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Add FlanT5 and Llama2 predictions
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{
"queries_path": "data/fm_queries_31Oct/fm_queries_4.txt",
"template": "query_in_response",
"instruction": "Complete the fact in as few words as possible",
"output_dir": "./outputs/fm_queries",
"exp_name": "llama2_4",
"model_name_or_path": "meta-llama/Llama-2-7b-hf",
"cache_dir": "/projects/nlp/data/pmh864/checkpoints/backbones/huggingface/"
}