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 wonder theres way to run LLM without loading on ram (alien.top)

submitted 1 year ago by wjohhan@alien.top to c/localllama@poweruser.forum

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Heard Apple's working on an on-device Siri with LLMs, but these models are memory-intensive, especially for iPhone's limited RAM. This isn't just an Apple issue; big tech companies who want to run ML models on device, like samsung, google, meta will face same problem.

What if models could run directly from storage instead of RAM?

Samsung is onto something with their MRAM tech – it's non-volatile, power-efficient, and can handle some Logic, AI processing. Imagine your phone running models from storage!

Not an ML expert, but this tech evolution is intriguing. is there other attempt like this?

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[–] SlowSmarts@alien.top 1 points 1 year ago

I ran a 13b Q_4 on a Raspberry Pi4 8Gb with Llama.cpp with no special settings, it just automatically cashed from disk... Was mega slow and got worse with more tokens, but did it. Don't know if it was Llama.cpp or Raspberry Pi OS that automatically cached.

You can cmake Llama.cpp on many platforms.