Create Zero-Delay_QKV_Compression.md
Author: itsmenick212
Pull request: yes

Added an explanation documentation for Zero-Delay QKV Compression - an LLM inference runtime optimization technique for HuggingFace Transformers.

# What does this PR do?

Added an explanation documentation for Zero-Delay QKV Compression - an LLM inference runtime optimization technique for HuggingFace Transformers.

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Fixes # (issue)


## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
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- [ ] Did you write any new necessary tests?


## Who can review?

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Models:

- text models: @ArthurZucker
- vision models: @amyeroberts, @qubvel
- speech models: @ylacombe, @eustlb
- graph models: @clefourrier

Library:

- flax: @sanchit-gandhi
- generate: @zucchini-nlp (visual-language models) or @gante (all others)
- pipelines: @Rocketknight1
- tensorflow: @gante and @Rocketknight1
- tokenizers: @ArthurZucker
- trainer: @muellerzr and @SunMarc
- chat templates: @Rocketknight1

Integrations:

- deepspeed: HF Trainer/Accelerate: @muellerzr
- ray/raytune: @richardliaw, @amogkam
- Big Model Inference: @SunMarc
- quantization (bitsandbytes, autogpt): @SunMarc @MekkCyber

Documentation: @stevhliu

HF projects:

- accelerate: [different repo](https://github.com/huggingface/accelerate)
- datasets: [different repo](https://github.com/huggingface/datasets)
- diffusers: [different repo](https://github.com/huggingface/diffusers)
- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)

Maintained examples (not research project or legacy):

- Flax: @sanchit-gandhi
- PyTorch: See Models above and tag the person corresponding to the modality of the example.
- TensorFlow: @Rocketknight1

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Comments:
Added an explanation documentation for Zero-Delay QKV Compression - an LLM inference runtime optimization technique for HuggingFace Transformers.

cc @stevhliu to confirm but I think we generally don't add documents like this! In general, a document describing a technique should include full example code and benchmarking of how to use the technique in `transformers`, rather than a high-level conceptual overview.

Sounds like a cool technique, but @Rocketknight1 is correct in that it's not really relevant for Transformers users if they can't use it in the library!

I’ll provide the code as well. Thank you for letting me know. On Dec 18, 2024, at 12:01 PM, Steven Liu ***@***.***> wrote:﻿
Sounds like a cool technique, but @Rocketknight1 is correct in that it's not really relevant for Transformers users if they can't use it in the library!

—Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you authored the thread.Message ID: ***@***.***>

Provided the code to implement it.