[hashmap]

im kind of wondering like what the ceiling would be on reasoning for something like the 1.5T models with the repeating technique, but they would take a long time to download. i think if you have them already it would take maybe an hour or so to check against a swath of prompts. whats the reasoningest open model at the moment?

my guess is that large models trained on large corpuses there is just some ceiling of "reasoning you can do" given the internal geometry implied by the training data, cause text is lossy and low-bandwidth anyway, and theres only really so much of it. past some point you just have to have models learning from real-world interactions and my guess is we're already kind of there.

[dnhkng]

I stick with models I can run on VRAM, but DeepSeek Speciale have the best reasoning capabilities of the models I can actually run (https://huggingface.co/deepseek-ai/DeepSeek-V3.2-Speciale). What hardware can you access?

I have Deepseek etc, but inferencing on DDR5 would take about 2-3 weeks for a simple scan. I think this works best with dense models, but it also seems ok with MoE.

@everyone: Can someone hook me up with Nvidia sponsorship?

[hashmap]

oh neat ill check that one out. i dont get that much speedup from ssd/128gb unified vs vram if im doing like a predefined set of prompts, since i have it load it from disk anyway and im just doing one forward pass per prompt, and just like load part of it at a time. its a bit slower if im doing cpu inferencing but i only had to do that with one model so far.

but yeah on demand would be a lot of ssd churn so id just do it for testing or getting some hidden state vectors.