brucethemoose @ brucethemoose @lemmy.world

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1 yr. ago

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The LLM “engine” is mostly detached from the UI.

kobold.cpp is actually pretty great, and you can still use it with TabbyAPI (what you run for exllama) and the llama.cpp server.

I personally love this for writing and testing though:

https://github.com/lmg-anon/mikupad

And Open Web UI for more general usage.

There’s a big backlog of poorly documented knowledge too, heh, just ask if you’re wondering how to cram a specific model in. But the “jist” of the optimal engine rules are:

• For MoE models (like Qwen3 30B), try ik_llama.cpp, which is a fork specifically optimized for big MoEs partially offloaded to CPU.
• For Gemma 3 specifically, use the regular llama.cpp server since it seems to be the only thing supporting the sliding window attention (which makes long context easy).
• For pretty much anything else, if it’s supported by exllamav3 and you have a 3060, it's optimal to use that (via its server, which is called TabbyAPI). And you can use its quantized cache (try Q6/5) to easily get long context.

But i remember the context being memory greedy due to being a multimodal

No, it's super efficient! I can run 27B's full 128K on my 3090, easy.

But you have to use the base llama.cpp server. kobold.cpp doesn't seem to support the sliding window attention (last I checked like two weeks ago), so even a small context takes up a ton there.

And the image input part is optional. Delete the mmproj file, and it wont load.

There are all sorts of engine quirks like this, heh, it really is impossible to keep up with.

There's that one (TNG?) episode where they figured out high warp damages spacetime itself, right? So the Federation capped cruising to a safe speed.

More open models are good! Granite needs a competitor.

I do hope they try an 'exotic' architecture. It doesn't have to be novel; another bitnet or Jamba/Falcon hybrid model would be sick. Is there anywhere I can submit suggestions, heh.

343 shares

Facebook is so screwed.

Like, I didn’t think anything could kill the Behemoth, then Zuckerberg says hold my beer.

Yeah it’s basically impossible to keep up with new releases, heh.

Anyway, Gemma 12B is really popular now, and TBH much smarter than Nemo. You can grab a special “QAT” Q4_0 from Google (that works in kobold.cpp, but fits much more context with base llama.cpp) with basically the same performance as unquantized, would highly recommend that.

I'd also highly recommend trying 24B when you get the rig! It’s so much better than Nemo, even more than the size would suggest, so it should still win out even if you have to go down to 2.9 bpw, I’d wager.

Qwen3 30B A3B is also popular now, and would work on your 3770 and kobold.cpp with no changes (though there are speed gains to be had with the right framework, namely ik_llama.cpp)

One other random thing, some of kobold.cpps sampling presets are very funky with new models. I’d recommend resetting everything to off, then start with like 0.4 temp, 0.04 MinP, 0.02/1024 rep penalty and 0.4 DRY, not the crazy high temp sampling they normally use, with newer models than llama2.

I can host specific model/quantization on the kobold.cpp API to try if you want, to save tweaking time. Just ask (or PM me, as replies sometimes don’t send notifications).

Good luck with exams! No worries about response times, /c/localllama is a slow, relaxed community.

Just that the graph is leaving out salaried workers, whom I would classify as major beneficiaries of the oil industry, however that may or may not affect the statistics or any drawn conclusions.

...They don't use it over API?

Yeah and disapprove +11 (aka 54%) is the lowest poll (which I see more as +8 considering the 3% 'undecided' block). It's not even close to congressional or direction disapproval polls, and it's still around where he was last time as president.

I don't mean to sound combative, but a slight plurality of disapproval is not gonna cut the mustard.

Yes that's what I was saying, that the money handed out to workers is not part of this chart.

Like, not as a personal dog, but the overwhelming amount of people complaining about the DNC just aren’t up to date on what’s happening

Fair point! I am not up to date TBH.

I guess I'm pretty jaded too. The DNC getting things together!? What is this?

53% unfavorable is not 'in the dumpster,' unfortunately:

https://d3nkl3psvxxpe9.cloudfront.net/documents/econTabReport_haeOEK5.pdf

https://www.economist.com/interactive/trump-approval-tracker

It's better than his first term, and we re-elected him... If COVID couldn't penetrate the bubble, I honestly don't know what will.

Devil's advocate: that's not counting salaries (which would be subtracted from profits first).

The oil industry is still literally criminal and destroying the world, though.

It’s not like the sane among us are suddenly going to decide to go along with fascism

Oh you underestimate people's self interest. If Big Tech continues on it's trajectory to a kind of Theil-ish cyberpunk dystopia, most people are going to go along. Like, even I have super techy naturalized family that keeps using Google or Facebook stuff. It's (seemingly) too essential.

That's optimistic.

It's assuming the Dem Party doesn't sabotage their own candidates. It's assuming they don't campaign like it's 1960 again. It's assuming social media will somehow be reigned in.

It's assuming there will even be a fair environment for an election, instead of the government (and whoever's conflated with them) putting thumbs on the scales kinda like Hungary, or worse. It doesn't take much pressure to sway elections in environments this polarized.

We have to shout for him

We can't.

The people who need to hear it are in another bubble and never will.

TBH I dunno how to fix it anymore. Even 'revolution' like many on Lemmy fantasize about will not penetrate, and most people don't want to understand what propaganda and algos are doing to them.

Ouch. Way too close to home.

upvote

You can definitely quantize exl3s yourself; the process is vram light (albeit time intense).

What 13B are you using? FYI the old Llama2 13B models don’t use GQA, so even their relatively short 4096 context takes up a lot of vram. Newer 12Bs and 14Bs are much more efficient (and much smarter TBH).

Deported

We got some scary tools now though. We've never been able to fuck up the planet at this scale.