llama export with input vocab pruning #6421
Merged
Conversation
This file contains hidden or 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
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/6421
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 30ee66a with merge base ca47839 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
facebook-github-bot
added
the
CLA Signed
Contributor
|
This pull request was exported from Phabricator. Differential Revision: D64723663 |
Contributor
|
This pull request was exported from Phabricator. Differential Revision: D64723663 |
navsud
added a commit
to navsud/executorch
that referenced
this pull request
Oct 21, 2024
Summary: Pull Request resolved: pytorch#6421 D62143905 added llama model export with output vocab pruning. In the similar lines, this diff applies the same for input vocabulary pruning. The assumption here is: we have trained the model with full vocab and we are pruning out the input vocab after the model training, at export time. Reviewed By: iseeyuan Differential Revision: D64723663
navsud
force-pushed
the
export-D64723663
branch
from
26ccf64 to
df4181c
Compare
Contributor
|
This pull request was exported from Phabricator. Differential Revision: D64723663 |
navsud
force-pushed
the
export-D64723663
branch
from
df4181c to
cd84816
Compare
navsud
added a commit
to navsud/executorch
that referenced
this pull request
Oct 22, 2024
Summary: Pull Request resolved: pytorch#6421 D62143905 added llama model export with output vocab pruning. In the similar lines, this diff applies the same for input vocabulary pruning. The assumption here is: we have trained the model with full vocab and we are pruning out the input vocab after the model training, at export time. Reviewed By: iseeyuan Differential Revision: D64723663
Contributor
|
This pull request was exported from Phabricator. Differential Revision: D64723663 |
navsud
added a commit
to navsud/executorch
that referenced
this pull request
Oct 22, 2024
Summary: Pull Request resolved: pytorch#6421 D62143905 added llama model export with output vocab pruning. In the similar lines, this diff applies the same for input vocabulary pruning. The assumption here is: we have trained the model with full vocab and we are pruning out the input vocab after the model training, at export time. Reviewed By: iseeyuan Differential Revision: D64723663
navsud
force-pushed
the
export-D64723663
branch
from
cd84816 to
c90592c
Compare
navsud
added a commit
to navsud/executorch
that referenced
this pull request
Oct 22, 2024
Summary: Pull Request resolved: pytorch#6421 D62143905 added llama model export with output vocab pruning. In the similar lines, this diff applies the same for input vocabulary pruning. The assumption here is: we have trained the model with full vocab and we are pruning out the input vocab after the model training, at export time. Reviewed By: iseeyuan Differential Revision: D64723663
navsud
force-pushed
the
export-D64723663
branch
from
c90592c to
af8e4d7
Compare
Contributor
|
This pull request was exported from Phabricator. Differential Revision: D64723663 |
1 similar comment
Contributor
|
This pull request was exported from Phabricator. Differential Revision: D64723663 |
navsud
added a commit
to navsud/executorch
that referenced
this pull request
Oct 22, 2024
Summary: Pull Request resolved: pytorch#6421 D62143905 added llama model export with output vocab pruning. In the similar lines, this diff applies the same for input vocabulary pruning. The assumption here is: we have trained the model with full vocab and we are pruning out the input vocab after the model training, at export time. Reviewed By: iseeyuan Differential Revision: D64723663
navsud
force-pushed
the
export-D64723663
branch
from
af8e4d7 to
62f0de1
Compare
Summary: Pull Request resolved: pytorch#6421 D62143905 added llama model export with output vocab pruning. In the similar lines, this diff applies the same for input vocabulary pruning. The assumption here is: we have trained the model with full vocab and we are pruning out the input vocab after the model training, at export time. Reviewed By: iseeyuan Differential Revision: D64723663
Contributor
|
This pull request was exported from Phabricator. Differential Revision: D64723663 |
navsud
force-pushed
the
export-D64723663
branch
from
62f0de1 to
30ee66a
Compare
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
3 participants
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.
Summary:
D62143905 added llama model export with output vocab pruning. In the similar lines, this diff applies the same for input vocabulary pruning.
The assumption here is: we have trained the model with full vocab and we are pruning out the input vocab after the model training, at export time.
Reviewed By: iseeyuan
Differential Revision: D64723663