my (8gb) GPU, but 7b models mostly suck (wizard-vicuna-uncensored is decent, every other one I've tried was Not).

Adding to this: text-generation-webui (https://github.com/oobabooga/text-generation-webui) works with the latest bleeding edge llama.cpp via llama-cpp-python, and it has a nice graphical front-end. You do have a manually tell pip to install llama.cpp-python with the right compiler flags to get GPU acceleration working but the llama-cpp-python github and ooba github explain how to do this.

You can even set up GPU acceleration through metal on m1 Macs I've seen some fucking INSANE performance numbers online for the higher RAM MacBook pros (20+ tokens/sec, I think with a 33b model, but it might have been 13b, either way, impressive.)

Llama.cpp recently added CUDA acceleration for generation (previously only ingesting the prompt was GPU accelerated), and in my experience it's faster than GPTQ unless you can fit absolutely 100% of the model in VRAM. If literally a single layer is CPU offloaded, the performance in GPTQ immediately becomes like 30-40% worse than an equivalent CPU offload with llama.cpp

If you want to see what a forum site looks like without any of that stuff, look at 8kun/8chan. I don't think you realize how unusably terrible reddit would be without mods.

Before Elon, it was about half an million, now it's about 4.5 million, though about a million of the new users made an account and then immediately went back to Twitter, so it's more like 3.5 million

Yeah, it's basically like email. Though I imagine an instance like that would get defedded pretty quick

Yeah, it's a beautiful system. When all the banned Twitter Nazis moved to gab and then gab moved to Mastodon everyone immediately defedded them, it's like having a pre-curated blocklist of most of the worst people on the platform