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I have not tried, but 96GB of GPU memory is plenty, for inference there should certainly be no issue. Their biggest model has 13B parameters, you should be able
by spi 4y ago
I have not tried, but 96GB of GPU memory is plenty, for inference there should certainly be no issue. Their biggest model has 13B parameters, you should be able to run inference (float16) already with 32GB of memory.
With 96GB of memory you should also be able to fine-tune it (possibly some tricks like gradient accumulation and/or checkpointing might be needed), but you have to be ready for many days of computation...
- alchemist1e9 4y ago> but you have to be ready for many days of computation... I was thinking since we have API prices in tokens and now it looks like self hosted inference on high end GPUs for similar models. Then based on electricity prices there will be a self-hosted prices in tokens. Then how close are these already? What is the markup today from roughly the raw electricity cost that OpenAI has.