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899 points georgehill | 2 comments | | HN request time: 0.423s | source
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samwillis ◴[] No.36216196[source]
ggml and llama.cpp are such a good platform for local LLMs, having some financial backing to support development is brilliant. We should be concentrating as much as possible to do local inference (and training) based on privet data.

I want a local ChatGPT fine tuned on my personal data running on my own device, not in the cloud. Ideally open source too, llama.cpp is looking like the best bet to achieve that!

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rvz ◴[] No.36216465[source]
> ggml and llama.cpp are such a good platform for local LLMs, having some financial backing to support development is brilliant

The problem is, this financial backing and support is via VCs, who will steer the project to close it all up again.

> I want a local ChatGPT fine tuned on my personal data running on my own device, not in the cloud. Ideally open source too, llama.cpp is looking like the best bet to achieve that!

I think you are setting yourself up for disappointment in the future.

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1. ignoramous ◴[] No.36219154[source]
> The problem is, this financial backing and support is via VCs, who will steer the project to close it all up again.

A matter of when, not if. I mean, the website itself makes that much clear:

  The ggml way
  
    ...
  
    Open Core

    The library and related projects are freely available under the MIT license... In the future we may choose to develop extensions that are licensed for commercial use
  
    Explore and have fun!

    ... Contributors are encouraged to try crazy ideas, build wild demos, and push the edge of what's possible

So, like many other "open core" devtools out there, they'd like to have their cake and eat it too. And they might just as well, like others before them.

Won't blame anyone here though; because clearly, if you're as good as Georgi Gerganov, why do it for free?

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2. ukuina ◴[] No.36223453[source]
Sounds like the SQLite model, which has been a net positive for the computing world.