Add LoRAX to usage options in README.

[arnavgarg1]

This PR updates the README to add another usage option for EETQ through a new open-source framework called LoRAX, which allows users to serve thousands of fine-tuned models on a single GPU.

LoRAX: https://predibase.github.io/lorax/

Docs in LoRAX for EETQ: https://predibase.github.io/lorax/guides/quantization/#eetq

PR to add EETQ support into LoRAX: predibase/lorax@1be43cf

[SidaZh]

Excellent project, and thank you very much for introducing EETQ.

[SidaZh]

We have some recent updates that will help improve performance for small batch size. Welcome to continue following. @arnavgarg1

[arnavgarg1]

We have some recent updates that will help improve performance for small batch size. Welcome to continue following. @arnavgarg1

That sounds fantastic, I will keep a lookout and give it a try. Happy to report performance numbers back if it's useful!

[SidaZh]

We have some recent updates that will help improve performance for small batch size. Welcome to continue following. @arnavgarg1

That sounds fantastic, I will keep a lookout and give it a try. Happy to report performance numbers back if it's useful!

We verified the effect and submitted it to the TGI community. You can see the performance data in this PR.