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Imustaskforhelp • today at 5:00 AM • 2 replies • view on HN

Really wild that Deepseek's model is 536+16B (passive+active) parameter model and its really comparable to Mimo v2.6 Pro which is the current open source SOTA model which is at (978+42)

This is half the size of Mimo and comes pretty damn close to it and I feel like lots of tasks can be done by it.

I really like its speed as well but its quite verbose from the benchmarks, IMO, this should be tackled in the near future as well. I wonder if specific fine-tuning can happen just to make the model token-efficient.

Also, slightly offtopic though deekseep has good tps but Nvidia's nemotron recent 120B model also has some really crazy tps. I wonder if we are gonna see some really good tps on general hardware.

The best part is that the amount of current innovation happening within the space means that a lot of good ideas are bound to be absorbed by one or the other and we will get many of these improvements handed to us :-D

I think that such engineering is also the engineering of the trade-offs and on what axis to play on. You can be SOTA but with very low speed, extreme price and other factors. I think its interesting to see how each engineering lab approaches these trade-offs and what they pick. But whatever they pick, its best because its more choices for us to pick upon from (especially if its open weights)


Replies

serf • today at 5:14 AM

high tps and braindead model is a dangerous and fun thing to watch.

give it browser access and it's a speed-run to a cloudflare bot detection freak-out in minutes.

clhodapp • today at 5:19 AM

At risk of being blunt: Why the surprise that a model that activates 12B parameters is faster than one that activates 16B parameters which is faster than one that activates 42B parameters?

It feels like that would be the expected result, all else equal.

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