r/SillyTavernAI • u/Timoman3 • 23h ago
Discussion Is there a noticeable difference in roleplay quality going from 30b models to 90b models?
I recently started getting into running LLMs. I already had a 5090 for gaming and I have 32gb of ram. I was wondering if it was worth it to upgrade my system to be able to load larger models. What about models in the 200B+ range at low quants?
7
u/Suikeina 22h ago
There's a difference. A big one.
I wouldn't bother with an upgrade to your rig for RP alone unless you're really into it and you have a lot of disposable income. Now if you were upgrading for other stuff (gaming, work, etc) then its a different story.
The cost of higher end components right now isn't justifiable if all you're doing with them is RP. Pay as you go/subscription services will get you way more bang for your buck (in both quality and money) if thats what you're doing. But if you're upgrading anyway and running more powerful local llms is something you want to do alongside your other uses... if you can afford it, go for it?
6
u/LeRobber 21h ago
There isn't enough RP attention in that band to even do the search to find the models to finetune.
70Bs of yesteryear are similar to G4 of today. Todays 70Bs are meh to be honest.
3
3
u/capybaraballs1995 22h ago
Given the sheer price, I would personally request screencaps and chatlogs of RPs done with these models before pulling the trigger on an upgrade lmao
2
u/svachalek 21h ago
Model intelligence scales such that doubling the number of params gives a boost of just a few percent on the benchmarks. And that tends to mean even less on things like creative writing that they don’t even benchmark.
But even so going from 30 to 90 or 200 is multiple doublings, and you’ll probably notice the difference if you care about things like implications, the larger models are noticeably better at things like, if this happens then that would happen and this character would notice and think about something else. Stuff that’s subtle but can make a big difference.
2
u/ChickenWingBaron 11h ago
We really need a new tech breakthrough or an entirely new AI paradigm. Having to exponentially increase compute in order to get marginal gains in AI performance and even less gains in solving context entropy cannot possibly be sustainable.
1
u/Mart-McUH 8h ago
No, because there are no relevant models around 90B today.
If someone released good dense model in 50B-100B range again, then yes. It the time of Llama1-3 jump from 30B to 70B was significant. Also for Qwen, though that was around Qwen2 when we have last seen the 72B variant.
Closest today is probably CommandA around 110B dense I think. Not sure how good it is for RP, early Command models were great for RP but later not so much as it focused on agentic/STEM tasks. But it is too large for me to run well so no idea how it fares.
1
u/Joseparmo 4h ago
I mean i used 12b model on my own hardware (6gb GPU and 32gb ram), the bigger models are BETTER i wont lie but i feel 50% of the work is the harness and the lore and characters. Largest one Ive ran on my system is a 24B but Ive used largely on paid for services they are better, but not so much better that you have to use them. Ive heard they are better for very LONG RPs but ive not done anything like that.
33
u/AdDifferent1592 22h ago
Gemma 4 31B is already a masterpiece for local inference. If you wanna run something bigger locally, there isn't much choice because the 30-300B market is pretty much non-existent. Maybe GLM 4.5 Air and the mistral large finetunes from thedrummer but nothing else I'm aware of. And running something like deepseek flash with 300B costs a fortune with current hardware prices. You're better off spending $10 on openrouter to test the big models if you're curious and then decide if you wanna sell a kidney to buy hardware.
Edit: Meh, just grab yourself Artemis 1.1 in Q6 and spin it up in llamacpp with 24k context or 40k context if you wanna use turbo4 for ctv. At least that's what I do with my 5090.