this post was submitted on 20 Nov 2023
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LocalLLaMA

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Community to discuss about Llama, the family of large language models created by Meta AI.

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I want to run a 70B LLM locally with more than 1 T/s. I have a 3090 with 24GB VRAM and 64GB RAM on the system.

What I managed so far:

  • Found instructions to make 70B run on VRAM only with a 2.5B that run fast but the perplexity was unbearable. LLM was barely coherent.
  • I randomly made somehow 70B run with a variation of RAM/VRAM offloading but it run with 0.1 T/S

I saw people claiming reasonable T/s speeds. Sine I am a newbie, I barely can speak the domain language, and most instructions I found assume implicit knowledge I don't have*.

I need explicit instructions on what 70B model to download exactly, which Model loader to use and how to set parameters that are salient in the context.

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[–] silenceimpaired@alien.top 1 points 11 months ago (2 children)

I could never get up and running on Linux with Nvidia. I used Kobold on Windows, but boy is it painful on Linux.

[–] TuuNo_@alien.top 1 points 11 months ago (1 children)

Well, I have never used Linux before since the main purpose of my pc is gaming. But I heard running LLMs on Linux is overall faster.

[–] silenceimpaired@alien.top 1 points 11 months ago

It is… but koboldcpp doesn’t have a executable for me to run :/

[–] giblesnot@alien.top 1 points 11 months ago (1 children)

I don't know what you were running into but I'm running Pop_OS 22.04 (a modified version of Ubuntu,) as my OS with a 3090 and everything I have tried I just follow the basic install instructions on the home page and it works. Ooga booga, Automatic1111, Tortoise TTS, Whisper STT, Bark, Kobald, etc. I just follow the "run these commands" linux instructions and everything is groovy.

[–] silenceimpaired@alien.top 1 points 11 months ago

I’m on Pop, lol. I could get it to compile, but I must have missed a step for nvidia acceleration