download
raw
795 Bytes
cd /home/luoxianzhen/yang/eval_wrong_code
# 定义算法列表
# test_als=("lcb" "ht" "algo" "crux" "predo")
test_als=("algo")
# 定义模型列表
model_name_list=(
# "claude-sonnet-4-20250514-thinking"
# "deepseek-v3"
# "qwen3-235b-a22b"
# "claude-sonnet-4-20250514"
# "gpt-4o"
# "qwen-coder-plus"
# "Qwen2.5-7B-Instruct"
"Qwen2.5-14B-Instruct"
# "Qwen2.5-32B-Instruct"
# "Qwen2.5-Coder-7B-Instruct"
# "Qwen2.5-Coder-14B-Instruct"
# "Qwen2.5-Coder-32B-Instruct"
)
# 双层循环执行
for alg in "${test_als[@]}"; do
for model in "${model_name_list[@]}"; do
echo "Running testcase_alg=$alg model_name=$model"
python parallel_exe_algo.py \
--testcase_alg "$alg" \
--model_name "$model"
done
done

Xet Storage Details

Size:
795 Bytes
·
Xet hash:
a19718f118889d3dca9aae6a3eceb3fe8bddbbd4b16316d6427b85dc3e51d7ba

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.