Update README.md

README.md

@@ -12,16 +12,5 @@ license: mit
 ## Method
 - We were inspired by this [Sakana project](https://sakana.ai/evolutionary-model-merge/)
 
-## Process
-- you need two models with the same architecture
-- 1. choose one model and fine-tune the model to make a gap between the original one and the fine-tuned one. it doesn't matter the evaluation score is higher or lower.
-- 2. merge two of them
-- 3. evaluate the merged model
-- 4. merge again
-- 5. evaluate again
-- 6. keep going until evaluate avg is higher then original one
-
-that's it. simple.
-
 ## Base Model 
 - [hwkwon/S-SOLAR-10.7B-v1.5](https://huggingface.co/hwkwon/S-SOLAR-10.7B-v1.5)