Premature end of pack file when git cloning with VSCode with Azure Machine Learning

Question

We are having difficulty cloning our repository as shown in the attached screenshot when cloned through Azure Machine Learning terminal:

Answer 1

Hello Justin Bang,

Welcome to Microsoft Q&A and Thank you for reaching out.

I understand you’re hitting a “premature end of pack file / invalid index-pack output” error while cloning a Git repository from Azure Repos using the Azure Machine Learning (AML) terminal. This is a fairly common issue in managed compute environments and is almost never caused by a problem with the repository itself.

What the error means

This error indicates that Git started receiving objects from Azure Repos, but the transfer was interrupted or corrupted mid-stream. Azure Repos successfully begins sending objects, but the connection drops or the data stream becomes inconsistent before Git can fully unpack it.

In Azure ML, this usually points to network instability, transport issues, or resource constraints rather than authentication or repo corruption.

Most common causes in Azure ML

• Unstable outbound network from the compute instance
• HTTP/2 + Git compression issues
• Low memory or disk on smaller compute SKUs
• Interrupted long-running connections in VS Code Remote / AML terminals
• Partial or corrupted pack files from previous failed clone attempts

Recommended fixes

1.Disable Git compression

git config --global core.compression 0

This avoids pack corruption over unstable connections.

2.Force Git to use HTTP/1.1

Azure ML environments sometimes have issues with HTTP/2:

git config --global http.version HTTP/1.1

3.Increase Git buffer size

git config --global http.postBuffer 524288000

4.Clean up any partial clone before retrying

If a failed clone already exists:

rm -rf <repo-folder>
git gc --prune=now
git clone <repo-url>

5.Try a shallow clone

git clone --depth=1 <repo-url>

This significantly reduces the amount of data transferred and often succeeds immediately.

6.Clone to local disk instead of shared storage

If you’re cloning into a shared or mounted filesystem, try cloning directly into the local disk on the compute instance, which is more reliable and faster.

7.Check compute resources

Make sure the AML compute instance:

Isn’t a very small SKU

Has sufficient free disk and memory

You can verify with:

df -h
free -h

Low memory can cause index-pack failures.

Network & authentication considerations

Ensure outbound HTTPS access to Azure Repos is allowed (especially if using VNet or private endpoints)

If possible, try SSH-based cloning instead of HTTPS

Restarting the compute instance can help clear transient network issues

This is not a repository issue

It’s a Git transport / network issue in Azure ML

Disabling compression and forcing HTTP/1.1 resolves the issue in most cases.

Please refer this

• Git integration for Azure Machine Learning
• Azure Machine Learning CLI reference
• Self Help - Can't connect to Jupyter or VSCode from my Notebook

I Hope this helps. Do let me know if you have any further queries.

Thank you!