Update README.md

README.md

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 This was an experiment.
-I got the delta between [mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated](https://huggingface.co/mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated) and [meta-llama/Llama-3.1-8B-Instruct)](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) and applied that on the common layers from [ICTNLP/Llama-3.1-8B-Omni](https://huggingface.co/ICTNLP/Llama-3.1-8B-Omni).
+I got the delta between [mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated](https://huggingface.co/mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated) and [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) and applied that on the common layers from [ICTNLP/Llama-3.1-8B-Omni](https://huggingface.co/ICTNLP/Llama-3.1-8B-Omni).
 
 The intention was to see if the Omni model can gain abliterated functions.
-The result (this model) is coherent, but it's not 100% uncensored. The reason most probably has to do with the way the Omni model was trained (during the finetuning process for omni, the llama layers received completely different tokens than a standard LLM).
+The result (this model) is coherent, but it's not 100% uncensored. The reason most probably has to do with the way the Omni model was trained.