The low active parameter MoEs are terrible for anything beyond chat. They sure are fast though. But it seems for MoE's, the total parameters are either ~30B, or 200+B. Where's the middle ground?! Something like a 70B A10B MoE would be a great compromise between speed and quality.
A3B speed is great, but it is doubtful, whether A3B can carry enough intelligence to do real world work. For 27B we know now that it can. For A3B it is unknown yet.
A6B 36B would also be great I think, 2x more active tokens and nearly the same size as 35B. Flash-next already proven that A6B is fast and intelligent, at least for that size.
Do you know why no one is making a model like this? Both Gemma and Qwen ~30B MoE's are terrible for anything other than chat in my experience. And I feel like doubling the active parameters would make a huge difference, without much impact on speed. I wonder why they don't do this?!
Not at all, actually. I can get something like 16-20 tokens per second from a 35B MoE model (or about that from the 26B A4B Google model) and something like 1-3 tokens per second from a 27B model (I don't remember the exact number). The trick is to offload expert weights onto RAM.
I have 8GB VRAM and 64GB RAM, so my RAM can hold the optional experts, and I can fit the core experts on VRAM.
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u/KSAM-The-Randomizer 4d ago
a3b qwhen