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Proton's biased article on Deepseek (lemmy.ml)

submitted 3 months ago by [email protected] to c/[email protected]

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Article: https://proton.me/blog/deepseek

Calls it "Deepsneak", failing to make it clear that the reason people love Deepseek is that you can download and it run it securely on any of your own private devices or servers - unlike most of the competing SOTA AIs.

I can't speak for Proton, but the last couple weeks are showing some very clear biases coming out.

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[–] [email protected] 1 points 3 months ago* (last edited 3 months ago) (1 children)

Have you compared it with the regular qwen? It was also very good

[–] [email protected] 1 points 3 months ago (1 children)

The main difference is speed and memory usage. Qwen is a full-sized, high-parameter model while qwen-distill is a smaller model created using knowledge distillation to mimic qwen's outputs. If you have the resources to run qwen fast then I'd just go with that.

[–] [email protected] 1 points 3 months ago (1 children)

I think you're confusing the two. I'm talking about the regular qwen before it was finetuned by deep seek, not the regular deepseek

[–] [email protected] 1 points 3 months ago (1 children)

I haven't actually used that one, but doesn't the same point apply here too? The whole point of DeepSeek is in distillation that makes runtime requirements smaller.

[–] [email protected] 1 points 3 months ago

No cause I was already running regular (non-deepseek) qwen 14B, admittedly a heavily quantized and uncensored version, so I was just curious if it would be any better