merged
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the task arithmetic merge method using teknium/OpenHermes-2.5-Mistral-7B as a base.
Models Merged
The following models were included in the merge:
- simonveitner/Math-OpenHermes-2.5-Mistral-7B
- mlabonne/NeuralHermes-2.5-Mistral-7B-laser
- openaccess-ai-collective/dpopenhermes-alpha-v0
- mlabonne/NeuralHermes-2.5-Mistral-7B
Configuration
The following YAML configuration was used to produce this model:
base_model: teknium/OpenHermes-2.5-Mistral-7B
dtype: bfloat16
merge_method: task_arithmetic
slices:
- sources:
- layer_range: [0, 32]
model: teknium/OpenHermes-2.5-Mistral-7B
- layer_range: [0, 32]
model: simonveitner/Math-OpenHermes-2.5-Mistral-7B
parameters:
weight: 0.25
- layer_range: [0, 32]
model: openaccess-ai-collective/dpopenhermes-alpha-v0
parameters:
weight: 0.25
- layer_range: [0, 32]
model: mlabonne/NeuralHermes-2.5-Mistral-7B
parameters:
weight: 0.25
- layer_range: [0, 32]
model: mlabonne/NeuralHermes-2.5-Mistral-7B-laser
parameters:
weight: 0.25
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 68.04 |
| AI2 Reasoning Challenge (25-Shot) | 65.61 |
| HellaSwag (10-Shot) | 84.47 |
| MMLU (5-Shot) | 63.69 |
| TruthfulQA (0-shot) | 53.18 |
| Winogrande (5-shot) | 77.74 |
| GSM8k (5-shot) | 63.53 |