Update README.md

README.md

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 This an experimental LASER version of NeuralHermes using [laserRMT](https://github.com/cognitivecomputations/laserRMT).
 
-Special thanks to Fernando Fernandes Neto and Eric Hartford. "Optimizing Large Language Models Using Layer-Selective Rank Reduction and Random Matrix Theory." 2024.
+|                                                Model                                                 |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
+|------------------------------------------------------------------------------------------------------|------:|------:|---------:|-------:|------:|
+|[NeuralHermes-2.5-Mistral-7B-laser](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B-laser)|  43.54|  73.44|     55.26|   42.24|  53.62|
+|[NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B)            |  43.67|  73.24|     55.37|   41.76|  53.51|
+
+Fernando Fernandes Neto and Eric Hartford. "Optimizing Large Language Models Using Layer-Selective Rank Reduction and Random Matrix Theory." 2024.
 
 NeuralHermes is an [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) model that has been further fine-tuned with Direct Preference Optimization (DPO) using the [mlabonne/chatml_dpo_pairs](https://huggingface.co/datasets/mlabonne/chatml_dpo_pairs) dataset. It surpasses the original model on several benchmarks (see results).