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Any Macbook with 32GB should be able to run Meta-Llama-3-70B-Instruct.Q2_K.llamafile which I uploaded a few minutes ago. It's smart enough to solve math riddles
by jart 3y ago
Any Macbook with 32GB should be able to run Meta-Llama-3-70B-Instruct.Q2_K.llamafile which I uploaded a few minutes ago. It's smart enough to solve math riddles, but at this level of quantization you should expect hallucinations.
If you want to run Q4_0 you'll probably be able to squeeze it on a $3,999.00 Macbook Pro M3 Max w/ 48GB of RAM.
If you want to run Q5_K_M or or Q8_0 the best choice is probably Mac Studio. I have an Apple M2 Ultra w/ 24‑core CPU, 60‑core GPU, 128GB RAM. It cost me $8000 with the monitor. If I run Meta-Llama-3-70B-Instruct.Q4_0.llamafile then I get 14 tok/sec (prompt eval is 82 tok/sec) thanks to the Metal GPU.
You could alternatively go on vast.ai and rent a system with 4x RTX 4090's for a few bucks an hour. That'll run 70b. Or you could build your own, but the graphics cards alone will cost $10k+.
AMD Threadripper Pro 7995WX ($10k) does a good job too. I get 5.9 tok/sec eval with Q4_0 and 49 tok/sec prompt. If I use F16 weights then prompt eval goes 65 tok/sec.
- jtrn 3y agoThank you for this. I am looking for as much information on Lama 70b running locally, but not finding as much as I would like. How come you have access to both 7995WX and M3 Max? Professional setting or hobbyist? I'm not knowledgeable with regards to running LLMs on CPU. Do I understand correctly that Threadripper treats RAM as unified memory in the same way as Apple silicon, so that you could in theory dump 256GB of RAM into the system and have the FP16 llama3 70b actually run and load?
- FloatArtifact 3y agoI'm going to wait for late 2024 gpus or 2025 cpus and do a cost analysis.