LocalLLaMA

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

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Cheapest way to run local LLMs? (alien.top)

submitted 11 months ago by ClassroomGold6910@alien.top to c/localllama@poweruser.forum

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Not super knowledgeable about all the different specs of the different Orange PI and Rasberry PI models. I'm looking for something relatively cheap that can connect to WiFi and USB. I want to be able to run at least 13b models at a a decent tok / s.

Also open to other solutions. I have a Mac M1 (8gb RAM) and upgrading the computer itself would be cost prohibitive for me.

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[–] ThinkExtension2328@alien.top 1 points 11 months ago (4 children)

Honestly the m1 is probably the cheapest solution you have , get your self LLM studio and try out a 7b_K_M model your going to struggle with anything larger then that. But that will let you get to experience what we are all playing with.

[–] ClassroomGold6910@alien.top 1 points 11 months ago (2 children)

What's the difference between `K_M` models, also why is `Q_4` legacy but not `Q_4_1`, it would be great if someone could explain that lol

[–] Sea_Particular_4014@alien.top 1 points 11 months ago

Q4_0 and Q4_1 would both be legacy.

The k_m is the new "k quant" (I guess it's not that new anymore, it's been around for months now).

The idea is that the more important layers are done at a higher precision, while the less important layers are done at a lower precision.

It seems to work well, thus why it has become the new standard for the most part.

Q4_k_m does the most important layers at 5 bit and the less important ones at 4 bit.

It is closer in quality/perplexity to q5_0, while being closer in size to q4_0.

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