Llama
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Meta-based models
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Model details:
Roleplaying model using SuperNova Lite, Hermes 3 and BigTaker.
This is a merge of pre-trained language models created using mergekit.
Merge Method
This model was merged using the TIES merge method using arcee-ai/Llama-3.1-SuperNova-Lite as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: arcee-ai/Llama-3.1-SuperNova-Lite
#no parameters necessary for base model
- model: NousResearch/Hermes-3-Llama-3.1-8B
parameters:
density: 0.7
weight: 0.7
- model: DavidAU/L3.1-RP-Hero-BigTalker-8B
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: arcee-ai/Llama-3.1-SuperNova-Lite
parameters:
normalize: false
int8_mask: true
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 20.94 |
| IFEval (0-Shot) | 36.89 |
| BBH (3-Shot) | 32.68 |
| MATH Lvl 5 (4-Shot) | 9.97 |
| GPQA (0-shot) | 8.05 |
| MuSR (0-shot) | 11.04 |
| MMLU-PRO (5-shot) | 27.01 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard36.890
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard32.680
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard9.970
- acc_norm on GPQA (0-shot)Open LLM Leaderboard8.050
- acc_norm on MuSR (0-shot)Open LLM Leaderboard11.040
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard27.010