add 24

README.md

@@ -39,8 +39,8 @@ This is abliterated model of [google/gemma-2-2b-jpn-it](https://huggingface.co/g
 described by mlabonne.
 
 Layer 17 of the original model was chosen for abliteration.
-I also created another layer 18 abliterated model for comparison.
-These two layers were chosen due to they both produce uncensored response 
+I also created another layer 18 and 24 abliterated models for comparison.
+These three layers were chosen due to they both produce uncensored response 
 after respective layer was abliterated.
 
 It is uploaded here to be evaluated by the Open LLM Leaderboard to see how brain damaged it
@@ -57,6 +57,7 @@ Click on the model name go to the raw score json generated by Open LLM Leaderboa
 | [gemma-2-2b-jpn-it](https://huggingface.co/datasets/open-llm-leaderboard/results/blob/main/google/gemma-2-2b-jpn-it/results_2024-10-15T15-21-39.173019.json) | 30.82 | 54.11 | 41.43 | 0.0 | 27.52 | 37.17 | 24.67 |
 | [gemma-2-2b-jpn-it-abliterated-17](https://huggingface.co/datasets/open-llm-leaderboard/results/raw/main/ymcki/gemma-2-2b-jpn-it-abliterated-17/results_2024-10-18T15-18-46.821674.json) | 30.29 | 52.65 | 40.46 | 0.0 | 27.18 | 36.90 | 24.55 |
 | [gemma-2-2b-jpn-it-abliterated-18](https://huggingface.co/datasets/open-llm-leaderboard/results/raw/main/ymcki/gemma-2-2b-jpn-it-abliterated-18/results_2024-10-18T15-41-42.399571.json) | 30.61 | 53.02 | 40.96 | 0.0 | 27.35 | 37.30 | 25.05 |
+| [gemma-2-2b-jpn-it-abliterated-24](https://huggingface.co/datasets/open-llm-leaderboard/results/raw/main/ymcki/gemma-2-2b-jpn-it-abliterated-24/results_2024-10-25T16-29-46.542899.json) | 30.61 | 51.37 | 40.77 | 0.0 | 27.77 | 39.02 | 24.73 |
 
 It is only slightly dumber than the original.