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/Llama-3.1-8B-Stheno-v3.4 + 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
- mlabonne/Hermes-3-Llama-3.1-8B-lorablated + kloodia/lora-8b-bio
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 + kloodia/lora-8b-physic
- DreadPoor/ScaduTorrent1.1-8b-model_stock + kloodia/lora-8b-medic
- NeverSleep/Lumimaid-v0.2-8B + ResplendentAI/Theory_of_Mind_Llama3
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/Llama-3.1-8B-Stheno-v3.4+ResplendentAI/Smarts_Llama3
normalize: false
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 27.53 |
IFEval (0-Shot) | 71.84 |
BBH (3-Shot) | 32.35 |
MATH Lvl 5 (4-Shot) | 13.60 |
GPQA (0-shot) | 6.82 |
MuSR (0-shot) | 9.75 |
MMLU-PRO (5-shot) | 30.80 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard71.840
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard32.350
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard13.600
- acc_norm on GPQA (0-shot)Open LLM Leaderboard6.820
- acc_norm on MuSR (0-shot)Open LLM Leaderboard9.750
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard30.800