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Stanford Alpaca
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```shell
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torchrun --nproc_per_node=4 --master_port=3045 train.py \
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--warmup_ratio 0.03 \
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--lr_scheduler_type "cosine" \
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--logging_steps 1 \
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--fsdp "
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--fsdp_transformer_layer_cls_to_wrap 'LLaMADecoderLayer' \
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--tf32 True --report_to="wandb"
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```
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# Stanford Alpaca
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This is a replica of Alpaca by Stanford' tatsu
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Trained using the original instructions with a minor modification in FSDP mode
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Trained on 4xA100s for 6H
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NO LORA HAS BEEN USED, this is a natively-finetuned model, hence "alpaca-native"
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If you are interested on more llama-based models, you can check out my profile or search for other models at https://huggingface.co/models?other=llama
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This (MIGHT) be a quantized version of this model, but be careful: https://boards.4channel.org/g/thread/92173062#p92182396
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CONFIGURATION (default except fsdp):
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```shell
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torchrun --nproc_per_node=4 --master_port=3045 train.py \
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--warmup_ratio 0.03 \
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--lr_scheduler_type "cosine" \
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--logging_steps 1 \
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--fsdp "shard_grad_op auto_wrap" \
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--fsdp_transformer_layer_cls_to_wrap 'LLaMADecoderLayer' \
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--tf32 True --report_to="wandb"
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```
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