ci : check that pre-tokenizer hashes are up-to-date#15032
Merged
Conversation
github-actions
Bot
added
python
ggerganov
approved these changes
Aug 2, 2025
blime4
referenced
this pull request
in blime4/llama.cpp
Feb 5, 2026
* torch is not required for convert_hf_to_gguf_update * add --check-missing parameter * check that pre-tokenizer hashes are up-to-date
Seunghhon
pushed a commit
to Seunghhon/llama.cpp
that referenced
this pull request
Apr 26, 2026
* torch is not required for convert_hf_to_gguf_update * add --check-missing parameter * check that pre-tokenizer hashes are up-to-date
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
2 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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Adds a new CI that checks model pre-tokenizer hashes to ensure
convert_hf_to_gguf.pyandconvert_hf_to_gguf_update.pyare synced.Adds a new
--check-missingparameter toconvert_hf_to_gguf_update.py(disables download so that any missing models will throw an error).