Llama
Collection
Meta-based models
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This is a merge of pre-trained language models created using mergekit.
Merge Method
This model was merged using the TIES merge method using nbeerbower/Llama3.1-Allades-8B 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: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
parameters:
density: 0.5
weight: 0.5
- model: DavidAU/L3.1-Dark-Planet-SpinFire-Uncensored-8B
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: nbeerbower/Llama3.1-Allades-8B
parameters:
normalize: true
int8_mask: true
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 20.65 |
| IFEval (0-Shot) | 34.60 |
| BBH (3-Shot) | 23.04 |
| MATH Lvl 5 (4-Shot) | 33.84 |
| GPQA (0-shot) | 7.38 |
| MuSR (0-shot) | 3.92 |
| MMLU-PRO (5-shot) | 21.13 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard34.600
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard23.040
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard33.840
- acc_norm on GPQA (0-shot)Open LLM Leaderboard7.380
- acc_norm on MuSR (0-shot)Open LLM Leaderboard3.920
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard21.130