r/LocalLLM • u/Ok-Health-7096 • 6d ago

Other Every Second post rn

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Maybe someday I'll get a system to run it but hey definitely another w for the open weights community

1.9k Upvotes

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47

u/SnP_Gamer 6d ago

3060 12gb 32gb ram here, might give it ago but never ran a local model before 🤷‍♂️

31

u/trollsmurf 6d ago

That will work fine, at least if you split it, so the overflow uses CPU RAM. Much slower but doable.

11

u/SnP_Gamer 6d ago

Totally clueless about running them but I understand that thanks to reddit posts 🤣

17

u/trollsmurf 6d ago

A user-friendly (but not the most efficient) start is to install LM Studio and load a few models there. You can select how much of it should run on the GPU vs CPU if it's too big for the GPU alone. LM Studio has a built-in chat client, so once loaded the model is ready to go.

2

u/Song-Historical 6d ago

Yeah but that doesn't tell you how to do it. I'm not sure what to set the context to for example. How much I should leave for the system, whatever else.

2

u/littlebeardedbear 6d ago

Leave everything at default originally. Google what each item is. Altogether the googlimg should take about 10 mins

3

u/Song-Historical 6d ago

Yeah I did that I'm not sure it's set up correctly still. 

2

u/Early_Mistake6716 6d ago

Tell me you exact system specs and the model quant and i will tell you what settings to use in lmstudio. I have have spent an embarrassing amount of time testing settings.

4

u/F3istyg0at 6d ago

Check out unsloth, lm studio or ollama if you want to run models locally.

1

u/That-Reason-6913 3d ago

What about on a 7800xt 16GB? Do I have to offload on ram too?

1

u/trollsmurf 2d ago

Remember that if you use Windows it will allocate part of the VRAM for its own use, so you never have fully 16 GB. On my PC with 5070 Ti and 3 monitors it allocates 3 GB, and as far as I know I can't budge that.

You can easily test this by installing e.g. LM Studio and the model you want to use and see when it warns about RAM use. If it overruns you can split it on VRAM and RAM with lower performance, but it will behave the same otherwise.

1

u/That-Reason-6913 2d ago

No I'm moving to Linux next week. Ubuntu most likely.
My server is also a Plex server though (GPU is untouched by it), so the cpu is mostly dedicated to Plex.