This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: Nitral-AI/Mika-Longtext-7b
layer_range: [0, 32]
- model: ChaoticNeutrals/Prima-LelantaclesV7-experimental-7b
layer_range: [0, 32]
merge_method: slerp
base_model: Nitral-AI/Mika-Longtext-7b
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 70.86 |
| AI2 Reasoning Challenge (25-Shot) | 67.66 |
| HellaSwag (10-Shot) | 86.34 |
| MMLU (5-Shot) | 63.29 |
| TruthfulQA (0-shot) | 70.15 |
| Winogrande (5-shot) | 79.79 |
| GSM8k (5-shot) | 57.92 |
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Model tree for Nitral-Archive/Mika-Lelantacles-7b-Longtext
Base model
ChaoticNeutrals/Prima-LelantaclesV6.69-7bEvaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard67.660
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard86.340
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard63.290
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard70.150
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard79.790
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard57.920