Update README.md

README.md

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 ---
+license: other
+library_name: transformers
+tags:
+- 4-bit
+- AWQ
+- text-generation
+- autotrain_compatible
+- endpoints_compatible
+- merge
+- mergekit
+- lazymergekit
+- llama
+base_model:
+- NousResearch/Meta-Llama-3-8B-Instruct
+- mlabonne/OrpoLlama-3-8B
+- Locutusque/Llama-3-Orca-1.0-8B
+- abacusai/Llama-3-Smaug-8B
+pipeline_tag: text-generation
 inference: false
+quantized_by: Suparious
 ---
 # mlabonne/ChimeraLlama-3-8B AWQ
 
-** PROCESSING .... ETA 30mins **
-
 - Model creator: [mlabonne](https://huggingface.co/mlabonne)
 - Original model: [ChimeraLlama-3-8B](https://huggingface.co/mlabonne/ChimeraLlama-3-8B)
 
+## Model Summary
+
+ChimeraLlama-3-8B outperforms Llama 3 8B Instruct on Nous' benchmark suite.
+
+ChimeraLlama-3-8B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)
+* [mlabonne/OrpoLlama-3-8B](https://huggingface.co/mlabonne/OrpoLlama-3-8B)
+* [Locutusque/Llama-3-Orca-1.0-8B](https://huggingface.co/Locutusque/Llama-3-Orca-1.0-8B)
+* [abacusai/Llama-3-Smaug-8B](https://huggingface.co/abacusai/Llama-3-Smaug-8B)
+
 ### About AWQ
 
 AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. Compared to GPTQ, it offers faster Transformers-based inference with equivalent or better quality compared to the most commonly used GPTQ settings.