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This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Model Stock merge method using Sao10K/L3-8B-Stheno-v3.2 + grimjim/Llama-3-Instruct-abliteration-LoRA-8B as a base.
Models Merged
The following models were included in the merge:
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 + kloodia/lora-8b-bio
- ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1 + Blackroot/Llama-3-8B-Abomination-LORA
- arcee-ai/Llama-3.1-SuperNova-Lite + grimjim/Llama-3-Instruct-abliteration-LoRA-8B
- mlabonne/Hermes-3-Llama-3.1-8B-lorablated + kloodia/lora-8b-physic
- aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored + kloodia/lora-8b-medic
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2+kloodia/lora-8b-bio
- model: arcee-ai/Llama-3.1-SuperNova-Lite+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
- model: mlabonne/Hermes-3-Llama-3.1-8B-lorablated+kloodia/lora-8b-physic
- model: aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored+kloodia/lora-8b-medic
- model: ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1+Blackroot/Llama-3-8B-Abomination-LORA
merge_method: model_stock
base_model: Sao10K/L3-8B-Stheno-v3.2+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
normalize: false
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 28.28 |
| IFEval (0-Shot) | 71.41 |
| BBH (3-Shot) | 32.53 |
| MATH Lvl 5 (4-Shot) | 12.99 |
| GPQA (0-shot) | 8.61 |
| MuSR (0-shot) | 13.46 |
| MMLU-PRO (5-shot) | 30.70 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard71.410
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard32.530
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard12.990
- acc_norm on GPQA (0-shot)Open LLM Leaderboard8.610
- acc_norm on MuSR (0-shot)Open LLM Leaderboard13.460
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard30.700