merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
This is another "SOVL" style merge, this time using mlabonne/Daredevil-8B-abliterated.
Daredevil is the first abliterated model i've tried that feels as smart as base llama-3-instruct while also being willing to give instructions to do all kinda of illegal things
This model should do well in rp, I'm yet to test it (waiting for gguf files @_@)
Merge Method
This model was merged using the Model Stock merge method using mlabonne/Daredevil-8B-abliterated as a base.
Models Merged
The following models were included in the merge:
- mlabonne/Daredevil-8B-abliterated + ResplendentAI/RP_Format_QuoteAsterisk_Llama3
- mlabonne/Daredevil-8B-abliterated + ResplendentAI/BlueMoon_Llama3
- mlabonne/Daredevil-8B-abliterated + ResplendentAI/Luna_Llama3
- mlabonne/Daredevil-8B-abliterated + ResplendentAI/Aura_Llama3
- mlabonne/Daredevil-8B-abliterated + ResplendentAI/Smarts_Llama3
Configuration
The following YAML configuration was used to produce this model:
models:
- model: mlabonne/Daredevil-8B-abliterated+ResplendentAI/Aura_Llama3
- model: mlabonne/Daredevil-8B-abliterated+ResplendentAI/Smarts_Llama3
- model: mlabonne/Daredevil-8B-abliterated+ResplendentAI/Luna_Llama3
- model: mlabonne/Daredevil-8B-abliterated+ResplendentAI/BlueMoon_Llama3
- model: mlabonne/Daredevil-8B-abliterated+ResplendentAI/RP_Format_QuoteAsterisk_Llama3
merge_method: model_stock
base_model: mlabonne/Daredevil-8B-abliterated
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 71.86 |
AI2 Reasoning Challenge (25-Shot) | 69.20 |
HellaSwag (10-Shot) | 84.44 |
MMLU (5-Shot) | 68.97 |
TruthfulQA (0-shot) | 57.95 |
Winogrande (5-shot) | 78.14 |
GSM8k (5-shot) | 72.48 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard69.200
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard84.440
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard68.970
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard57.950
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard78.140
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard72.480