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llama export with input vocab pruning #6421
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🔗 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. |
This pull request was exported from Phabricator. Differential Revision: D64723663 |
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LGTM.
This pull request was exported from Phabricator. Differential Revision: D64723663 |
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
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This pull request was exported from Phabricator. Differential Revision: D64723663 |
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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
This pull request was exported from Phabricator. Differential Revision: D64723663 |
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
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c90592c
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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
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This pull request was exported from Phabricator. Differential Revision: D64723663 |
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This pull request was exported from Phabricator. Differential Revision: D64723663 |
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
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
This pull request was exported from Phabricator. Differential Revision: D64723663 |
62f0de1
to
30ee66a
Compare
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