3 ms·
Yes, and plenty of others do too. Quantizied. Join us at r/localllama My largest models 318G /llmzoo/models/Qwen3.5-397B 377G DeepSeekv3.2-nolig
by segmondy 6mo ago
Yes, and plenty of others do too. Quantizied. Join us at r/localllama
My largest models
318G /llmzoo/models/Qwen3.5-397B
377G DeepSeekv3.2-nolight
380G /llmzoo/models/DeepSeek-V3.2-UD
400G /llmzoo/models/Qwen3.5-397B-Q8
443G DeepSeek-Math-v2
443G DeepSeek-V3-0324-Q5
522G /llmzoo/models/GLM5.1
545G /llmzoo/models/kimi2.6
546G /llmzoo/models/KimiK2.5
- Liftyee 6mo agoWhat hardware do you use?
- tclancy 6mo agoAll of it.
- MezzoDelCammin 6mo agoI think the answer to this is:"yes"
- CoolThings 6mo agoa Beowulf cluster of 256 x Raspberry Pi 3.
- hhh 6mo agoI used to maintain a 2000 pi 4 cluster, before LLMs were relevant, with around 6gb free ram per node. I wonder what I could have done with something like this.
- Terretta 6mo agoMost of those have custom quants for Mac Studio M3 Ultra 512GB. You'll typically see them mention it by name. All of that list but the last three run at these sizes. For last three, look for a custom quant, e.g. 9.5 bits and/or the Ultra M3 512GB mention. Not sure which direction I'm surprised but Macbook Pro M5 Max ticks over models at the same speed. With "only" 128GB look for models of 116 GB (the absolute max that retains reasonable stability) or less.
- danilocesar 6mo agoIs your house's heating system based on H100s?
- deleted 6mo ago[deleted]
- chid 6mo agoeven quantised, those are HUGE