Could you please expand on what else would be capable of running such models locally?
How about a linux laptop/desktop with specific hardware configuration?
Could you please expand on what else would be capable of running such models locally?
How about a linux laptop/desktop with specific hardware configuration?
Compute is actually not that big of a deal once generation is ongoing, compared to memory bandwidth. But the initial prompt processing can easily be an order of magnitude slower on CPU, so for large prompts (which would be the case for code completion), acceleration is necessary.
For example both the RTX 4090 and the RTX 6000 Ada Generation use the AD102 chip. The RTX 6000 Ada though, would be able to run 70b models due to the larger memory pool despite having the same memory interface width.
It also really depends on what you consider "beginner level". Fine-tuning is really easy these days and many people do it, but you really want CUDA for that.
People are recommending Macbooks because they're a relatively cheap and easy way to get a very large amount of RAM hooked up to your accelerator.
Note that these are quantized versions of the model, so they're not as good as the original 70B model, though people claim their performance is really close to original performance. To run without quantization you'd need about 140GB of VRAM. Which would only be possible with an NVidia H100 (don't know the price) or two A100's (at $18,000 each).