google-bert/bert-base-uncased
1mo
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What it costs to run this
0.11
| Precision | Needs | Cheapest that fits |
|---|---|---|
| 16-bit | 1.5 | GTX 1660 S |
| 8-bit | 0.8 | GTX 1660 S |
| 4-bit | 0.4 | GTX 1660 S |
Weights plus attention cache, with 15% added for activations and allocator overhead. Everything here is arithmetic — we do not measure speed, so we do not rank chips by it. See all GPU prices
New fill-mask model. Tags: pytorch, tf, jax, rust, coreml, onnx, bert, fill-mask
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