IceMochaccinoRP-7b
This is a merge of pre-trained language models created using mergekit.
Merge Details
For mergers!
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
- IceCappuccinoRP-multi_verse_model
- IceCappuccinoRP-IceCoffeeRP-7b
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: IceCappuccinoRP-IceCoffeeRP-7b
layer_range: [0, 32]
- model: IceCappuccinoRP-multi_verse_model
layer_range: [0, 32]
merge_method: slerp
base_model: IceCappuccinoRP-multi_verse_model
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 # fallback for rest of tensors
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 68.95 |
| AI2 Reasoning Challenge (25-Shot) | 68.00 |
| HellaSwag (10-Shot) | 85.41 |
| MMLU (5-Shot) | 62.78 |
| TruthfulQA (0-shot) | 56.22 |
| Winogrande (5-shot) | 80.58 |
| GSM8k (5-shot) | 60.73 |