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Model details:
The dark side of chivalry...
Big thanks to crestfall and ValientLabs for the models to merge.
Feedback is welcome.
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the TIES merge method using ValiantLabs/Llama3.1-8B-ShiningValiant2 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: crestf411/L3.1-8B-Slush-v1.1
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: ValiantLabs/Llama3.1-8B-ShiningValiant2
parameters:
normalize: false
int8_mask: true
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 21.65 |
| IFEval (0-Shot) | 43.26 |
| BBH (3-Shot) | 28.03 |
| MATH Lvl 5 (4-Shot) | 12.99 |
| GPQA (0-shot) | 5.82 |
| MuSR (0-shot) | 12.64 |
| MMLU-PRO (5-shot) | 27.16 |
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the model is not deployed on the HF Inference API.
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard43.260
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard28.030
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard12.990
- acc_norm on GPQA (0-shot)Open LLM Leaderboard5.820
- acc_norm on MuSR (0-shot)Open LLM Leaderboard12.640
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard27.160