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# Run Vicuna1.3 model on sample text using prompting | |
# Different model sizes available, see https://github.com/lm-sys/FastChat#vicuna-weights: | |
# lmsys/vicuna-33b-v1.3 | |
# lmsys/vicuna-13b-v1.3 | |
# lmsys/vicuna-7b-v1.3 | |
python3 translate.py \ | |
--sentences_path sample_text/en.txt \ | |
--output_path sample_text/en2es.Vicuna33B.translation.txt \ | |
--model_name lmsys/vicuna-33b-v1.3 \ | |
--prompt "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: %%SENTENCE%% ASSISTANT:" \ | |
--precision 8 \ | |
--force_auto_device_map \ | |
--starting_batch_size 8 |