The only problem I really have, is context size. It's harder to get larger than 8k context size and maintain decent generation speed with 16 GB of VRAM and 16 GB of RAM. Gonna get more RAM at some point though, and hope ollama/llamacpp gets better at memory management. Hopefully the distributed running from llamaccp ends up in ollama.
I do have a local setup. Not powerful enough to run Mixtral 8x22b, but can run 8x7b (albeit quite slowly). Use it a lot.
No trying to get around anything. No funny instructions like my grandma singing a lullaby about illegal activities. Just using instructions to tell a story. Even things like having a superhero in a fight is enough to trigger this. Also doesn't explain why regen makes it continue.
Over the weekend (this past Saturday specifically), GPT-4o seems to have gone from capable and rather free for generating creative writing to not being able to generate basically anything due to alleged content policy violations. It'll just say "can't assist with that" or "can't continue." But 80% of the time, if you regenerate the response, it'll happily continue on its way.
It's like someone updated some policy configuration over the weekend and accidentally put an extra 0 in a field for censorship.
GPT-4 and GPT 3.5 seem unaffected by this, which makes it even weirder. Switching to GPT 4 will have none of the issues that 4o is having.
I noticed this happening literally in the middle of generating text.
See also: https://old.reddit.com/r/ChatGPT/comments/1droujl/ladies_gentlemen_this_is_how_annoying_kiddie/
https://old.reddit.com/r/ChatGPT/comments/1dr3axv/anyone_elses_ai_refusing_to_do_literally_anything/
Current situation: I've got a desktop with 16 GB of DDR4 RAM, a 1st gen Ryzen CPU from 2017, and an AMD RX 6800 XT GPU with 16 GB VRAM. I can 7 - 13b models extremely quickly using ollama with ROCm (19+ tokens/sec). I can run Beyonder 4x7b Q6 at around 3 tokens/second.
I want to get to a point where I can run Mixtral 8x7b at Q4 quant at an acceptable token speed (5+/sec). I can run Mixtral Q3 quant at about 2 to 3 tokens per second. Q4 takes an hour to load, and assuming I don't run out of memory, it also runs at about 2 tokens per second.
What's the easiest/cheapest way to get my system to be able to run the higher quants of Mixtral effectively? I know that I need more RAM Another 16 GB should help. Should I upgrade the CPU?
As an aside, I also have an older Nvidia GTX 970 lying around that I might be able to stick in the machine. Not sure if ollama can split across different brand GPUs yet, but I know this capability is in llama.cpp now.
Thanks for any pointers!
Even the smell of Olives causes me to gag. I absolutely cannot eat them. Olive oil is fine. But actual olives, no. Doesn't matter if they're old, new, canned, fresh. They're absolutely disgusting. One of the few foods I outright cannot and will not eat.
Lol. Git itself can act as a server over the git protocol. Might have been easier 🤪
There's plenty of git forges that aren't GitHub. Git itself has nothing to do with central servers and can theoretically be used in a completely decentralized manner.
I would think access to the training data, or at least no restrictions on what you can do with the model, would be a good definition.
Makes sense when many of the spiders in Australia are dangerous, though.
Can you link the fork? There's several and I wasn't aware that one did SMS still!
Yes, but the request was explicitly for an SMS app. But yeah anything SMS is just text. It's an outdated protocol.
But it's not SMS anymore, unfortunately
I use a Misskey fork for micro blogging and I can't even get Lemmy posts to load. The profiles of communities do, but that's it.
Ah right. What I really meant to ask was if it can do protocols other than http.
Which I don't think it can...
Are you able to tunnel ports other than 80 and 443 through Cloudflare?
I find it somewhat unclear how this works. Is it the JavaScript that loads comments on the posts, on the static site itself?
Not sure if this has been asked before or not. I tried searching and couldn't find anything. I have an issue where any pictures from startrek.website do not show up on the homepage. It seems to only affect startrek.website. Going to the link directly loads the image just fine. Is this something wrong with lemm.ee?
For the past few days, the android app has been very slow. The app itself loads fine and is responsive, but it takes many seconds to load messages, sometimes up to 30 seconds. At first I thought it was a blip, but it's been going on for a few days now. Anyone else have this problem?
Edit: clearing cache in the app settings (not system settings) fixed it.