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ZEUS 8B 🌩️ V13
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Merge Details
Merge Method
This model was merged using the DARE TIES merge method using unsloth/Meta-Llama-3.1-8B-Instruct as a base.
Models Merged
The following models were included in the merge:
- arcee-ai/Llama-3.1-SuperNova-Lite
- unsloth/Llama-3.1-Storm-8B
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
Configuration
The following YAML configuration was used to produce this model:
base_model: unsloth/Meta-Llama-3.1-8B-Instruct
dtype: bfloat16
merge_method: dare_ties
parameters:
int8_mask: 1.0
normalize: 1.0
random_seed: 145.0
slices:
- sources:
- layer_range: [0, 32]
model: unsloth/Llama-3.1-Storm-8B
parameters:
density: 0.95
weight: 0.33
- layer_range: [0, 32]
model: arcee-ai/Llama-3.1-SuperNova-Lite
parameters:
density: 0.9
weight: 0.29
- layer_range: [0, 32]
model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
parameters:
density: 0.92
weight: 0.38
- layer_range: [0, 32]
model: unsloth/Meta-Llama-3.1-8B-Instruct
tokenizer_source: union
Open LLM Leaderboard Evaluation Results
Detailed results can be found here! Summarized results can be found here!
| Metric | Value (%) |
|---|---|
| Average | 30.50 |
| IFEval (0-Shot) | 79.04 |
| BBH (3-Shot) | 32.73 |
| MATH Lvl 5 (4-Shot) | 20.62 |
| GPQA (0-shot) | 9.84 |
| MuSR (0-shot) | 8.39 |
| MMLU-PRO (5-shot) | 32.35 |
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Evaluation results
- averaged accuracy on IFEval (0-Shot)Open LLM Leaderboard79.040
- normalized accuracy on BBH (3-Shot)test set Open LLM Leaderboard32.730
- exact match on MATH Lvl 5 (4-Shot)test set Open LLM Leaderboard20.620
- acc_norm on GPQA (0-shot)Open LLM Leaderboard9.840
- acc_norm on MuSR (0-shot)Open LLM Leaderboard8.390
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard32.350