ZEUS-8B-V17-abliterated
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the passthrough merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: T145/ZEUS-8B-V17
layer_range: [0, 18]
- sources:
# Reasoning: The script used to abliterate V2 & V13 identified layer 19 as the target with the most refusal.
# Substituting the whole layer with that from the uncensored model should effectively abliterate V17 and future similar merges.
- model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
layer_range: [19, 19]
- sources:
- model: T145/ZEUS-8B-V17
layer_range: [20, 32]
merge_method: passthrough
tokenizer_source: T145/ZEUS-8B-V17
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here! Summarized results can be found here!
| Metric | Value (%) |
|---|---|
| Average | 26.50 |
| IFEval (0-Shot) | 75.76 |
| BBH (3-Shot) | 31.52 |
| MATH Lvl 5 (4-Shot) | 2.27 |
| GPQA (0-shot) | 7.16 |
| MuSR (0-shot) | 13.13 |
| MMLU-PRO (5-shot) | 29.13 |
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Evaluation results
- averaged accuracy on IFEval (0-Shot)Open LLM Leaderboard75.760
- normalized accuracy on BBH (3-Shot)test set Open LLM Leaderboard31.520
- exact match on MATH Lvl 5 (4-Shot)test set Open LLM Leaderboard2.270
- acc_norm on GPQA (0-shot)Open LLM Leaderboard7.160
- acc_norm on MuSR (0-shot)Open LLM Leaderboard13.130
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard29.130