Trinas_Nectar-8B-model_stock
This model hopes to be an improvement over ONeil
Trinas_Nectar-8B-model_stock is a merge of the following models using mergekit:
🧩 Configuration
models:
- model: vicgalle/Configurable-Llama-3.1-8B-Instruct
- model: cognitivecomputations/dolphin-2.9.4-llama3.1-8b
- model: NousResearch/Hermes-3-Llama-3.1-8B
- model: NeverSleep/Lumimaid-v0.2-8B
- model: DreadPoor/ScaduTorrent-8B-model_stock
merge_method: model_stock
base_model: Sao10K/L3-8B-Stheno-v3.2
normalize: false
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 27.27 |
| IFEval (0-Shot) | 72.59 |
| BBH (3-Shot) | 31.98 |
| MATH Lvl 5 (4-Shot) | 13.75 |
| GPQA (0-shot) | 4.81 |
| MuSR (0-shot) | 11.41 |
| MMLU-PRO (5-shot) | 29.09 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard72.590
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard31.980
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard13.750
- acc_norm on GPQA (0-shot)Open LLM Leaderboard4.810
- acc_norm on MuSR (0-shot)Open LLM Leaderboard11.410
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard29.090