chore(exllama): drop exllama backend #3536
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
For polishing and cleaning up it makes now sense to drop exllama which is completely unmaintained, and was only supporting the llamav1 architecture (nowadays it's superseded by llamav1) . Signed-off-by: Ettore Di Giacinto <[email protected]>
✅ Deploy Preview for localai ready!
To edit notification comments on pull requests, go to your Netlify site configuration. |
mudler
force-pushed
the
exllama_drop
branch
from
89d1075
to
c291032
Compare
downgrade to latest known version of the gosec action Signed-off-by: Ettore Di Giacinto <[email protected]>
mudler
force-pushed
the
exllama_drop
branch
from
c291032
to
63c5d84
Compare
dave-gray101
approved these changes
Sep 13, 2024
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Outdated suggestions cannot be applied.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.
For polishing and cleaning up it makes now sense to drop exllama which is completely unmaintained, and was only supporting the llamav1 architecture (nowadays it's superseded by llamav3) .