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Sync v2.0 version of code to github repo
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Jiang-Jia-Jun
227
fastdeploy/download_model.py
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227
fastdeploy/download_model.py
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"""
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# Copyright (c) 2025 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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"""
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import requests
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import os
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from tqdm import tqdm
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import argparse
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import hashlib
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import re
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def parse_arguments():
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"""
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<20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>в<EFBFBD><D0B2><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>һ<EFBFBD><D2BB>argparse.Namespace<63><65><EFBFBD><EFBFBD>
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Args:
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None
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Returns:
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argparse.Namespace (parser.parse_args()): <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>в<EFBFBD><D0B2><EFBFBD><EFBFBD><EFBFBD>Namespace<63><65><EFBFBD><EFBFBD>
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- model_name (str, default='deepseek-ai/DeepSeek-R1/weight_only_int4'): ģ<><C4A3><EFBFBD><EFBFBD><EFBFBD>ơ<EFBFBD>
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- dir (str, default='downloads'): <20><><EFBFBD><EFBFBD>Ŀ¼<C4BF><C2BC>
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- nnodes (int, default=1): <20>ڵ<EFBFBD><DAB5><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
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- mode (str, default="master"): ģʽ<C4A3><CABD>ֻ֧<D6BB><D6A7><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ڵ<EFBFBD>ģ<EFBFBD><C4A3><EFBFBD>У<EFBFBD><D0A3><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ģʽ<C4A3><CABD>master<65><72><EFBFBD><EFBFBD>slave<76><65>
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- speculate_model_path (str, default=None): <20><><EFBFBD><EFBFBD>ģ<EFBFBD><C4A3>·<EFBFBD><C2B7><EFBFBD><EFBFBD>
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"""
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parser = argparse.ArgumentParser(description="download models")
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parser.add_argument('-m', '--model_name', default='deepseek-ai/DeepSeek-R1/weight_only_int4',
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help="model_name")
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parser.add_argument('-d', '--dir', default='downloads',
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help="save dir")
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parser.add_argument('-n', '--nnodes', type=int, default=1,
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help="the number of node")
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parser.add_argument('-M', '--mode', default="master", choices=["master", "slave"],
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help="only support in 2 nodes model. There are two modes, master or slave.")
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parser.add_argument('-s', '--speculate_model_path', default=None,
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help="speculate model path")
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return parser.parse_args()
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def calculate_md5(file_path, chunk_size=8192):
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"""
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<20><><EFBFBD><EFBFBD><EFBFBD>ļ<EFBFBD><C4BC><EFBFBD>MD5ֵ<35><D6B5>
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Args:
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file_path (str): <20>ļ<EFBFBD>·<EFBFBD><C2B7><EFBFBD><EFBFBD>
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chunk_size (int, optional): ÿ<>ζ<EFBFBD>ȡ<EFBFBD><C8A1><EFBFBD>ֽ<EFBFBD><D6BD><EFBFBD><EFBFBD><EFBFBD>Ĭ<EFBFBD><C4AC>Ϊ8192<39><32>
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Returns:
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str: <20><><EFBFBD><EFBFBD><EFBFBD>ļ<EFBFBD><C4BC><EFBFBD>MD5ֵ<35><D6B5><EFBFBD><EFBFBD>ʽΪʮ<CEAA><CAAE><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ַ<EFBFBD><D6B7><EFBFBD><EFBFBD><EFBFBD>
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"""
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hasher = hashlib.md5()
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with open(file_path, 'rb') as f:
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for chunk in iter(lambda: f.read(chunk_size), b''):
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hasher.update(chunk)
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return hasher.hexdigest()
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def download_file(url, save_path, md5sum):
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"""download file"""
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md5_check = int(os.getenv("MD5_CHECK", "0")) == 1
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try:
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with requests.get(url, stream=True) as response:
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response.raise_for_status()
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if os.path.exists(save_path):
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if not md5_check:
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print(f"{save_path} already exists and md5 check is off, skip this step")
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return save_path
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current_md5sum = calculate_md5(save_path)
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if md5sum != current_md5sum:
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os.remove(save_path)
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print("not complete file! start to download again")
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else:
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print(f"{save_path} already exists and md5sum matches")
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return save_path
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os.makedirs(os.path.dirname(save_path), exist_ok=True)
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file_name = save_path.split('/')[-1]
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total_size = int(response.headers.get('content-length', 0))
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progress_bar = tqdm(
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total=total_size,
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unit='iB',
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unit_scale=True,
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desc=f"download {file_name}"
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)
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with open(save_path, 'wb') as f:
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for chunk in response.iter_content(chunk_size=1024):
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if chunk:
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f.write(chunk)
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progress_bar.update(len(chunk))
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progress_bar.close()
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if total_size != 0 and os.path.getsize(save_path) != total_size:
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raise RuntimeError("not complete")
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return save_path
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except Exception as e:
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if save_path and os.path.exists(save_path):
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os.remove(save_path)
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return None
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def download_from_txt(base_url, save_dir, model_name=None):
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"""
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<20><><EFBFBD>ı<EFBFBD><C4B1>ļ<EFBFBD><C4BC><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ļ<EFBFBD><C4BC><EFBFBD>
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Args:
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base_url (str): <20><><EFBFBD><EFBFBD>URL<52><4C><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ļ<EFBFBD><C4BC>б<EFBFBD><D0B1><EFBFBD>·<EFBFBD><C2B7><EFBFBD><EFBFBD>
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save_dir (str): <20><><EFBFBD><EFBFBD>Ŀ¼<C4BF><C2BC><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ص<EFBFBD><D8B5><EFBFBD>Ŀ¼<C4BF>¡<EFBFBD><C2A1><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ڣ<EFBFBD><DAA3><EFBFBD><F2B4B4BD><EFBFBD>
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model_name (str, optional): ģ<><C4A3><EFBFBD><EFBFBD><EFBFBD>ƣ<EFBFBD>Ĭ<EFBFBD><C4AC>ΪNone<6E><65><EFBFBD><EFBFBD>ѡ<EFBFBD><D1A1><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ع<EFBFBD><D8B9><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ʾģ<CABE><C4A3><EFBFBD><EFBFBD><EFBFBD>ơ<EFBFBD>
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Returns:
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None, <20><EFBFBD><DEB7><EFBFBD>ֵ<EFBFBD><D6B5>
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Raises:
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Exception: <20><><EFBFBD><EFBFBD>ʧ<EFBFBD><CAA7>ʱ<EFBFBD><CAB1><EFBFBD><EFBFBD><EFBFBD><EFBFBD>һ<EFBFBD><D2BB><EFBFBD>쳣<EFBFBD><ECB3A3><EFBFBD>ṩ<EFBFBD><E1B9A9><EFBFBD><EFBFBD><EFBFBD><EFBFBD>Ϣ<EFBFBD><CFA2>
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"""
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txt_url = base_url + "/file_list.txt"
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print(f"{txt_url}")
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try:
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response = requests.get(txt_url)
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response.raise_for_status()
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files_name = response.text.splitlines()
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files_name = [file.strip() for file in files_name if file.strip()]
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md5sum = [file_name.rsplit(':', 1)[-1] for file_name in files_name]
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file_name = [file_name.rsplit(':', 1)[0] for file_name in files_name]
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if not files_name:
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print("No valid files found.")
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return
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print(f"Found {len(files_name)} files")
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for i in range(len(file_name)):
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cur_url = base_url + f"/{file_name[i]}"
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path = download_file(cur_url, os.path.join(save_dir, file_name[i]), md5sum[i])
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if path:
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print(f"[✓] Success: {path}")
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else:
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print(f"[×] Failed: {cur_url}")
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except requests.exceptions.RequestException as e:
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raise Exception(f"Failed to download file list from {txt_url}: {str(e)}")
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def main():
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"""
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<20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ؾ<EFBFBD>̬ģ<CCAC>͡<EFBFBD>
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Args:
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<20><EFBFBD><DEB2><EFBFBD><EFBFBD><EFBFBD>
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Returns:
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bool: <20><><EFBFBD><EFBFBD>False<73><65><EFBFBD><EFBFBD>ʾ<EFBFBD>ú<EFBFBD><C3BA><EFBFBD>û<EFBFBD>з<EFBFBD><D0B7><EFBFBD>ֵ<EFBFBD><D6B5>
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Raises:
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ValueError (BaseException): <20><><EFBFBD>ģ<EFBFBD><C4A3><EFBFBD><EFBFBD><EFBFBD>Ʋ<EFBFBD><C6B2><EFBFBD>֧<EFBFBD><D6A7><EFBFBD>б<EFBFBD><D0B1>У<EFBFBD><D0A3><EFBFBD><EFBFBD><EFBFBD>׳<EFBFBD>ValueError<6F>쳣<EFBFBD><ECB3A3>
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"""
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args = parse_arguments()
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print(f"Save Path: {os.path.abspath(args.dir)}")
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# make dir
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path = os.path.join(args.dir, args.model_name)
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os.makedirs(path, exist_ok=True)
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model_name = args.model_name
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env = os.environ
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# Define supported model patterns
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supported_patterns = [
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r".*Qwen.*",
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r".+Llama.+",
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r".+Mixtral.+",
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r".+DeepSeek.+",
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]
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# Check if model_name matches any supported pattern
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if not any(re.match(pattern, model_name) for pattern in supported_patterns):
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raise ValueError(
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f"{model_name} is not in the supported list. Currently supported models: Qwen, Llama, Mixtral, DeepSeek.",
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f"Please check the model name from this document ",
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"https://github.com/PaddlePaddle/PaddleNLP/blob/develop/llm/server/docs/static_models.md"
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)
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print(f"Start downloading model: {model_name}")
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tag = env.get("tag")
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base_url = f"https://paddlenlp.bj.bcebos.com/models/static/{tag}/{model_name}"
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temp_file = None
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if args.nnodes == 1:
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temp_file = "model"
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elif args.nnodes > 1:
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if args.mode == "master":
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temp_file = "node1"
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elif args.mode == "slave":
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temp_file = "node2"
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else:
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raise ValueError(f"Invalid mode: {args.mode}. Mode must be 'master' or 'slave'.")
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else:
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raise ValueError(f"Invalid nnodes: {args.nnodes}. nnodes must be >= 1.")
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if temp_file:
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model_url = base_url + f"/{temp_file}"
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download_from_txt(model_url, path)
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else:
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print(f"Don't support download the {model_name} in mode {args.mode}")
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if args.speculate_model_path:
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os.makedirs(args.speculate_model_path, exist_ok=True)
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print(f"Start downloading mtp model: {model_name}")
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model_url = base_url + "/mtp"
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download_from_txt(model_url, args.speculate_model_path)
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if __name__ == "__main__":
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main()
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