Re:Nvidia Nemotron 3 Family of Models
by patpatpat on Wednesday December 17, 2025 @08:42PM
(#46308010)
FWIW It runs on my 9060xt(AMD) 16gb, without any tweaks just fine. It's very useable.
I asked it to write a prime sieve in c#, started responding in .38 seconds, and wrote an implementation @ 20 tokens/sec
Re:Nvidia Nemotron 3 Family of Models
by genpfault on Thursday December 18, 2025 @12:56AM
(#46309334)
Getting ~150 tok/s on an empty context with a 24 GB 7900XTX via llama.cpp's Vukan backend.
Again, you're using some 3rd party quantisations, not the weights supplied by Nvidia (which don't fit in 24GB).
But you're using a 3rd party quant of unknown quality. Nvidia is only providing weights as BF16 and FP8.
Re:Nvidia Nemotron 3 Family of Models
by barrystaes on Thursday December 18, 2025 @10:57AM
(#46314309)
I wonder what performance remains on 12GB VRAM GPU when local ollama ties in the systems RAM to run this huge nano model.
https://github.com/jameschrisa/Ollama_Tuning_Guide/blob/main...
Other LLMs with the "nano" moniker are around 1b parameters or less.