this post was submitted on 03 Feb 2025
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Base models are general purpose language models, mainly useful for AI researchers and people who want to build on top of them.
Instruct or chat models are chatbots. They are made by fine-tuning base models.
The V3 models linked by OP are Deepseek's non-reasoning models, similar to Claude or ChatGPT4o. These are the "normal" chatbots that reply with whatever comes to their mind. Deepseek also has a reasoning model, R1. Such models take time to "think" before supplying their final answer; they tend to give better performance for stuff like math problems, at the cost of being slower to get the answer.
It should be mentioned that you probably won't be able to run these models yourself unless you have a data center style rig with 4-5 GPUs. The Deepseek V3 and R1 models are chonky beasts. There are smaller "distilled" forms of R1 that are possible to run locally, though.
I heard people saying they could run the r1 32B model on moderate gaming hardware albeit slowly
32b is still distilled. The full one is 671b.
I know, but the fall off in performance isn't supposed to be severe
You are correct. And yes that is kinda the whole point of the distilled models.
My legion slim 5 14" can run it not too bad.