[speedgoose]

It was for my team. Running useful LLMs on battery power is neat for example. Some simply care a bit about sustainability.

It’s also good value if you want a lot of memory.

What would you advice for people with a similar budget? It’s a real question.

[PlatoIsADisease]

But you arent really running LLMs. You just say you are.

There is novelty, but not practical use case.

My $700, 2023, 3060 laptop runs 8B models. At the enterprise level we got 2, A6000s.

Both are useful and were used for economic gain. I don't think you have gotten any gain.

[speedgoose]

Yes a good phone can run a quantised 8B too.

Two A6000 is fast but quite limited in memory. It depends on the use case.

[PlatoIsADisease]

>Yes a good phone can run a quantised 8B too.

Mac expectations in a nutshell lmao

I already knew this because we tried doing it at an enterprise level, but it makes me well aware nothing has changed in the last year.

We are not talking about the same things. You are talking about "Teknickaly possible". I'm talking about useful.

[speedgoose]

If you are happy with 96GB of memory, nice for you.

[PlatoIsADisease]

I use my local AI, so: yes very much.

Fancy RAM doesn't mean much when you are just using it for facebook. Oh I guess you can pretend to use Local LLMs on HN too.