Add liger kernel to features (#1881) [skip ci]
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@@ -11,7 +11,7 @@ Features:
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- Supports fullfinetune, lora, qlora, relora, and gptq
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- Customize configurations using a simple yaml file or CLI overwrite
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- Load different dataset formats, use custom formats, or bring your own tokenized datasets
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- Integrated with xformer, flash attention, rope scaling, and multipacking
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- Integrated with xformer, flash attention, [liger kernel](https://github.com/linkedin/Liger-Kernel), rope scaling, and multipacking
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- Works with single GPU or multiple GPUs via FSDP or Deepspeed
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- Easily run with Docker locally or on the cloud
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- Log results and optionally checkpoints to wandb or mlflow
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