PS: The paper trains the model for 100 epochs for a fair comparison. You can use more data and train for more epochs to get better performance.
We now support both `lm-eval` and `EvalPlus`. Added pure torch `Torch` kernel. Refactored `Cuda` kernel to be `DynamicCuda` kernel. `Triton` kernel now auto-padded for max model support. `Dynamic` ...
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