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submitted 4 months ago* (last edited 4 months ago) by TheBigBrother@lemmy.world to c/selfhosted@lemmy.world

I have experience in running servers, but I would like to know if it's possible to do it, I just need a GPT 3.5 like private LLM running.

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[-] StrawberryPigtails@lemmy.sdf.org 10 points 4 months ago

It's doable. Stick to the 7b models and it should work for the most part, but don't expect anything remotely approaching what might be called reasonable performance. It's going to be slow. But it can work.

To get a somewhat usable experience you kinda need an Nvidia graphics card or an AI accelerator.

[-] 1rre@discuss.tchncs.de 4 points 4 months ago

Intel Arc also works surprisingly fine and consistently for ML if you use llama.cpp for LLMs or Automatic for stable diffusion, it's definitely much closer to Nvidia in terms of usability than it is to AMD

[-] Tempo@lemmy.ml 8 points 4 months ago

They're Ryzen processors with "AI" accelerators, so an LLM can definitely run on hardware on one of those. Other options are available, like lower powered ARM chipsets (RK3588-based boards) with accelerators that might have half the performance but are far cheaper to run, should be enough for a basic LLM.

[-] exu@feditown.com 3 points 4 months ago

I don't know of any project that already supports that AI processor. You'd still be using the CPU and GPU at the moment.

[-] MasterNerd@lemm.ee 5 points 4 months ago

Look into ollama. It shouldn't be an issue if you stick to 7b parameter models

[-] TheBigBrother@lemmy.world -4 points 4 months ago

Yeah, I did see something related to what you mentioned and I was quite interested. What about quantized models?

[-] entropicdrift@lemmy.sdf.org 3 points 4 months ago

Quantized with more parameters is generally better than floating point with fewer parameters. If you can squeeze a 14b parameter model down to a 4-bit int quantization it'll still generally outperform a 16-bit Floating Point 7b parameter equivalent.

[-] MasterNerd@lemm.ee 2 points 4 months ago

I don't have any experience with them honestly so I can't help you there

[-] TheBigBrother@lemmy.world -4 points 4 months ago

Appreciate you 👍👍

this post was submitted on 24 Jun 2024
-16 points (38.2% liked)

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