Does Apple Silicon offer good performance for running LLMs?
Haebom
This post was very helpful to me personally, so I'm saving it for future reference.
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Unfortunately, Apple Silicon doesn't support eGPUs yet. (Intel chips do.)
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As of now, macOS doesn't really support NVIDIA graphics cards, so it's hard to use CUDA and similar tools.
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Because of all this, when I run an LLM, I usually end up running it on Apple's own silicon chips (CPU+GPU).
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Personally, I've been trying out various things with llama 13B locally, and I haven't really run into any major issues. (It runs and can even train... though I'm not sure about the efficiency.)
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So I saw the benchmark results, which ggerganov published, and now I can see why Apple is so confident about its silicon chips in the field of ML.
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On the other hand, it seems like Radeon’s position is becoming pretty unclear...
Apparently, this was written based on LLaMA 7B.
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I post articles related to IT 💻, economy 💰, and humanities 🎭.
If you are curious about my thoughts, perspectives or interests, please subscribe.
haebom@kakao.com