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 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard68.000
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard85.410
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard62.780
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard56.220
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard80.580
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard60.730