Add quantization support for TGI #757
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
annapendleton
approved these changes
Jul 30, 2024
benchmarks/inference-server/text-generation-inference/variables.tf
Outdated
Show resolved
Hide resolved
leroyjb
pushed a commit
to leroyjb/ai-on-gke
that referenced
this pull request
Jan 24, 2025
* Add quantization support for TGI * Fix formatting * Move comment into description
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Outdated suggestions cannot be applied.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.
This change adds quantization support so we can use quantization techniques like eetq, bitsandbytes, etc. when deploying models using TGI. It allows us to benchmark models like Llama3 405B using FP8 too.