R1 would be the reasoning model - as in, the initial part of the output being the "train of thought" revealed before the "final answer" is provided. I was able

R1 would be the reasoning model - as in, the initial part of the output being the "train of thought" revealed before the "final answer" is provided. I was able to deploy a heavily quantized version of that locally, and run it with RAG (Open Webui in this instance) -- with web search enabled, sure, but it's still a far cry from an actual "research" model that know when and how to seek extra data / information.