Open_Maid_Samantha_Hermes_Orca_dare_tiesv0.1
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using mistralai/Mistral-7B-v0.1 as a base.
Models Merged
The following models were included in the merge:
- teknium/OpenHermes-2.5-Mistral-7B
- NeverSleep/Noromaid-7B-0.4-DPO
- Open-Orca/Mistral-7B-OpenOrca
- cognitivecomputations/samantha-1.1-westlake-7b
Configuration
The following YAML configuration was used to produce this model:
models:
- model: mistralai/Mistral-7B-v0.1
# No parameters necessary for base model
- model: cognitivecomputations/samantha-1.1-westlake-7b
parameters:
density: 0.59
weight: 0.15
- model: NeverSleep/Noromaid-7B-0.4-DPO
parameters:
density: 0.59
weight: 0.3
- model: teknium/OpenHermes-2.5-Mistral-7B
parameters:
density: 0.49
weight: 0.3
- model: Open-Orca/Mistral-7B-OpenOrca
parameters:
density: 0.49
weight: 0.25
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 67.80 |
AI2 Reasoning Challenge (25-Shot) | 65.87 |
HellaSwag (10-Shot) | 85.48 |
MMLU (5-Shot) | 64.50 |
TruthfulQA (0-shot) | 51.92 |
Winogrande (5-shot) | 80.35 |
GSM8k (5-shot) | 58.68 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard65.870
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard85.480
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.500
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard51.920
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard80.350
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard58.680