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help. https://pastebin.com/6gi3tBkd

It seems the content of the Pastebin link is not publicly accessible or has been removed. Unfortunately, without knowing what the content is, I can't directly help you with it.

Could you perhaps describe what you were hoping to get help with regarding that link? If you can provide some context, I might be able to offer some general guidance or point you in the right direction.

no i meant deepseek v3 dl cmd to the dir G:\Voxta_Server

ChatGPT said:

To download the DeepSeek-V3 model directly into your G:\Voxta_Server directory, you can use the following Python command:

GitHub

DEV Community

bash

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python -c "import os; os.environ['HF_HUB_ENABLE_HF_TRANSFER'] = '1'; from huggingface_hub import snapshot_download; snapshot_download(repo_id='unsloth/DeepSeek-V3-0324-GGUF', local_dir='G:/Voxta_Server', allow_patterns=['*UD-Q2_K_XL*'])"

Explanation of the command:

HF_HUB_ENABLE_HF_TRANSFER=1 enables the use of hf_transfer, which accelerates the download process.

DEV Community

Welcome | Unsloth Documentation

repo_id='unsloth/DeepSeek-V3-0324-GGUF' specifies the repository from which to download the model.

DEV Community

Welcome | Unsloth Documentation

local_dir='G:/Voxta_Server' sets your desired download directory.

DEV Community

allow_patterns=['*UD-Q2_K_XL*'] filters the files to download only the UD-Q2_K_XL quantized version, which offers a good balance between performance and resource usage.

DEV Community

Welcome | Unsloth Documentation

Before running the command:

Ensure you have Python installed on your system.

Install the required packages by running:

Hugging Face

bash

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pip install huggingface_hub hf_transfer

Verify that you have sufficient disk space, as the model files can be sizable.

Hugging Face

GitHub

Once the download is complete, you can integrate the model with your local setup, such as using it with llama.cpp or other compatible inference tools.

DEV Community

If you need assistance with running the model or integrating it into your workflow, feel free to ask!

Sources

You said:

Microsoft Windows [Version 10.0.22631.5189]

G:\Voxta_Server>python -c "import os; os.environ['HF_HUB_ENABLE_HF_TRANSFER'] = '1'; from huggingface_hub import snapshot_download; snapshot_download(repo_id='unsloth/DeepSeek-V3-0324-GGUF', local_dir='G:/Voxta_Server', allow_patterns=['*UD-Q2_K_XL*'])"

Traceback (most recent call last):

File "C:\Python310\lib\site-packages\huggingface_hub\file_download.py", line 363, in http_get

import hf_transfer # type: ignore[no-redef]

ModuleNotFoundError: No module named 'hf_transfer'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):

File "<string>", line 1, in <module>

File "C:\Python310\lib\site-packages\huggingface_hub\utils\_validators.py", line 114, in _inner_fn

return fn(*args, **kwargs)

File "C:\Python310\lib\site-packages\huggingface_hub\_snapshot_download.py", line 294, in snapshot_download

_inner_hf_hub_download(file)

File "C:\Python310\lib\site-packages\huggingface_hub\_snapshot_download.py", line 270, in _inner_hf_hub_download

return hf_hub_download(

File "C:\Python310\lib\site-packages\huggingface_hub\utils\_validators.py", line 114, in _inner_fn

return fn(*args, **kwargs)

File "C:\Python310\lib\site-packages\huggingface_hub\file_download.py", line 941, in hf_hub_download

return _hf_hub_download_to_local_dir(

File "C:\Python310\lib\site-packages\huggingface_hub\file_download.py", line 1241, in _hf_hub_download_to_local_dir

_download_to_tmp_and_move(

File "C:\Python310\lib\site-packages\huggingface_hub\file_download.py", line 1675, in _download_to_tmp_and_move

http_get(

File "C:\Python310\lib\site-packages\huggingface_hub\file_download.py", line 365, in http_get

raise ValueError(

ValueError: Fast download using 'hf_transfer' is enabled (HF_HUB_ENABLE_HF_TRANSFER=1) but 'hf_transfer' package is not available in your environment. Try pip install hf_transfer.

G:\Voxta_Server>

ChatGPT said:

To download the DeepSeek-V3-0324 model to your G:\Voxta_Server directory, you'll need to install the hf_transfer package, as it's required for fast downloads when the HF_HUB_ENABLE_HF_TRANSFER environment variable is set to '1'. Here's how you can do it:

Install the hf_transfer package:

Open your command prompt and run the following command:

bash

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Edit

pip install hf_transfer

This will install the necessary package to enable fast downloads from Hugging Face.

Download the DeepSeek-V3-0324 model:

After installing hf_transfer, you can proceed to download the model using the following Python command:

python

Copy

Edit

import os

os.environ['HF_HUB_ENABLE_HF_TRANSFER'] = '1'

from huggingface_hub import snapshot_download

snapshot_download(

repo_id='unsloth/DeepSeek-V3-0324-GGUF',

local_dir='G:/Voxta_Server',

allow_patterns=['*UD-Q2_K_XL*']

)

This command sets the environment variable to enable fast downloads and then downloads the specified model to your G:\Voxta_Server directory.

If you encounter any issues during the download or have further questions, feel free to ask!

Sources

You said:

G:\Voxta_Server>pip install hf_transfer

Collecting hf_transfer

Downloading hf_transfer-0.1.9-cp38-abi3-win_amd64.whl (1.2 MB)

---------------------------------------- 1.2/1.2 MB 8.2 MB/s eta 0:00:00

Installing collected packages: hf_transfer

Successfully installed hf_transfer-0.1.9

[notice] A new release of pip available: 22.2.1 -> 25.0.1

[notice] To update, run: python.exe -m pip install --upgrade pip

G:\Voxta_Server>import os

'import' is not recognized as an internal or external command,