diff --git a/requirements.txt b/requirements.txt
index 7a2fb6ba11e..acded899f76 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -18,8 +18,3 @@ packaging >= 20.0
 pycocotools >= 2.0.2        # for st test
 tables >= 3.6.1             # for st test
 psutil >= 5.7.0
-subword-nmt>=0.3.7          # for st test
-sacrebleu>=1.4.14           # for st test
-sacremoses>=0.0.35          # for st test
-absl-py>=0.10.0             # for st test
-six>=1.15.0                 # for st test
\ No newline at end of file
diff --git a/tests/st/model_zoo_tests/gnmt_v2/test_gnmt_v2.py b/tests/st/model_zoo_tests/gnmt_v2/test_gnmt_v2.py
deleted file mode 100644
index 86e47f9a472..00000000000
--- a/tests/st/model_zoo_tests/gnmt_v2/test_gnmt_v2.py
+++ /dev/null
@@ -1,103 +0,0 @@
-# Copyright 2020 Huawei Technologies Co., Ltd
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# ============================================================================
-"""Train and eval api."""
-import os
-import argparse
-import pickle
-import datetime
-
-import mindspore.common.dtype as mstype
-from mindspore.common import set_seed
-
-from config import GNMTConfig
-from train import train_parallel
-from src.gnmt_model import infer
-from src.gnmt_model.bleu_calculate import bleu_calculate
-from src.dataset.tokenizer import Tokenizer
-
-parser = argparse.ArgumentParser(description='GNMT train and eval.')
-# train
-parser.add_argument("--config_train", type=str, required=True,
-                    help="model config json file path.")
-parser.add_argument("--pre_train_dataset", type=str, required=True,
-                    help="pre-train dataset address.")
-# eval
-parser.add_argument("--config_test", type=str, required=True,
-                    help="model config json file path.")
-parser.add_argument("--test_dataset", type=str, required=True,
-                    help="test dataset address.")
-parser.add_argument("--existed_ckpt", type=str, required=True,
-                    help="existed checkpoint address.")
-parser.add_argument("--vocab", type=str, required=True,
-                    help="Vocabulary to use.")
-parser.add_argument("--bpe_codes", type=str, required=True,
-                    help="bpe codes to use.")
-parser.add_argument("--test_tgt", type=str, required=True,
-                    default=None,
-                    help="data file of the test target")
-parser.add_argument("--output", type=str, required=False,
-                    default="./output.npz",
-                    help="result file path.")
-
-
-def get_config(config):
-    config = GNMTConfig.from_json_file(config)
-    config.compute_type = mstype.float16
-    config.dtype = mstype.float32
-    return config
-
-
-def _check_args(config):
-    if not os.path.exists(config):
-        raise FileNotFoundError("`config` is not existed.")
-    if not isinstance(config, str):
-        raise ValueError("`config` must be type of str.")
-
-
-if __name__ == '__main__':
-    start_time = datetime.datetime.now()
-    _rank_size = os.getenv('RANK_SIZE')
-    args, _ = parser.parse_known_args()
-    # train
-    _check_args(args.config_train)
-    _config_train = get_config(args.config_train)
-    _config_train.pre_train_dataset = args.pre_train_dataset
-    set_seed(_config_train.random_seed)
-    assert _rank_size is not None and int(_rank_size) > 1
-    if _rank_size is not None and int(_rank_size) > 1:
-        train_parallel(_config_train)
-    # eval
-    _check_args(args.config_test)
-    _config_test = get_config(args.config_test)
-    _config_test.test_dataset = args.test_dataset
-    _config_test.existed_ckpt = args.existed_ckpt
-    result = infer(_config_test)
-
-    with open(args.output, "wb") as f:
-        pickle.dump(result, f, 1)
-
-    result_npy_addr = args.output
-    vocab = args.vocab
-    bpe_codes = args.bpe_codes
-    test_tgt = args.test_tgt
-    tokenizer = Tokenizer(vocab, bpe_codes, 'en', 'de')
-    scores = bleu_calculate(tokenizer, result_npy_addr, test_tgt)
-    print(f"BLEU scores is :{scores}")
-    end_time = datetime.datetime.now()
-    cost_time = (end_time - start_time).seconds
-    print(f"Cost time is {cost_time}s.")
-    assert scores >= 23.8
-    assert cost_time < 10800.0
-    print("----done!----")
diff --git a/tests/st/model_zoo_tests/gnmt_v2/test_gnmt_v2.sh b/tests/st/model_zoo_tests/gnmt_v2/test_gnmt_v2.sh
deleted file mode 100644
index a793be89856..00000000000
--- a/tests/st/model_zoo_tests/gnmt_v2/test_gnmt_v2.sh
+++ /dev/null
@@ -1,78 +0,0 @@
-#!/bin/bash
-# Copyright 2020 Huawei Technologies Co., Ltd
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# ============================================================================
-
-echo "=============================================================================================================="
-echo "Please run the scipt as: "
-echo "sh test_gnmt_v2.sh \
-  GNMT_ADDR RANK_TABLE_ADDR PRE_TRAIN_DATASET TEST_DATASET EXISTED_CKPT_PATH \
-  VOCAB_ADDR BPE_CODE_ADDR TEST_TARGET"
-echo "for example:"
-echo "sh test_gnmt_v2.sh \
-  /home/workspace/gnmt_v2 \
-  /home/workspace/rank_table_8p.json \
-  /home/workspace/dataset_menu/train.tok.clean.bpe.32000.en.mindrecord \
-  /home/workspace/dataset_menu/newstest2014.en.mindrecord \
-  /home/workspace/gnmt_v2/gnmt-6_3452.ckpt \
-  /home/workspace/wmt16_de_en/vocab.bpe.32000 \
-  /home/workspace/wmt16_de_en/bpe.32000 \
-  /home/workspace/wmt16_de_en/newstest2014.de"
-echo "It is better to use absolute path."
-echo "=============================================================================================================="
-
-GNMT_ADDR=$1
-RANK_TABLE_ADDR=$2
-# train dataset addr
-PRE_TRAIN_DATASET=$3
-# eval dataset addr
-TEST_DATASET=$4
-EXISTED_CKPT_PATH=$5
-VOCAB_ADDR=$6
-BPE_CODE_ADDR=$7
-TEST_TARGET=$8
-
-current_exec_path=$(pwd)
-echo ${current_exec_path}
-
-export RANK_TABLE_FILE=$RANK_TABLE_ADDR
-export MINDSPORE_HCCL_CONFIG_PATH=$RANK_TABLE_ADDR
-
-echo $RANK_TABLE_FILE
-export RANK_SIZE=8
-export GLOG_v=2
-
-for((i=0;i<=7;i++));
-do
-    rm -rf ${current_exec_path}/device$i
-    mkdir ${current_exec_path}/device$i
-    cd ${current_exec_path}/device$i || exit
-    cp ${current_exec_path}/*.py .
-    cp ${GNMT_ADDR}/*.py .
-    cp -r ${GNMT_ADDR}/src .
-    cp -r ${GNMT_ADDR}/config .
-    export RANK_ID=$i
-    export DEVICE_ID=$i
-  python test_gnmt_v2.py \
-    --config_train=${GNMT_ADDR}/config/config.json \
-    --pre_train_dataset=$PRE_TRAIN_DATASET \
-    --config_test=${GNMT_ADDR}/config/config_test.json \
-    --test_dataset=$TEST_DATASET \
-    --existed_ckpt=$EXISTED_CKPT_PATH \
-    --vocab=$VOCAB_ADDR \
-    --bpe_codes=$BPE_CODE_ADDR \
-    --test_tgt=$TEST_TARGET > log_gnmt_network${i}.log 2>&1 &
-    cd ${current_exec_path} || exit
-done
-cd ${current_exec_path} || exit
diff --git a/tests/st/model_zoo_tests/gnmt_v2/test_gnmtv2_WMT_English_German.py b/tests/st/model_zoo_tests/gnmt_v2/test_gnmtv2_WMT_English_German.py
deleted file mode 100644
index 38820d4c71a..00000000000
--- a/tests/st/model_zoo_tests/gnmt_v2/test_gnmtv2_WMT_English_German.py
+++ /dev/null
@@ -1,64 +0,0 @@
-# Copyright 2021 Huawei Technologies Co., Ltd
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# ============================================================================
-import os
-import pytest
-
-from tests.st.model_zoo_tests import utils
-
-
-@pytest.mark.level1
-@pytest.mark.platform_x86_ascend_training
-@pytest.mark.platform_arm_ascend_training
-@pytest.mark.env_single
-def test_gnmtv2_WMT_English_German():
-    cur_path = os.path.dirname(os.path.abspath(__file__))
-    model_path = "{}/../../../../model_zoo/official/nlp".format(cur_path)
-    model_name = "gnmt_v2"
-    utils.copy_files(model_path, cur_path, model_name)
-    cur_model_path = os.path.join(cur_path, model_name)
-
-    old_list = ['dataset_sink_mode=config.dataset_sink_mode']
-    new_list = ['dataset_sink_mode=config.dataset_sink_mode, sink_size=25']
-    utils.exec_sed_command(old_list, new_list, os.path.join(cur_model_path, "train.py"))
-    old_list = ['"epochs": 6,']
-    new_list = ['"epochs": 4,']
-    utils.exec_sed_command(old_list, new_list, os.path.join(cur_model_path, "config/config.json"))
-
-    mindrecord_file = "wmt16_de_en/train_tok_mindrecord/train.tok.clean.bpe.32000.en.mindrecord"
-    exec_network_shell = "cd {}/scripts; sh run_distributed_train_ascend.sh {} {}"\
-        .format(model_name, utils.rank_table_path, os.path.join(utils.data_root, mindrecord_file))
-    ret = os.system(exec_network_shell)
-    assert ret == 0
-
-    cmd = "ps -ef | grep python | grep train.py | grep train.tok.clean.bpe | grep -v grep"
-    ret = utils.process_check(120, cmd)
-    assert ret
-
-    log_file = os.path.join(cur_model_path, "scripts/device{}/log_gnmt_network{}.log")
-    for i in range(8):
-        per_step_time = utils.get_perf_data(log_file.format(i, i))
-        print("per_step_time is", per_step_time)
-        assert per_step_time < 330.0
-
-    log_file = os.path.join(cur_model_path, "scripts/device{}/loss.log")
-    loss_list = []
-    for i in range(8):
-        pattern1 = r"loss\: ([\d\.\+]+)\,"
-        loss = utils.parse_log_file(pattern1, log_file.format(i))
-        print("loss is", loss)
-        loss_list.append(loss[-1])
-    print("loss_list is", loss_list)
-    print(sum(loss_list) / len(loss_list))
-    assert sum(loss_list) / len(loss_list) < 260
diff --git a/tests/st/model_zoo_tests/ncf/test_ncf.py b/tests/st/model_zoo_tests/ncf/test_ncf.py
deleted file mode 100644
index 200345ba560..00000000000
--- a/tests/st/model_zoo_tests/ncf/test_ncf.py
+++ /dev/null
@@ -1,48 +0,0 @@
-# Copyright 2021 Huawei Technologies Co., Ltd
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# ============================================================================
-import os
-import pytest
-
-from tests.st.model_zoo_tests import utils
-
-
-@pytest.mark.level0
-@pytest.mark.platform_x86_ascend_training
-@pytest.mark.platform_arm_ascend_training
-@pytest.mark.env_onecard
-def test_ncf():
-    cur_path = os.path.dirname(os.path.abspath(__file__))
-    model_path = "{}/../../../../model_zoo/official/recommend".format(cur_path)
-    model_name = "ncf"
-    utils.copy_files(model_path, cur_path, model_name)
-    cur_model_path = os.path.join(cur_path, model_name)
-    old_list = ["train_epochs 20"]
-    new_list = ["train_epochs 4"]
-    utils.exec_sed_command(old_list, new_list, os.path.join(cur_model_path, "scripts/run_train.sh"))
-    old_list = ["with open(cache_path, \\\"wb\\\")", "pickle.dump"]
-    new_list = ["\\# with open(cache_path, \\\"wb\\\")", "\\# pickle.dump"]
-    utils.exec_sed_command(old_list, new_list, os.path.join(cur_model_path, "src/dataset.py"))
-    dataset_path = os.path.join(utils.data_root, "MovieLens")
-    exec_network_shell = "cd ncf; bash scripts/run_train.sh {0} checkpoint/ > train.log 2>&1 &"\
-        .format(dataset_path)
-    os.system(exec_network_shell)
-    cmd = "ps -ef|grep python|grep train.py|grep train_epochs|grep -v grep"
-    ret = utils.process_check(100, cmd)
-    assert ret
-    log_file = os.path.join(cur_model_path, "train.log")
-    per_step_time = utils.get_perf_data(log_file)
-    assert per_step_time < 2.0
-    loss = utils.get_loss_data_list(log_file)[-1]
-    assert loss < 0.33