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> Having given it a whirl, it isn't really catching up. Did you try the original R1, or one of the finetunes (misleadingly called distills)? The original one i
by Tiberium 2y ago
> Having given it a whirl, it isn't really catching up.
Did you try the original R1, or one of the finetunes (misleadingly called distills)? The original one is available on https://chat.deepseek.com https://chat.deepseek.com if you enable "DeepThink (R1)". Without enabling that you'll be chatting with Deepseek V3.
If you're worried about data safety, there are alternative providers, for example Hyperbolic gives $1 in credits and has R1 (but slower than on official website/API): https://app.hyperbolic.xyz/models/deepseek-r1 https://app.hyperbolic.xyz/models/deepseek-r1
As for the finetunes - they're really bad. Basically they are small Qwen/LLaMA models finetuned on R1 CoT outputs. They lack any of the RL training that's the basis for R1's success. They're not "distills" (which would imply they're just a smaller model of the same architecture), they're completely different models with some post-training.