olmner-della-7b / README.md
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---
base_model:
- Etherll/Qwen2.5-7B-della-test
- marcuscedricridia/olmner-7b
- ehristoforu/fq2.5-7b-it-normalize_false
library_name: transformers
tags:
- mergekit
- merge
---
πŸ“Š OLMNER-DELLA-7B Benchmark Results
OLMNER-DELLA-7B takes OLMNER to the next level by merging it with a **DELLA-optimized model**, achieving even stronger results!
## πŸ”₯ Performance Scores
| Metric | Score |
|----------------------|--------|
| **Average Score** | **36.35%** |
| **IFEval** | **76.37%** |
| **BBH** | **35.90%** |
| **MATH** | **49.62%** |
| **GPQA** | **6.82%** |
| **MUSR** | **11.80%** |
| **MMLU-PRO** | **37.62%** |
🌍 **Carbon Emission Estimate:** **0.65 kg COβ‚‚**
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: ehristoforu/fq2.5-7b-it-normalize_false
#no parameters necessary for base model
- model: Etherll/Qwen2.5-7B-della-test
parameters:
density: 0.5
weight: 0.5
- model: marcuscedricridia/olmner-7b
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: ehristoforu/fq2.5-7b-it-normalize_false
parameters:
normalize: false
int8_mask: true
dtype: bfloat16
```