this post was submitted on 09 May 2025
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Microsoft Bans Employees From Using DeepSeek App (www.sunrisegeek.com)
submitted 1 day ago by helloworld7@lemmy.world to c/technology@lemmy.world
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[–] ilmagico@lemmy.world 3 points 23 hours ago (1 children)

I literally run deepseek r1 on my laptop via ollama, and many other models, nothing gets sent to anybody. Granted, it's the smaller 7b parameter model, but still plenty good.

Microsoft could easily host the full model on their infrastructure if they needed it.

[–] brucethemoose@lemmy.world 5 points 22 hours ago (1 children)

True, though there's a big output difference between the 7B distil (or even 32B/70B) and the full model.

And Microsoft does host R1 already, heh. Again, this headline is a big nothingburger.

Also (random aside here), you should consider switching from ollama. They're making some FOSS unfriendly moves, and depending on your hardware, better backends could host 14B models at longer context, and similar or better speeds.

[–] Sabata11792@ani.social 3 points 22 hours ago (1 children)

What other back ends are good?

[–] brucethemoose@lemmy.world 4 points 22 hours ago* (last edited 21 hours ago)

Completely depends on your laptop hardware, but generally:

  • TabbyAPI (exllamav2/exllamav3)
  • ik_llama.cpp, and its openai server
  • kobold.cpp (or kobold.cpp rocm, or croco.cpp, depends)
  • An MLX host with one of the new distillation quantizations
  • Text-gen-web-ui (slow, but supports a lot of samplers and some exotic quantizations)
  • SGLang (extremely fast for parallel calls if thats what you want).
  • Aphrodite Engine (lots of samplers, and fast at the expense of some VRAM usage).

I use text-gen-web-ui at the moment only because TabbyAPI is a little broken with exllamav3 (which is utterly awesome for Qwen3), otherwise I'd almost always stick to TabbyAPI.

Tell me (vaguely) what your system has, and I can be more specific.