#!/bin/sh BASEDIR=$(dirname "$0") cd $BASEDIR/.. echo Current Directory: pwd BASEDIR=`pwd` export LOGICAL_REASONING_DATA_PATH=datasets/mgtv export RESIZE_TOKEN_EMBEDDINGS=true #export USING_LLAMA_FACTORY=true export USING_P1_PROMPT_TEMPLATE=false export LOAD_IN_4BIT=true export ORG_NAME=$1 export MODEL=$2 export MODEL_NAME=$ORG_NAME/$MODEL export LOGICAL_REASONING_RESULTS_PATH=data/${MODEL}_results.csv echo Evaluating $MODEL_NAME with few-shot learning python llm_toolkit/eval_shots.py if [ "$MODEL" == "Llama3.1-70B-Chinese-Chat" ]; then export START_NUM_SHOTS=5 $BASEDIR/scripts/eval-shots.sh internlm internlm2_5-20b-chat fi