I use a 16b reduction of deepseek-r1 on my pc at home and it’s definitely not total bullshit. It’s 10gb of local model that can solve mathematics and physics problems for you or program in python or bash. It doesn’t hallucinate (or I haven’t been able to elicit it), it’s aware of the extents of its knowledge. It works incredibly fast on an old ryzen 1600 with 6600xt. Having an open source reasoning AI that takes 10gb of SSD and about 13 gb of ram is so weird that the only thing weirder is seeing smart people dismiss it as bullshit out of hand.
Well, to be 100% fair, it’s all total bullshit.
I use a 16b reduction of deepseek-r1 on my pc at home and it’s definitely not total bullshit. It’s 10gb of local model that can solve mathematics and physics problems for you or program in python or bash. It doesn’t hallucinate (or I haven’t been able to elicit it), it’s aware of the extents of its knowledge. It works incredibly fast on an old ryzen 1600 with 6600xt. Having an open source reasoning AI that takes 10gb of SSD and about 13 gb of ram is so weird that the only thing weirder is seeing smart people dismiss it as bullshit out of hand.
It’s still an LLM right? I’m going to have to take issue with your use of the word ‘reasoning’ here