Repository navigation
[quantization] per-layer quantization plan - #50243
Closed
ArthurZucker wants to merge 15 commits into
Closed
ArthurZucker wants to merge 15 commits into
ArthurZucker wants to merge 15 commits into
Conversation
…d its converters, like the dtype plan Drops the transform scope and the after-load fan-out; adds a CPU test (torchao attention, bnb 4-bit MLP).
…tizers stay unhashed
…wizzles the row-major block scales
…pares one-token logits
…r-layer-quantization
Contributor
|
[For maintainers] Suggested jobs to run (before merge) run-slow: nvfp4 |
|
The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. Pages changed in this PR: |
…r-layer-quantization
…ookup per key, shorter helpers
…r-layer-quantization
…r-layer-quantization
Collaborator
Author
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
A quantization plan,
quantization_config={glob: config}with the dtype plan's matching, loads each layer through its own quantizer's load ops. Tested on a tiny Mistral4 with fp8 and nvfp4 layers (hf-internal-testing/tiny-random-Mistral4-fp8-nvfp4), 3/3 on an RTX PRO 6000.Supersedes #49818 and #49658 (mixing quantization methods per module); overlaps #49779 and #49851 for pre-quantized NVFP4.
Related issues: #38253, #48371, #44292, #46772. Needs huggingface/kernels-community#1291 for fp8 experts.