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Doc-to-LoRA release

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scripts/main_exp/eval/t2l.sh Executable file
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# download t2l checkpoint
uv run huggingface-cli download SakanaAI/text-to-lora --local-dir . --include "trained_t2l/gemma_2b_t2l"
WANDB_MODE=disabled uv run run_eval.py --model_name_or_path google/gemma-2-2b-it --datasets squad drop ropes longbench/qasper_e longbench/2wikimqa_e longbench/multifieldqa_en_e --split test --eval_batch_size_gen=1 --use_t2l