PSO-Merging/run_baselines.sh at master · ictnlp/PSO-Merging · GitHub

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#!/bin/bash

# ===========================================
# 环境变量配置 - 请根据您的环境修改以下路径
# ===========================================
export MERGED_MODEL_PATH="/path/to/your/merged_models"  # 合并模型存储路径
export RESULTS_PATH="/path/to/your/results"            # 结果存储路径
export CUDA_VISIBLE_DEVICES=4,5,6,7
export HF_ENDPOINT=https://hf-mirror.com
export IS_ALPACA_EVAL_2=False
export VLLM_WORKER_MULTIPROC_METHOD=spawn
export HF_HUB_OFFLINE=1

fusion_bench --config-name GMA_llama_dare
python distributed_inference_vllm.py \
            --base_model ${MERGED_MODEL_PATH}/mistral_7b_dare1.0_lm_math_code_sciq \
            --task_name alpaca_eval,gsm8k,mbpp,human_eval,sciq
python evaluation.py --model_name mistral_7b_dare1.0_lm_math_code_sciq --task_name alpaca_eval,gsm8k,mbpp,human_eval,sciq > ${RESULTS_PATH}/lm_math_code_sciq/mistral_7b_dare1.0.log

fusion_bench --config-name GMA_llama_dareties
python distributed_inference_vllm.py \
            --base_model ${MERGED_MODEL_PATH}/mistral_7b_daretiesmerge1.0_lm_math_code_sciq \
            --task_name alpaca_eval,gsm8k,mbpp,human_eval,sciq
python evaluation.py --model_name mistral_7b_daretiesmerge1.0_lm_math_code_sciq --task_name alpaca_eval,gsm8k,mbpp,human_eval,sciq > ${RESULTS_PATH}/lm_math_code_sciq/mistral_7b_daretiesmerge1.0.log

fusion_bench --config-name GMA_llama_della
python distributed_inference_vllm.py \
            --base_model ${MERGED_MODEL_PATH}/mistral_7b_della1.0_lm_math_code_sciq \
            --task_name alpaca_eval,gsm8k,mbpp,human_eval,sciq
python evaluation.py --model_name mistral_7b_della1.0_lm_math_code_sciq --task_name alpaca_eval,gsm8k,mbpp,human_eval,sciq > ${RESULTS_PATH}/lm_math_code_sciq/mistral_7b_della1.0.log

fusion_bench --config-name GMA_llama_rankmean
python distributed_inference_vllm.py \
            --base_model ${MERGED_MODEL_PATH}/mistral_7b_rankmean_lm_math_code_sciq \
            --task_name alpaca_eval,gsm8k,mbpp,human_eval,sciq
python evaluation.py --model_name mistral_7b_rankmean_lm_math_code_sciq --task_name alpaca_eval,gsm8k,mbpp,human_eval,sciq > ${RESULTS_PATH}/lm_math_code_sciq/mistral_7b_rankmean.log

fusion_bench --config-name GMA_llama_TA
python distributed_inference_vllm.py \
            --base_model ${MERGED_MODEL_PATH}/mistral_7b_TA1.0_lm_math_code_sciq \
            --task_name alpaca_eval,gsm8k,mbpp,human_eval,sciq
python evaluation.py --model_name mistral_7b_TA1.0_lm_math_code_sciq --task_name alpaca_eval,gsm8k,mbpp,human_eval,sciq > ${RESULTS_PATH}/lm_math_code_sciq/mistral_7b_TA1.0.log

fusion_bench --config-name GMA_llama_ties
python distributed_inference_vllm.py \
            --base_model ${MERGED_MODEL_PATH}/mistral_7b_tiesmerge1.0_lm_math_code_sciq \
            --task_name alpaca_eval,gsm8k,mbpp,human_eval,sciq
python evaluation.py --model_name mistral_7b_tiesmerge1.0_lm_math_code_sciq --task_name alpaca_eval,gsm8k,mbpp,human_eval,sciq > ${RESULTS_PATH}/lm_math_code_sciq/mistral_7b_tiesmerge1.0.log

# fusion_bench --config-name GMA_llama_mod
# python distributed_inference_vllm.py \
#             --base_model ${MERGED_MODEL_PATH}/mistral_7b_mod_lm_math_code_sciq \
#             --task_name alpaca_eval,gsm8k,mbpp,human_eval,sciq
# python evaluation.py --model_name mistral_7b_mod_lm_math_code_sciq --task_name alpaca_eval,gsm8k,mbpp,human_eval,sciq > ${RESULTS_PATH}/lm_math_code_sciq/mistral_7b_mod.log

# fusion_bench --config-name GMA_llama_random_fill
# python distributed_inference_vllm.py \
#             --base_model ${MERGED_MODEL_PATH}/mistral_7b_randomfill_lm_math_code_sciq \
#             --task_name alpaca_eval,gsm8k,mbpp,human_eval,sciq
# python evaluation.py --model_name mistral_7b_randomfill_lm_math_code_sciq --task_name alpaca_eval,gsm8k,mbpp,human_eval,sciq > ${RESULTS_PATH}/lm_math_code_sciq/mistral_7b_randomfill.log

# fusion_bench --config-name GMA_llama_norm_prob_fill
# python distributed_inference_vllm.py \
#             --base_model ${MERGED_MODEL_PATH}/mistral_7b_normprobfill_lm_math_code_sciq \
#             --task_name alpaca_eval,gsm8k,mbpp,human_eval,sciq
# python evaluation.py --model_name mistral_7b_normprobfill_lm_math_code_sciq --task_name alpaca_eval,gsm8k,mbpp,human_eval,sciq > ${RESULTS_PATH}/lm_math_code_sciq/mistral_7b_normprobfill.log