Update README.md

README.md

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 vLLM also supports OpenAI-compatible serving. See the [documentation](https://docs.vllm.ai/en/latest/) for more details.
 
 
+## Creation
+
+We created this model using **MoE-Quant**, a library developed jointly with **ISTA** and tailored for the quantization of very large Mixture-of-Experts (MoE) models.  
+
+For more details, please refer to the [MoE-Quant repository](https://github.com/IST-DASLab/MoE-Quant).
+
 ## Evaluation
 
 The model was evaluated on the OpenLLM leaderboard task (v1) via [lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness), and on popular reasoning tasks (AIME 2024, MATH-500, GPQA-Diamond) via [LightEval](https://github.com/huggingface/open-r1).