this post was submitted on 02 Feb 2025
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Can I download their model and run it on my own hardware? No? Then they're inferior to deepseek
In fairness, unless you have about 800GB of VRAM/HBM you're not running true Deepseek yet. The smaller models are Llama or Qwen distilled from Deepseek R1.
I'm really hoping Deepseek releases smaller models that I can fit on a 16GB GPU and try at home.
Qwen 2.5 is already amazing for a 14B, so I don’t see how deepseek can improve that much with a new base model, even if they continue train it.
Perhaps we need to meet in the middle, and have quad channel APUs like Strix Halo become more common, and maybe release like 40-80GB MoE models. Perhaps bitnet ones?
Or design them for asynchronous inference.
I just don’t see how 20B-ish models can perform like one orders of magnitude bigger without a paradigm shift.
Intriguingly, there's reason to believe the R1 distills are nowhere close to their peak performance. In the R1 paper they say that the models are released as proofs of concept of the power of distillation, and the performance can probably be improved by doing an additional reinforcement learning step (like what was done to turn V3 into R1). But they said they basically couldn't be bothered to do it and are leaving it for the community to try.
2025 is going to be very interesting in this space.