Optimized to run on 8Gb vram without OOM, Dynamic quantization [Do not Merge]#76
Open
nalexand wants to merge 2 commits intoHeartMuLa:mainfrom
Open
Optimized to run on 8Gb vram without OOM, Dynamic quantization [Do not Merge]#76nalexand wants to merge 2 commits intoHeartMuLa:mainfrom
nalexand wants to merge 2 commits intoHeartMuLa:mainfrom
Conversation
Optimize to run fast on 8Gb VRAM
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
1 participant
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
5.43 it/sec on 3070ti laptop 8Gb. (2.3 sec for each second of generated music)
Linear layers loading in Fp8, can be some degradation in quality. But still usable.
Before 280sec ~ 2hr
After 280sec ~ 10min
Python 3.12
torch==2.8.0+cu128