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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 Sao10K/L3-8B-Stheno-v3.2 + ResplendentAI/Smarts_Llama3 as a base.
Models Merged
The following models were included in the merge:
- akjindal53244/Llama-3.1-Storm-8B + ResplendentAI/NoWarning_Llama3
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 + kloodia/lora-8b-physic
- NeverSleep/Lumimaid-v0.2-8B + ResplendentAI/Theory_of_Mind_Llama3
- DreadPoor/ScaduTorrent1.1-8b-model_stock + kloodia/lora-8b-medic
- mlabonne/Hermes-3-Llama-3.1-8B-lorablated + 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-physic
- model: akjindal53244/Llama-3.1-Storm-8B+ResplendentAI/NoWarning_Llama3
- model: DreadPoor/ScaduTorrent1.1-8b-model_stock+kloodia/lora-8b-medic
- model: NeverSleep/Lumimaid-v0.2-8B+ResplendentAI/Theory_of_Mind_Llama3
- model: mlabonne/Hermes-3-Llama-3.1-8B-lorablated+kloodia/lora-8b-bio
merge_method: model_stock
base_model: Sao10K/L3-8B-Stheno-v3.2+ResplendentAI/Smarts_Llama3
normalize: false
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 28.98 |
| IFEval (0-Shot) | 72.45 |
| BBH (3-Shot) | 34.44 |
| MATH Lvl 5 (4-Shot) | 14.65 |
| GPQA (0-shot) | 8.95 |
| MuSR (0-shot) | 12.36 |
| MMLU-PRO (5-shot) | 31.04 |
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Model size
8B params
Tensor type
BF16
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard72.450
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard34.440
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard14.650
- acc_norm on GPQA (0-shot)Open LLM Leaderboard8.950
- acc_norm on MuSR (0-shot)Open LLM Leaderboard12.360
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard31.040