this post was submitted on 24 Jul 2024
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198
The first GPT-4-class AI model anyone can download has arrived: Llama 405B (arstechnica.com)
submitted 3 months ago by Wilshire@lemmy.world to c/technology@lemmy.world
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[–] sunzu@kbin.run 12 points 3 months ago (2 children)

405b ain't running local unless you got a proepr set up is enterpise grade lol

I think 70b is possible but I haven't find anyone confirming it yet

Also would like to know specs on whoever did it

[–] Voyajer@lemmy.world 8 points 3 months ago* (last edited 3 months ago) (2 children)

I've run quantized 70B models on CPU with 32 gigs but it is very slow

[–] bizarroland@fedia.io 3 points 3 months ago (1 children)

I have a home server with 140 gigs of RAM, it was surprisingly cheap. It's an HP z6 with the 6146 gold xeon processor.

I found a seller who was selling it with a low spec silver and 16 gigs of RAM for like 250 bucks.

Found the processor upgrade for about $120 and spend another $150 on 128gb of second-hand ECC ddr4.

I think the total cost was something like $700 after throwing a couple of 8 TB hard drives in.

I've also placed a Nvidia 4070 in it, which I got doing some horse trading.

How close am I on the specs to being able to run the 70b version?

[–] BaroqueInMind@lemmy.one 2 points 3 months ago* (last edited 3 months ago) (1 children)

What's the bus speed of the RAM? You might run it just fine but still bottlenecked there.

[–] bizarroland@fedia.io 1 points 3 months ago (1 children)

It's clocked at ddr4 2666

[–] BaroqueInMind@lemmy.one 2 points 3 months ago* (last edited 3 months ago)

With 144Gb of total RAM, you should be able to run any CPU intensive software.

The LLMs use GPU vRAM though, so it doesn't matter how much system RAM you have, since GPU vRAM is what the xformers and tensor scripts prioritize and have been ultimately optimized to use over CPU and RAM.

[–] sunzu@kbin.run 3 points 3 months ago

I gonna add some RAM with hope I can split original 70b between GPU and RAM. 8b is great what it is as is

Looks like it should be possible, not sure how much performance hit offloading to RAM will do. Fafo

[–] raldone01@lemmy.world 2 points 3 months ago* (last edited 3 months ago) (1 children)

I regularly run llama3 70b unqantized on two P40s and CPU at like 7tokens/s. It's usable but not very fast.

[–] sunzu@kbin.run 1 points 3 months ago (2 children)

so there is no way a 24gb and 64gb can run thing?

[–] raldone01@lemmy.world 2 points 3 months ago* (last edited 3 months ago) (1 children)

My specs because you asked:

CPU: Intel(R) Xeon(R) E5-2699 v3 (72) @ 3.60 GHz
GPU 1: NVIDIA Tesla P40 [Discrete]
GPU 2: NVIDIA Tesla P40 [Discrete]
GPU 3: Matrox Electronics Systems Ltd. MGA G200EH
Memory: 66.75 GiB / 251.75 GiB (27%)
Swap: 75.50 MiB / 40.00 GiB (0%)
[–] sunzu@kbin.run 1 points 3 months ago (1 children)

ok this is a server. 48gb cards and 67gb ram? for model alone?

[–] raldone01@lemmy.world 2 points 3 months ago

Each card has 24GB so 48GB vram total. I use ollama it fills whatever vrams is available on both cards and runs the rest on the CPU cores.

[–] raldone01@lemmy.world 1 points 3 months ago (1 children)

What are you asking exactly?

What do you want to run? I assume you have a 24GB GPU and 64GB host RAM?

[–] sunzu@kbin.run 1 points 3 months ago (1 children)

correct. and how ram speed work in this tbh

[–] raldone01@lemmy.world 2 points 3 months ago

My memory sticks are all DDR4 with 32GB@2133MT/s.