Added GGML Type 3 dequantization capability in transformers
Author: kskd1804
Pull request: yes
Labels: name: Quantization

# What does this PR do?

This PR introduces the `dequantize_q4_1` function which allows users to load Q4_1 quantization models using transformers.

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Fixes # (issue)
https://github.com/huggingface/transformers/issues/31847

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## Who can review?

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@SunMarc 

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Models:

- text models: @ArthurZucker
- vision models: @amyeroberts
- speech models: @sanchit-gandhi
- graph models: @clefourrier

Library:

- flax: @sanchit-gandhi
- generate: @zucchini-nlp (visual-language models) or @gante (all others)
- pipelines: @Narsil
- tensorflow: @gante and @Rocketknight1
- tokenizers: @ArthurZucker
- trainer: @muellerzr and @SunMarc

Integrations:

- deepspeed: HF Trainer/Accelerate: @muellerzr
- ray/raytune: @richardliaw, @amogkam
- Big Model Inference: @SunMarc
- quantization (bitsandbytes, autogpt): @SunMarc

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)

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Comments:
Gentle ping @SunMarc 

Thanks for adding this @kskd1804 ! Going forward, I think it will be better if we use the dequantize function introduced in gguf package. This [PR](https://github.com/huggingface/transformers/pull/32625) should unlock your feature ! Thanks again for contributing.  

The dequantize function PR has been merged !