This article is a good summary of local models. Unlike the way they are hyped sometimes, as fantastic tools for coding and agentic local work. The reality is that they are rather limited, would not do well on a long or complex task, and are prone to fall into loops, forget their tasks, etc. Not mentioned in the article is that they are also rather expensive - not just for the hardware cost, but also electricity. These 3090 and 5090 machines are pretty power hungry, and these models are pretty slow on these machines, making them consume more power per token.t
Where they shine is in your ability to control them, their privacy, their predictability (e.g. if you are doing a repetitive task, like classifying your photo/video library), and depending on your energy bill - their costs.
This article is a good summary of local models. Unlike the way they are hyped sometimes, as fantastic tools for coding and agentic local work. The reality is that they are rather limited, would not do well on a long or complex task, and are prone to fall into loops, forget their tasks, etc. Not mentioned in the article is that they are also rather expensive - not just for the hardware cost, but also electricity. These 3090 and 5090 machines are pretty power hungry, and these models are pretty slow on these machines, making them consume more power per token.t
Where they shine is in your ability to control them, their privacy, their predictability (e.g. if you are doing a repetitive task, like classifying your photo/video library), and depending on your energy bill - their costs.