merge
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 Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base as a base.
Models Merged
The following models were included in the merge:
- Nekochu/Luminia-8B-RP + ResplendentAI/Smarts_Llama3
- refuelai/Llama-3-Refueled + Blackroot/Llama-3-8B-Abomination-LORA
- akjindal53244/Llama-3.1-Storm-8B + kloodia/lora-8b-physic
- Replete-AI/L3-Pneuma-8B + ResplendentAI/NoWarning_Llama3
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 + kloodia/lora-8b-bio
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: akjindal53244/Llama-3.1-Storm-8B+kloodia/lora-8b-physic
- model: refuelai/Llama-3-Refueled+Blackroot/Llama-3-8B-Abomination-LORA
- model: Replete-AI/L3-Pneuma-8B+ResplendentAI/NoWarning_Llama3
- model: Nekochu/Luminia-8B-RP+ResplendentAI/Smarts_Llama3
merge_method: model_stock
base_model: Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base
normalize: false
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here! Summarized results can be found here!
| Metric | Value (%) |
|---|---|
| Average | 29.98 |
| IFEval (0-Shot) | 76.76 |
| BBH (3-Shot) | 35.37 |
| MATH Lvl 5 (4-Shot) | 17.22 |
| GPQA (0-shot) | 7.05 |
| MuSR (0-shot) | 10.08 |
| MMLU-PRO (5-shot) | 33.38 |