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DeepSeek found to be sharing user data with TikTok parent company ByteDance
(www.malwarebytes.com)
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I use 32b and the 672b side by side. The performance hit is around 20% and I keep all my data local. I am not conflating the two however self hosting works for me just fine. Your usecase is your own certainly. However I'd rather take the performance hit for the added data privacy.
Also it's nice to he able to set my own weights and further distil R1
I have a local python expert a local golang expert and both have my local gitlab repository and I've tied their respective Ollama keys to my VSCode IDE.
Depends for sure. I usually try the 32B first, but give really "hard" queries to some API model.
With the distilled models I have, I've been able to build and troubleshoot pretty complicated apps in Golang and Python. However, these distilled models are very specialized and will not do things like write me a story about a duck made out of duct tape or properly summarize articles. There are absolutely limits to my workflow and setup. But I'm pretty happy with it.