NNCF Compress PT2E Support#14
Closed
anzr299 wants to merge 9 commits intocavusmustafa:openvino_llama_supportfrom
Closed
NNCF Compress PT2E Support#14anzr299 wants to merge 9 commits intocavusmustafa:openvino_llama_supportfrom
anzr299 wants to merge 9 commits intocavusmustafa:openvino_llama_supportfrom
Conversation
Openvino llama support
cavusmustafa
reviewed
Nov 3, 2025
| raise ImportError( | ||
| "Please install nncf via backends/openvino/requirements.txt" | ||
| ) | ||
| tokenizer = get_tokenizer(builder_exported.tokenizer_path) |
Owner
There was a problem hiding this comment.
I wonder if we can use helper functions to reduce this part of the code inside export_llama_lib.py maybe?
Author
|
Closing as opened a draft PR here instead: pytorch#16002 |
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
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Summary
Add compress pt2e to the openvino llama example flow. This change allows users to employ algorithms like AWQ, scale estimation etc.