Update README.md

README.md

@@ -16,6 +16,8 @@ language:
 
 # 👑 NeuralMonarch-7B
 
+**Update 14/02/24: NeuralMonarch-7B is the new best-performing 7B model on Nous' benchmark suite! 🎉**
+
 NeuralMonarch-7B is a DPO fine-tuned of [mlabonne/Monarch-7B](https://huggingface.co/mlabonne/Monarch-7B/) using the [jondurbin/truthy-dpo-v0.1](https://huggingface.co/datasets/jondurbin/truthy-dpo-v0.1) and [argilla/distilabel-intel-orca-dpo-pairs](https://huggingface.co/datasets/argilla/distilabel-intel-orca-dpo-pairs) preference datasets.
 
 It is based on a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
@@ -27,13 +29,13 @@ Special thanks to [Jon Durbin](https://huggingface.co/jondurbin), [Intel](https:
 
 ## 🔍 Applications
 
-This model uses a context window of 8k. It is compatible with different templates, like chatml, Llama's and Mistral's chat templates.
+This model uses a context window of 8k. It is compatible with the following chat templates (tested with LM Studio): Alpaca, ChatML, and Mistral Instruct.
 
 Compared to other 7B models, it displays good performance in instruction following and reasoning tasks. It can also be used for RP and storytelling.
 
 ## ⚡ Quantized models
 
-* **GGUF**: TBD
+* **GGUF**: https://huggingface.co/mlabonne/NeuralMonarch-7B-GGUF
 
 ## 🏆 Evaluation
 
@@ -41,6 +43,7 @@ The evaluation was performed using [LLM AutoEval](https://github.com/mlabonne/ll
 
 | Model | Average | AGIEval | GPT4All | TruthfulQA | Bigbench |
 |---|---:|---:|---:|---:|---:|
+| [**NeuralMonarch-7B**](https://huggingface.co/mlabonne/NeuralMonarch-7B) [📄](https://gist.github.com/mlabonne/64050c96c6aa261a8f5b403190c8dee4) | **62.73** | **45.31** | **76.99** | **78.35** | **50.28** |
 | [Monarch-7B](https://huggingface.co/mlabonne/Monarch-7B) [📄](https://gist.github.com/mlabonne/0b8d057c5ece41e0290580a108c7a093) | 62.68 | 45.48 | 77.07 | 78.04 | 50.14 |
 | [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) [📄](https://gist.github.com/mlabonne/88b21dd9698ffed75d6163ebdc2f6cc8) | 52.42 | 42.75 | 72.99 | 52.99 | 40.94 |
 | [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B) [📄](https://gist.github.com/mlabonne/14687f1eb3425b166db511f31f8e66f6) | 53.51 | 43.67 | 73.24 | 55.37 | 41.76 |