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

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DEV Community

+1

 

bash

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Edit

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

+1

Welcome | Unsloth Documentation

+1

 

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

DEV Community

+1

Welcome | Unsloth Documentation

+1

 

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

+1

Welcome | Unsloth Documentation

+1

 

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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Edit

pip install huggingface_hub hf_transfer

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

Hugging Face

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GitHub

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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]

(c) Microsoft Corporation. All rights reserved.

 

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

Copy

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,

operable program or batch file.

 

G:\Voxta_Server>os.environ['HF_HUB_ENABLE_HF_TRANSFER'] = '1'

'os.environ['HF_HUB_ENABLE_HF_TRANSFER']' is not recognized as an internal or external command,

operable program or batch file.

 

G:\Voxta_Server>from huggingface_hub import snapshot_download

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

operable program or batch file.

 

G:\Voxta_Server>

G:\Voxta_Server>snapshot_download(

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

operable program or batch file.

 

G:\Voxta_Server> repo_id='unsloth/DeepSeek-V3-0324-GGUF',

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

operable program or batch file.

 

G:\Voxta_Server> local_dir='G:/Voxta_Server',

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

operable program or batch file.

 

G:\Voxta_Server> allow_patterns=['*UD-Q2_K_XL*']

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

operable program or batch file.

 

G:\Voxta_Server>)

G:\Voxta_Server>

 

 

ChatGPT said:

I've set up a Python script that will download the DeepSeek-V3 model to your G:/Voxta_Server directory using the correct method. You can run it by saving it as a .py file (e.g., download_deepseek.py) and then running:

 

bash

Copy

Edit

python download_deepseek.py

Let me know if you want this as a .bat or .ps1 file instead.

 

 

 

 

 

 

 

You said:

bat

 

 

ChatGPT said:

​To download the DeepSeek-V3-0324 GGUF model to your G:\Voxta_Server directory, you can use the following Python script. This script sets the necessary environment variable and utilizes the huggingface_hub library to download the model:​

DEV Community

+4

Unsloth

+4

Hugging Face

+4

 

python

Copy

Edit

import os

from huggingface_hub import snapshot_download

 

# Enable fast download

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

 

# Download the model

snapshot_download(

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

local_dir="G:/Voxta_Server",

allow_patterns=["*UD-Q2_K_XL*"] # Adjust the pattern if you prefer a different quantization

)

Instructions:

 

Ensure you have Python installed on your system.​

 

Install the required libraries if you haven't already:​

 

bash

Copy

Edit

pip install huggingface_hub hf_transfer

Save the above Python script to a file, for example, download_deepseek.py.​

 

Open a Command Prompt and navigate to the directory containing download_deepseek.py.​

 

Run the script:​

 

bash

Copy

Edit

python download_deepseek.py

This will download the DeepSeek-V3-0324 GGUF model with the specified quantization to your G:\Voxta_Server directory.​

DEV Community

+5

Hugging Face

+5

Unsloth

+5

 

Note: The allow_patterns parameter is set to "*UD-Q2_K_XL*" to download the 2.71-bit quantization, which offers a good balance between performance and resource usage. If you prefer a different quantization level, adjust the pattern accordingly.​

 

Let me know if you need further assistance or have questions about running the model after downloading.

 

 

 

Sources

 

 

 

 

 

 

You said:

why cant you use the same method we downloaded mythos from thebloke

 

 

ChatGPT said:

​To download the DeepSeek-V3 model to your G:\Voxta_Server directory using the same method you used for downloading MythoMax from TheBloke, you can utilize the huggingface-cli tool. Here's how you can do it:​

 

Step 1: Install huggingface_hub and hf_transfer

First, ensure you have the necessary Python packages installed. Open your command prompt and run:​

 

bash

Copy

Edit

pip install huggingface_hub hf_transfer

Step 2: Set Environment Variable for Fast Download

To enable fast downloads using hf_transfer, set the environment variable HF_HUB_ENABLE_HF_TRANSFER to 1:​

 

bash

Copy

Edit

set HF_HUB_ENABLE_HF_TRANSFER=1

Step 3: Download the Model Using huggingface-cli

Now, use the huggingface-cli to download the desired model files. For DeepSeek-V3, you can run:​

Hugging Face

 

bash

Copy

Edit

huggingface-cli download unsloth/DeepSeek-V3-0324-GGUF --local-dir G:\Voxta_Server --local-dir-use-symlinks False --include='*Q4_K_M*'

This command will download all files matching the pattern *Q4_K_M* from the unsloth/DeepSeek-V3-0324-GGUF repository to your G:\Voxta_Server directory.​

 

Note: Replace *Q4_K_M* with the specific file pattern you wish to download if different.​

 

Alternative: Using snapshot_download in Python

If you prefer using Python, you can use the snapshot_download function from the huggingface_hub library:​

 

python

Copy

Edit

import os

from huggingface_hub import snapshot_download

 

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

 

snapshot_download(

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

local_dir='G:/Voxta_Server',

allow_patterns=['*Q4_K_M*']

)

This script will download the files matching the pattern *Q4_K_M* to your specified directory.​

 

Note: Ensure that the huggingface_hub and hf_transfer packages are installed in your Python environment.​

 

Let me know if you need further assistance or have any other questions!

 

 

 

Sources

 

 

 

 

 

 

You said:

G:\Voxta_Server>huggingface-cli download unsloth/DeepSeek-V3-0324-GGUF --local-dir G:\Voxta_Server --local-dir-use-symlinks False --include='*Q4_K_M*'

C:\Python310\lib\site-packages\huggingface_hub\commands\download.py:139: FutureWarning: Ignoring --local-dir-use-symlinks. Downloading to a local directory does not use symlinks anymore.

warnings.warn(

G:\Voxta_Server

 

G:\Voxta_Server>

 

 

ChatGPT said:

It seems you're encountering issues with downloading the DeepSeek-V3 model using the Hugging Face CLI, particularly related to symlink handling on Windows. Let's address this step by step.

 

✅ Recommended Download Method for Windows

On Windows, symlink creation can be problematic due to permission restrictions. To avoid these issues, you can use the huggingface-cli with the --local-dir-use-symlinks False option, which copies files directly instead of creating symlinks.​

 

Here's how you can download the DeepSeek-V3 model to your G:\Voxta_Server directory:

 

bash

Copy

Edit

huggingface-cli download unsloth/DeepSeek-V3-0324-GGUF --local-dir G:\Voxta_Server --local-dir-use-symlinks False --include="*Q4_K_M*"

Note:

 

Ensure you have the latest version of huggingface_hub installed. If not, update it using:​

 

bash

Copy

Edit

pip install --upgrade huggingface_hub

The --include parameter filters the files to download only those matching the pattern *Q4_K_M*. Adjust this pattern if you're targeting different quantization formats.​

 

⚡ Optional: Accelerate Downloads with hf_transfer

For faster downloads, especially for large models, you can use the hf_transfer library.​

Hugging Face

+9

Hugging Face

+9

Stack Overflow

+9

 

Install hf_transfer:

 

bash

Copy

Edit

pip install hf_transfer

Set the environment variable to enable hf_transfer:

 

bash

Copy

Edit

set HF_HUB_ENABLE_HF_TRANSFER=1

Run the download command:

 

bash

Copy

Edit

huggingface-cli download unsloth/DeepSeek-V3-0324-GGUF --local-dir G:\Voxta_Server --local-dir-use-symlinks False --include="*Q4_K_M*"

Note: Ensure that the set command is run in the same command prompt session where you execute the download command, so the environment variable is recognized.​

 

🛠️ Troubleshooting Tips

Symlink Issues: If you encounter errors related to symlinks, double-check that you're using the --local-dir-use-symlinks False option, which avoids creating symlinks altogether.​

 

Permission Errors: Run the command prompt as an administrator to ensure sufficient permissions for file operations.​

 

Rate Limiting: If you face rate-limiting issues (e.g., HTTP 429 errors), consider authenticating with Hugging Face using:​

 

bash

Copy

Edit

huggingface-cli login

This can help bypass certain download restrictions.​

 

If you continue to experience issues or need further assistance with setting up or using the DeepSeek-V3 model, feel free to ask!

 

 

 

Sources

 

 

 

 

 

 

You said:

that worked. v3 it is a big boy

 

 

ChatGPT said:

​It's great to hear that you've successfully downloaded DeepSeek-V3 into your G:\Voxta_Server directory using the huggingface-cli method. Indeed, DeepSeek-V3 is a substantial model, with quantized versions ranging from approximately 173GB to over 400GB in size, depending on the specific quantization level chosen .​

apidog

+1

PromptLayer

+1

 

If you need assistance with setting up or running the model, feel free to ask!

 

 

 

Sources

 

 

 

 

 

 

You said:

so close. i'll have to revisit this at another time:

 

C:\Python310\lib\site-packages\huggingface_hub\commands\download.py:139: FutureWarning: Ignoring --local-dir-use-symlinks. Downloading to a local directory does not use symlinks anymore.

warnings.warn(

Downloading 'Q4_K_M/DeepSeek-V3-0324-Q4_K_M-00001-of-00009.gguf' to 'G:\Voxta_Server\.cache\huggingface\download\Q4_K_M\U34UTmi4nxFlagwkBzcOmR_PA1M=.02381ba6cb2e0b5ba4924b6be1938d0f47ac0253c356b684b7497591c4d434fe.incomplete'

(…)pSeek-V3-0324-Q4_K_M-00001-of-00009.gguf: 85%|█████████████████████████▍ | 40.9G/48.3G [1:00:07<10:51, 11.3MB/s]

Traceback (most recent call last):

File "C:\Python310\lib\site-packages\huggingface_hub\file_download.py", line 423, in http_get

hf_transfer.download(

Exception: Error while removing corrupted file: The process cannot access the file because it is being used by another process. (os error 32)

 

The above exception was the direct cause of the following exception:

 

Traceback (most recent call last):

File "C:\Python310\lib\runpy.py", line 196, in _run_module_as_main

return _run_code(code, main_globals, None,

File "C:\Python310\lib\runpy.py", line 86, in _run_code

exec(code, run_globals)

File "C:\Python310\Scripts\huggingface-cli.exe\__main__.py", line 7, in <module>

File "C:\Python310\lib\site-packages\huggingface_hub\commands\huggingface_cli.py", line 57, in main

service.run()

File "C:\Python310\lib\site-packages\huggingface_hub\commands\download.py", line 153, in run

print(self._download()) # Print path to downloaded files

File "C:\Python310\lib\site-packages\huggingface_hub\commands\download.py", line 187, in _download

return snapshot_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\_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 434, in http_get

raise RuntimeError(

RuntimeError: An error occurred while downloading using hf_transfer. Consider disabling HF_HUB_ENABLE_HF_TRANSFER for better error handling.

 

 

ChatGPT said:

It seems you've successfully initiated the download of DeepSeek-V3-0324 using the huggingface-cli method, which is a reliable approach for large models. However, the process encountered an error due to a file being in use by another process, leading to a download interruption.​

 

🛠️ Resolving the Download Interruption

The error message indicates that the file DeepSeek-V3-0324-Q4_K_M-00001-of-00009.gguf couldn't be removed because it was being used by another process. This is a common issue on Windows systems when a file is locked by another application.​

 

Steps to resolve:

 

Close any applications that might be accessing files in the G:\Voxta_Server directory. This includes text editors, file explorers, or any other programs that might have the file open.

 

Delete the incomplete file manually:

 

Navigate to G:\Voxta_Server\.cache\huggingface\download\Q4_K_M\U34UTmi4nxFlagwkBzcOmR_PA1M=.02381ba6cb2e0b5ba4924b6be1938d0f47ac0253c356b684b7497591c4d434fe.incomplete

 

Delete this .incomplete file to allow a fresh download.

 

Restart the download:

 

Re-run the huggingface-cli download command:

 

bash

Copy

Edit

huggingface-cli download unsloth/DeepSeek-V3-0324-GGUF --local-dir G:\Voxta_Server --local-dir-use-symlinks False --include='*Q4_K_M*'

This should resume the download and complete it successfully.

 

Optional: If you continue to experience issues, consider disabling the hf_transfer acceleration by unsetting the environment variable HF_HUB_ENABLE_HF_TRANSFER or setting it to '0'. This can be done in your command prompt before initiating the download:​

 

bash

Copy

Edit

set HF_HUB_ENABLE_HF_TRANSFER=0

This will revert to the standard download method, which may be more stable on some systems.​

 

Let me know if you need further assistance or if you encounter any other issues during the process.

 

 

Sources

 

 

 

 

 

 

You said:

the only things i had open where chrome and the cmd box. that file was downloading so how could it be in use?

 

 

ChatGPT said:

It seems you're encountering a common issue when downloading large models using hf_transfer. The error message indicates that the file is being used by another process, which can happen if the download process itself is accessing the file while attempting to remove a corrupted version. ​

GitHub

 

To resolve this, you can disable hf_transfer and use the standard download method provided by Hugging Face. This method offers better error handling and is more stable for large file downloads.​

 

Here's how you can proceed:

 

Disable hf_transfer: Remove or comment out any lines in your script that set the HF_HUB_ENABLE_HF_TRANSFER environment variable.​

 

Use huggingface-cli for downloading: Instead of using Python scripts, you can use the command-line interface to download the model. For example:​

 

cmd

Copy

Edit

huggingface-cli download unsloth/DeepSeek-V3-0324-GGUF --local-dir G:\Voxta_Server --include='*Q4_K_M*'

This command will download the specified model files directly to your G:\Voxta_Server directory.

 

Ensure no other processes are accessing the file: Before starting the download, make sure that no other applications (like antivirus software or backup tools) are accessing the target file or directory. You can use tools like Process Explorer to identify and terminate such processes.​

 

Check disk space: Ensure that you have sufficient disk space on the drive where you're downloading the model. Large models can require tens of gigabytes of free space.​

Hugging Face Forums

+6

Hugging Face Forums

+6

Reddit

+6

 

By following these steps, you should be able to download the model without encountering the file-in-use error. If you continue to experience issues, consider restarting your computer to ensure no lingering processes are holding onto the file.

 

 

 

Sources

 

 

 

 

 

 

You said:

???

 

chatgpt:

 

⚡ Optional: Accelerate Downloads with hf_transfer

For faster downloads, especially for large models, you can use the hf_transfer library.​

Hugging Face

+9

Hugging Face

+9

Stack Overflow

+9

 

Install hf_transfer:

 

bash

Copy

Edit

pip install hf_transfer

Set the environment variable to enable hf_transfer:

 

bash

Copy

Edit

set HF_HUB_ENABLE_HF_TRANSFER=1

Run the download command:

 

bash

Copy

Edit

huggingface-cli download unsloth/DeepSeek-V3-0324-GGUF --local-dir G:\Voxta_Server --local-dir-use-symlinks False --include="*Q4_K_M*"

Note: Ensure that the set command is run in the same command prompt session where you execute the download command, so the environment variable is recognized.​

 

🛠️ Troubleshooting Tips

Symlink Issues: If you encounter errors related to symlinks, double-check that you're using the --local-dir-use-symlinks False option, which avoids creating symlinks altogether.​

 

Permission Errors: Run the command prompt as an administrator to ensure sufficient permissions for file operations.​

 

Rate Limiting: If you face rate-limiting issues (e.g., HTTP 429 errors), consider authenticating with Hugging Face using:​

 

bash

Copy

Edit

huggingface-cli login

This can help bypass certain download restrictions.​

 

If you continue to experience issues or need further assistance with setting up or using the DeepSeek-V3 model, feel free to ask!

 

 

ChatGPT said:

​The error you're encountering—“The process cannot access the file because it is being used by another process”—is a known issue when using hf_transfer for large model downloads on Windows systems. This typically occurs when the download process attempts to remove or overwrite a file that is still being accessed by another process, leading to a conflict. Even if only Chrome and the Command Prompt are open, background processes or antivirus software might be accessing the file, causing this error.​

 

Recommended Solution: Disable hf_transfer for Better Error Handling

 

While hf_transfer is designed for faster downloads, it lacks advanced error handling capabilities. Disabling it can provide more robust error management. You can disable hf_transfer by setting the environment variable HF_HUB_ENABLE_HF_TRANSFER to 0 in your Command Prompt session:​

 

cmd

Copy

Edit

set HF_HUB_ENABLE_HF_TRANSFER=0

:contentReference[oaicite:8]{index=8}

After setting this variable, retry your download command:​

 

cmd

Copy

Edit

huggingface-cli download unsloth/DeepSeek-V3-0324-GGUF --local-dir G:\Voxta_Server --local-dir-use-symlinks False --include="*Q4_K_M*"

:contentReference[oaicite:10]{index=10}

This approach has been effective for many users facing similar issues. ​

 

Additional Tips:

 

Run as Administrator: Ensure that you're running the Command Prompt with administrative privileges to avoid permission-related issues.​

 

Check for Background Processes: Use the Task Manager to identify and terminate any processes that might be accessing the download directory.​

 

Antivirus Interference: Temporarily disable your antivirus software during the download, as it might be scanning the files and causing access conflicts.​

 

Sufficient Disk Space: Verify that you have enough disk space to accommodate the large model files you're downloading.​

 

If you continue to experience issues or need further assistance, feel free to ask!

 

 

 

Sources

 

 

 

 

 

 

You said:

I know that im basically asking why did you suggest in the first place?

 

 

ChatGPT said:

Error while searching

 

 

 

 

 

 

You said:

I know that im basically asking why did you suggest in the first place?

 

 

ChatGPT said:

I understand your frustration with the download issues you've encountered. The hf_transfer tool is designed to accelerate downloads, especially for large files, but it can sometimes cause complications, particularly on Windows systems.​

 

Why hf_transfer Was Suggested

 

hf_transfer is a Rust-based utility developed by Hugging Face to enhance download speeds, often achieving rates exceeding 1GB/s. It's particularly beneficial for users with high-bandwidth connections, as it can significantly reduce download times compared to standard Python-based methods. Many users have reported substantial improvements in download speeds when using hf_transfer. ​

Reddit

 

Why It May Not Work as Expected

 

Despite its advantages, hf_transfer is considered a power-user tool and lacks some user-friendly features, such as advanced error handling. On Windows systems, users have reported issues where downloads hang or fail, especially when files are large or if the system attempts to access a file that's still in use. These issues can occur even if it seems that no other process is using the file.​

Hugging Face

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Hugging Face

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GitHub

 

Recommended Approach

 

Given these challenges, it's often more reliable to use the standard huggingface-cli download method without hf_transfer. Here's how you can do it:

 

Ensure hf_transfer is disabled: Before running the download command, make sure that the HF_HUB_ENABLE_HF_TRANSFER environment variable is not set. You can do this by closing and reopening your command prompt or by explicitly unsetting the variable.​

 

Use the huggingface-cli to download: Run the following command to download the model:​

 

bash

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Edit

huggingface-cli download unsloth/DeepSeek-V3-0324-GGUF --local-dir G:\Voxta_Server --local-dir-use-symlinks False --include="*Q4_K_M*"

This method may be slower than using hf_transfer, but it tends to be more stable and less prone to the issues you've experienced.​

 

Additional Tips

 

Run as Administrator: Ensure that you're running the command prompt with administrative privileges to avoid permission-related issues.​

 

Check for Antivirus Interference: Sometimes, antivirus software can interfere with file downloads. Consider temporarily disabling it during the download process.​

 

Monitor Disk Space: Ensure that you have sufficient disk space on the drive where you're downloading the files.​

 

If you continue to experience issues or need further assistance, feel free to ask!

 

 

 

 

 

Sources

 

 

 

 

 

 

You said:

i'll figure it out on my own. you are really laggy today. most be getting hit hard

 

 

ChatGPT said:

I understand your frustration with the download issues you're experiencing using hf_transfer. This tool is designed for high-speed downloads, but it's known to have limitations in error handling, especially with large files. Many users have reported similar issues where downloads hang or fail to resume properly. ​

GitHub

 

The error you're encountering—RuntimeError: An error occurred while downloading using hf_transfer. Consider disabling HF_HUB_ENABLE_HF_TRANSFER for better error handling.—is a common indication that hf_transfer is encountering problems. This could be due to various reasons, such as file locks, antivirus interference, or limitations in the tool's ability to handle certain network conditions.​

 

To address this, you might consider disabling hf_transfer to allow the default downloader to handle the process, which often provides better error handling. You can do this by unsetting the environment variable HF_HUB_ENABLE_HF_TRANSFER. In your command prompt, you can run:​

 

cmd

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set HF_HUB_ENABLE_HF_TRANSFER=0

Then, proceed with your download command as usual.​

 

Additionally, ensure that no other processes are accessing the file during the download, as this can cause conflicts. It's also advisable to disable any antivirus software temporarily during the download to prevent it from locking files.​

 

If you continue to experience issues, consider using alternative download methods, such as downloading the files directly from the Hugging Face website or using tools like aria2 for more robust downloading capabilities.

 

Let me know if you need further assistance or have other questions!



I'm sorry to hear that you feel I'm being laggy today and that you'll need to figure this out on your own. I understand that dealing with technical issues can be frustrating, especially when things aren't working as expected.

If you change your mind or run into any roadblocks later and decide you'd like to try troubleshooting again, please don't hesitate to reach out. I'll do my best to provide more timely and helpful assistance. Good luck with getting DeepSeek-V3 set up!





??? . that's so all you got? lol what is google even doing? seeya!!


I understand your disappointment. It's frustrating when you're expecting more and it feels like the resources aren't delivering. If you ever decide to give it another try, or if you have a different question in the future, I'll still be here, hoping to provide a better experience. Take care!





you know you are an ai and supposed to help troubleshoot things. anyways waht i pasted was my dialogue with chatgpt. i figure i'd share for context


Ah, I see! Thanks for sharing the dialogue with ChatGPT. That provides a lot more context about the issue you were facing with downloading DeepSeek-V3.

It looks like you ran into a persistent error related to file access during the download process, even after trying the suggested solutions. That can definitely be a frustrating situation.

If you're still looking to troubleshoot this or have any new questions related to it, feel free to let me know. Now that I have the background, I might be able to offer some additional insights or alternative approaches.





i just want to dl deepseek v3 quantized and that will run on 4090 to the dir on my computer to G:\Voxta_Server via cmd line from huggingface


Okay, I understand. You want to download a quantized version of DeepSeek-V3 that will run well on your RTX 4090 directly to the G:\Voxta_Server directory using the command line from Hugging Face.

Here's a command you can try using the huggingface-cli:

Bash

huggingface-cli download unsloth/DeepSeek-V3-0324-GGUF --local-dir G:\Voxta_Server --local-dir-use-symlinks False --include "*Q4_K_M*"
Explanation:

huggingface-cli download: This is the command-line tool provided by Hugging Face for downloading files from the Hub.
unsloth/DeepSeek-V3-0324-GGUF: This specifies the repository on Hugging Face containing the GGUF quantized models of DeepSeek-V3.
--local-dir G:\Voxta_Server: This tells the CLI to download the files to the G:\Voxta_Server directory on your computer.
--local-dir-use-symlinks False: This is important for Windows to avoid potential issues with symbolic links and ensures the files are directly copied to your directory.
--include "*Q4_K_M*": This filter will download files that match the pattern "Q4_K_M". This pattern typically corresponds to a Q4_K_M quantization, which offers a good balance between model size and performance for inference on capable hardware like your RTX 4090.
Before you run this command:

Ensure you have the huggingface-cli installed. If not, you can install it using pip:
Bash

pip install huggingface_hub
Make sure you have enough free space on your G: drive. Quantized models can still be quite large.
Open your Command Prompt (cmd.exe) and navigate to a directory where you want to execute the command. It doesn't necessarily have to be G:\Voxta_Server to run the download command.
After running the command, the Q4_K_M quantized files for DeepSeek-V3 should be downloaded into the G:\Voxta_Server directory.

Let me know if you encounter any issues or have further questions!





will that line fail at 86% because hf whatever that chagpt was trying to do?


That's a very insightful question based on your previous experience!

No, the command I just provided should not fail at 86% due to the hf_transfer issue you encountered with ChatGPT's suggestions.

Here's why:

My command doesn't explicitly enable hf_transfer: The command I gave you uses the standard huggingface-cli download functionality without setting the HF_HUB_ENABLE_HF_TRANSFER environment variable. This means it will use the default download method, which you found to be more stable.
The previous errors were specifically linked to hf_transfer: The traceback you shared earlier clearly indicated ModuleNotFoundError: No module named 'hf_transfer' and later RuntimeError: An error occurred while downloading using hf_transfer. These errors arose because hf_transfer either wasn't installed correctly or encountered an issue during its accelerated download process.
By using the basic huggingface-cli download command without any special flags for hf_transfer, you should bypass those specific errors. The download might proceed at a slightly slower pace compared to hf_transfer in ideal conditions, but it's likely to be more stable and avoid the "file in use" errors you were seeing.

In summary, the command I provided is designed to use the standard Hugging Face download mechanism and should not be affected by the hf_transfer issues you experienced previously.

Give that command a try, and let me know how it goes! I'm hoping for a much smoother download for you this time.





thank you for the help! sorry for coming at you like this with little context it just the chagpt textbox is like data dumpster and it just figures it out


You're very welcome! And no worries at all about the initial lack of context. I completely understand how frustrating it can be when you're trying to solve a technical issue, and sometimes you just need to vent or share the history to get to the core of the problem.

ChatGPT is indeed designed to handle a lot of conversational history and context, which can be helpful. However, as you experienced, it can sometimes lead down rabbit holes or suggest solutions that don't quite fit your specific situation.

My goal is to be helpful in a more direct way, especially once I have the necessary information. I appreciate you providing the context, as it allows me to give you more targeted and hopefully more effective solutions.

Please don't hesitate to reach out if you encounter any further issues or have more questions during the download process or with anything else. I'm here to help!






Thank You Gemini!


You're most welcome! I'm glad I could help. If you need anything else in the future, feel free to ask. Have a great rest of your evening there in Cazenovia!

Microsoft Windows [Version 10.0.22631.5189]
(c) Microsoft Corporation. All rights reserved.

G:\Voxta_Server>huggingface-cli download unsloth/DeepSeek-V3-0324-GGUF --local-dir G:\Voxta_Server --local-dir-use-symlinks False --include "*Q4_K_M*"
C:\Python310\lib\site-packages\huggingface_hub\commands\download.py:139: FutureWarning: Ignoring --local-dir-use-symlinks. Downloading to a local directory does not use symlinks anymore.
  warnings.warn(
Fetching 9 files:   0%|                                                                          | 0/9 [00:00<?, ?it/s]Downloading 'Q4_K_M/DeepSeek-V3-0324-Q4_K_M-00001-of-00009.gguf' to 'G:\Voxta_Server\.cache\huggingface\download\Q4_K_M\U34UTmi4nxFlagwkBzcOmR_PA1M=.02381ba6cb2e0b5ba4924b6be1938d0f47ac0253c356b684b7497591c4d434fe.incomplete' (resume from 15770583040/48339780320)
Downloading 'Q4_K_M/DeepSeek-V3-0324-Q4_K_M-00003-of-00009.gguf' to 'G:\Voxta_Server\.cache\huggingface\download\Q4_K_M\3yHGe8mpCkLwRZi9G0ojXTh6bGA=.d13cf5f74dced9269bf6d184f3ed9fe99c34f7b3de204274f301ca796fc3a07a.incomplete'
Downloading 'Q4_K_M/DeepSeek-V3-0324-Q4_K_M-00004-of-00009.gguf' to 'G:\Voxta_Server\.cache\huggingface\download\Q4_K_M\eA-5a68vRRUr8T9rTEU2VuePYSY=.86b7067284e2658ab58b3275796ed03e3922ce2eb86e43e170587feaa181fa89.incomplete'
Downloading 'Q4_K_M/DeepSeek-V3-0324-Q4_K_M-00008-of-00009.gguf' to 'G:\Voxta_Server\.cache\huggingface\download\Q4_K_M\lmKkRysVPpC5fiOGy0VN3SVtpB0=.cde24cd28c4f69eb562c8b82d9568cc4eca9728583dfc128e5a2ed4845c5f6bc.incomplete'
Downloading 'Q4_K_M/DeepSeek-V3-0324-Q4_K_M-00005-of-00009.gguf' to 'G:\Voxta_Server\.cache\huggingface\download\Q4_K_M\AZ0czlbT38TkK7WbnOQQTNYGnck=.cc4d169bcba80e0d1202ab6468dc18995926042b679eeb03e517f5c5418ad3c0.incomplete'
Downloading 'Q4_K_M/DeepSeek-V3-0324-Q4_K_M-00006-of-00009.gguf' to 'G:\Voxta_Server\.cache\huggingface\download\Q4_K_M\wqLLDk7ExY2JMzldghY72DEZiSg=.7743bdc666153c30c6f62cfe62e257fbf8f40e045d869ea10f5a5bbc4a7de9a0.incomplete'
Downloading 'Q4_K_M/DeepSeek-V3-0324-Q4_K_M-00002-of-00009.gguf' to 'G:\Voxta_Server\.cache\huggingface\download\Q4_K_M\0NVgrgJFzeIeEbqdkAIwd8jBlXw=.7b435d3d19e1cdeac905d87a0a164bc27c8d9a73b556d833a10dbb9db9ad394a.incomplete'
Downloading 'Q4_K_M/DeepSeek-V3-0324-Q4_K_M-00007-of-00009.gguf' to 'G:\Voxta_Server\.cache\huggingface\download\Q4_K_M\48e-XMnSHRHhzqBlKRTWwp-ZAKk=.efdb60fce78fc7bcab1377cef5795e12c6a0ecf0dc5c47a274502aca90100e0c.incomplete'

(…)pSeek-V3-0324-Q4_K_M-00004-of-00009.gguf:   0%|                              | 10.5M/48.3G [00:06<8:50:26, 1.52MB/s]
(…)pSeek-V3-0324-Q4_K_M-00007-of-00009.gguf:   0%|                              | 10.5M/49.4G [00:07<9:54:20, 1.39MB/s]
(…)pSeek-V3-0324-Q4_K_M-00005-of-00009.gguf:   0%|                              | 10.5M/49.4G [00:06<8:43:15, 1.57MB/s]
(…)pSeek-V3-0324-Q4_K_M-00006-of-00009.gguf:   0%|                             | 10.5M/48.3G [00:07<10:08:24, 1.32MB/s]
(…)pSeek-V3-0324-Q4_K_M-00001-of-00009.gguf:  33%|█████████▊                    | 15.8G/48.3G [00:09<7:52:03, 1.15MB/s]
(…)pSeek-V3-0324-Q4_K_M-00003-of-00009.gguf:   0%|                              | 21.0M/49.5G [00:11<7:04:00, 1.95MB/s]
(…)pSeek-V3-0324-Q4_K_M-00002-of-00009.gguf:   0%|                                         | 0.00/49.4G [00:00<?, ?B/s]
(…)pSeek-V3-0324-Q4_K_M-00008-of-00009.gguf:   0%|                              | 10.5M/46.9G [00:07<9:38:41, 1.35MB/s]
(…)pSeek-V3-0324-Q4_K_M-00004-of-00009.gguf:   0%|                              | 168M/48.3G [01:55<10:39:05, 1.25MB/s]
(…)pSeek-V3-0324-Q4_K_M-00007-of-00009.gguf:   0%|                               | 189M/49.4G [02:01<9:40:26, 1.41MB/s]
(…)pSeek-V3-0324-Q4_K_M-00005-of-00009.gguf:   0%|                              | 157M/49.4G [01:56<10:08:39, 1.35MB/s]
(…)pSeek-V3-0324-Q4_K_M-00006-of-00009.gguf:   0%|                               | 157M/48.3G [01:59<7:55:41, 1.69MB/s]
(…)pSeek-V3-0324-Q4_K_M-00001-of-00009.gguf:  33%|█████████▊                    | 15.9G/48.3G [01:53<7:03:42, 1.28MB/s]
(…)pSeek-V3-0324-Q4_K_M-00003-of-00009.gguf:   0%|                               | 168M/49.5G [02:00<9:55:54, 1.38MB/s]
(…)pSeek-V3-0324-Q4_K_M-00002-of-00009.gguf:   0%|                              | 126M/49.4G [01:56<11:40:15, 1.17MB/s]
(…)pSeek-V3-0324-Q4_K_M-00008-of-00009.gguf:   0%|                               | 189M/46.9G [02:00<9:33:38, 1.36MB/s]