Add GPTQ/Marlin paper citation (#519)

Author: Qubitium

README.md

@@ -1,5 +1,5 @@
 <h1 align="center">GPTQModel</h1>
-<p align="center">GPTQ based LLM model compression/quantization toolkit with accelerated inference support for both cpu/gpu via HF, vLLM, and SGLang.</p>
+<p align="center">Production ready LLM model compression/quantization toolkit with accelerated inference support for both cpu/gpu via HF, vLLM, and SGLang.</p>
 <p align="center">
     <a href="https://github.com/ModelCloud/GPTQModel/releases" style="text-decoration:none;"><img alt="GitHub release" src="https://img.shields.io/github/release/ModelCloud/GPTQModel.svg"></a>
     <a href="https://pypi.org/project/gptqmodel/" style="text-decoration:none;"><img alt="PyPI - Downloads" src="https://img.shields.io/pypi/dm/gptqmodel"></a>
@@ -286,3 +286,20 @@ GPTQModel will use Marlin, Exllama v2, Triton kernels in that order for maximum
 * **Qwopqwop200**: for quantization code used in this project adapted from [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa/tree/cuda).
 * **Turboderp**: for releasing [Exllama v1](https://github.com/turboderp/exllama) and [Exllama v2](https://github.com/turboderp/exllamav2) kernels adapted for use in this project.
 * **FpgaMiner**: for [GPTQ-Triton](https://github.com/fpgaminer/GPTQ-triton) kernels used in [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa/tree/cuda) which is adapted into this project.
+
+## Cite
+```
+@article{frantar2024marlin,
+  title={MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models},
+  author={Frantar, Elias and Castro, Roberto L and Chen, Jiale and Hoefler, Torsten and Alistarh, Dan},
+  journal={arXiv preprint arXiv:2408.11743},
+  year={2024}
+}
+
+@article{frantar-gptq,
+  title={{GPTQ}: Accurate Post-training Compression for Generative Pretrained Transformers}, 
+  author={Elias Frantar and Saleh Ashkboos and Torsten Hoefler and Dan Alistarh},
+  year={2022},
+  journal={arXiv preprint arXiv:2210.17323}
+}
+```