#!/bin/sh

BASEDIR=$(dirname "$0")
cd $BASEDIR/..
echo Current Directory:
pwd

BASEDIR=`pwd`

nvidia-smi
uname -a
cat /etc/os-release
lscpu
grep MemTotal /proc/meminfo

#pip install -r requirements.txt
#cd ../LLaMA-Factory && pip install -e .[torch,bitsandbytes] && cd $BASEDIR
#pip install transformers==4.41.2

#export USING_LLAMA_FACTORY=false
export USING_LLAMA_FACTORY=true
export LOAD_IN_4BIT=false

export MODEL_NAME=internlm/internlm2_5-7b-chat-1m
export ADAPTER_NAME_OR_PATH=inflaton-ai/InternLM_2_5-7b_LoRA-Adapter
export LOGICAL_REASONING_DATA_PATH=datasets/mgtv
export LOGICAL_REASONING_RESULTS_PATH=results/mgtv-results_internlm_best.csv

export USE_FLOAT32_FOR_INFERENCE=true
echo "Eval $MODEL_NAME with $ADAPTER_NAME_OR_PATH"
python llm_toolkit/eval_logical_reasoning.py

export USE_FLOAT32_FOR_INFERENCE=false
export USE_BF16_FOR_INFERENCE=true
echo "Eval $MODEL_NAME with $ADAPTER_NAME_OR_PATH"
python llm_toolkit/eval_logical_reasoning.py

export USE_FLOAT32_FOR_INFERENCE=false
export USE_BF16_FOR_INFERENCE=false
echo "Eval $MODEL_NAME with $ADAPTER_NAME_OR_PATH"
python llm_toolkit/eval_logical_reasoning.py

export LOAD_IN_4BIT=true
export USE_FLOAT32_FOR_INFERENCE=false
export USE_BF16_FOR_INFERENCE=true
echo "Eval $MODEL_NAME with $ADAPTER_NAME_OR_PATH"
python llm_toolkit/eval_logical_reasoning.py