this post was submitted on 02 Oct 2023
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LocalLLaMA
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Community to discuss about LLaMA, the large language model created by Meta AI.
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I feel like for non coding tasks you're sadly better off using a 13B model, codellama lost a lot of knowledge/chattiness from its coding fine tuning
THAT SAID it actually kind of depends on what you're trying to do, if you're aiming for RP don't bother, if you're thinking about summarization or logic tasks or RAG, codellama may do totally fine, so more info may help
If you have 24gb of VRAM (my assumption if you can load 34B) you could also play around with 70B at 2.4bpw using exllamav2 (if that made no sense lemme know if it interests you and I'll elaborate) but it'll probably be slower