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39 lines
1.3 KiB
Bash
39 lines
1.3 KiB
Bash
# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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rm -rf log
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rm -f core*
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export devices=0
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export CUDA_VISIBLE_DEVICES=${devices}
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#*/merged_tp1_state_split/safetensors
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model_path=${1:-"/path/to/model"}
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output_path=${2:-"/path/to/quanted"}
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for name in `env | grep -E 'PADDLE|ENDPOINT' | awk -F'=' '{print $1}'`; do
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unset ${name}
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done
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export PADDLE_TRAINER_ID=0
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export PADDLE_TRAINERS_NUM=1
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export TRAINER_INSTANCES_NUM=1
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export TRAINER_INSTANCES=`hostname -i`
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self_ip=`hostname -i`
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python offline_quantization.py \
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--model_name_or_path ${model_path} \
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--predict_model_type "weight_only_int8" \
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--moe_quant_type "fp8" \
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--output_dir ${output_path} \
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--safe_serialization "True" \
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--dtype "bfloat16"
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