docs: add note on ephemeral storage #106
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Signed-off-by: Anh-Uong <[email protected]>
anhuong
force-pushed
the
docs-ephemeral-storage
branch
from
11e9b96 to
8ac34a0
Compare
Ssukriti
reviewed
Apr 2, 2024
Co-authored-by: Sukriti Sharma <[email protected]> Signed-off-by: Anh Uong <[email protected]>
Signed-off-by: Anh-Uong <[email protected]>
anhuong
force-pushed
the
docs-ephemeral-storage
branch
from
fca4967 to
93cb72b
Compare
Ssukriti
approved these changes
Apr 5, 2024
jbusche
pushed a commit
to jbusche/fms-hf-tuning
that referenced
this pull request
Apr 9, 2024
* docs: add note on ephemeral storage Signed-off-by: Anh-Uong <[email protected]> * review suggestion, reword docs Co-authored-by: Sukriti Sharma <[email protected]> Signed-off-by: Anh Uong <[email protected]> --------- Signed-off-by: Anh-Uong <[email protected]> Signed-off-by: Anh Uong <[email protected]> Co-authored-by: Sukriti Sharma <[email protected]>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Provide more specific details and better kube use case of tuning LLM with sft_trainer.