Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

update README memory requirements #2342

Merged
merged 1 commit into from
Jun 20, 2024
Merged

update README memory requirements #2342

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion examples/llama7b_sparse_quantized/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@

This example uses SparseML and Compressed-Tensors to create a 2:4 sparse and quantized Llama2-7b model.
The model is calibrated and trained with the ultachat200k dataset.
At least 75GB of GPU memory is required to run this example.
At least 85GB of GPU memory is required to run this example.

Follow the steps below one by one in a code notebook, or run the full example script
as `python examples/llama7b_sparse_quantized/llama7b_sparse_w4a16.py`
Expand Down
Loading