this post was submitted on 23 Jul 2024
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74
Llama 3.1 AI Models Have Officially Released (llama.meta.com)
submitted 3 months ago by [email protected] to c/[email protected]
22 comments fedilink hide all child comments
 

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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[–] [email protected] 7 points 3 months ago (1 children)

Yeah, there's a massive negative circlejerk going on, but mostly with parroted arguments. Being able to locally run a model with this kind of context is huge. Can't wait for the finetunes that will result from this (*cough* NeverSleep's *-maid models come to mind).

[–] [email protected] 2 points 3 months ago* (last edited 3 months ago) (1 children)

I am looking into doing it on the 12B for myself, not so much for RP but novel style prose.

I am thinking literature + a fanfic dump as a dataset?

[–] [email protected] 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.

[–] [email protected] 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!

[–] [email protected] 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?

[–] [email protected] 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.