this post was submitted on 23 Jul 2024
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75
Llama 3.1 AI Models Have Officially Released (llama.meta.com)
submitted 3 months ago by simple@lemm.ee to c/technology@lemmy.world
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Big day for people who use AI locally. According to benchmarks this is a big step forward to free, small LLMs.

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[–] admin@lemmy.my-box.dev 1 points 3 months ago (1 children)

Ah, that's a wonderful use case. One of my favourite models has a storytelling lora applied to it, maybe that would be useful to you too?

At any rate, if you'd end up publishing your model, I'd love to hear about it.

[–] brucethemoose@lemmy.world 2 points 3 months ago (1 children)

[Oh, my friend, you have to switch to this: https://huggingface.co/BeaverAI/mistral-doryV2-12b

It's so much smarter than llama 13B. And it goes all the way out to 128K!

[–] admin@lemmy.my-box.dev 1 points 3 months ago (1 children)

Oof - not on my 12gb 3060 it doesn't :/ Even at 48k context and the Q4_K quantization, it's ollama its doing a lot of offloading to the cpu. What kind of hardware are you running it on?

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

A 3090.

But it should be fine on a 3060, with zero offloading.

Dump ollama for long context. Grab a 5-6bpw exl2 quantization and load it with Q4 or Q6 cache depending on how much context you want. I personally use EXUI, but text-gen-webui and tabbyapi (with some other frontend) will also load them.