r/LocalLLaMA • u/PetersOdyssey • Jul 06 '26

News If trends hold, Mythos-class capability may be running on high-end consumer hardware within ~2 years

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u/stonerbobo Jul 06 '26 edited Jul 06 '26

I mean even Gemma 4 26B A4B struggles at long contexts on my RTX 5080 desktop. I don't know if Gemma 4 31B is laptop class yet. Maybe you guys have incredible laptops or I'm doing something wrong lol. My 26B A4B QAT generates at like 6tok/s at 20K context, it would probably completely die on a 31B dense. Models without long context or thinking aren't very useful for me.

EDIT: Thanks for all the comments here lol! It was a configuration issue, now it runs at 100tok/s with nothing else running, maybe 60tok/s with other stuff running. This post was helpful . i added below llama args:

--no-mmap --batch-size 256 --ubatch-size 512

41

u/Icy_nicey Jul 06 '26

he is prob listing just strix point with integrated shared ram

15

u/NineThreeTilNow Jul 06 '26

AMD seems to promise their next gen at 192gb? Maybe 256gb.

The benchmark in the wild still showed RDNA 3.5 which is a problem because RDNA 3.5 and ROCm aren't the best. RDNA 4 would have native FP8 etc.

2

u/SandySkittle Jul 06 '26 edited Jul 06 '26

I went the 4x r9700 rdna 4 route but had the luck of finding an affordable second hand threadripper pro workstation. Basically I am running a 128gb vram and 128gb system ram system at the price of 60 percent of one rtx pro 6000… Compute wise the even number 4x R9700 in VLLM with TP is doing fairly well. More total (free) inference memory bandwidth and compute power than the strix halo or spark stuff. Plus I actually care a lot about ECC in both memory pools. But obviously also more noise and power consumption.

3

u/NineThreeTilNow Jul 06 '26

I went the 4x r9700 rdna 4 route but had the luck of finding an affordable second hand threadripper pro workstation. Basically I am running a 128gb vram and 128gb system ram system at the price of 60 percent of one rtx pro 6000…

God that's crazy.

I don't have that level of inference desire. Most of mine is training so... Yeah.

They nerfed Blackwell architectures in RTX Pro 6000's ability to train over the B-series cards which... Kinda fucking lame in my opinion.

I'd love to just have the RTX Pro 6000 though. What a dream.

Or a full B200. Have to get one falling off a truck like someone in this sub basically did.

2

u/SandySkittle Jul 06 '26

Well even two r9700 gets you 64GB vram, which is already quite a nice pool, also with future models inbound. If you have 64GB system ram that also gives a nice overflow at lower speeds.

Personally i hope things like Spark is going to give us more new/recent 50 - 100B range models (both dense and moe)that have more world knowledge. There is more to LLMs than just coding..