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by moojacob 46 days ago
I was a fan of coheres general purpose LLM. Command A I think? Before they came out with their reasoning model.

More competition is better.

1 comments

I always forget the VRAM requirements on these MOE things
fwiw because of the relatively few activated params offloading to system RAM is quite feasible, you can see the endless amount of people doing this on r/localllama with qwen3.6 35a3b
I ran Gemma4 26B A4B on an 8yo PC with a fucking GTX and it did rather well.
Well, that's pretty impressive. Care to share your setup to do that? How much DDR3/DDR4 do you have, too?
I... downloaded a 4-bit quantized GGUF of the model, used llama.cpp to run it, and pointed OpenCode at that. My machine is an 8-core Gen1 Ryzen 7, 32 GiB of DDR4, (I think) 4 GiB of VRAM on the graphics.
Well... That's much simpler than I imagined LOL, thank you for answering!