WestOrcaNeural-V2-DARETIES-7B
WestOrcaNeural-V2-DARETIES-7B is a merge of the following models using mergekit:
🧩 Configuration
models:
- model: mistralai/Mistral-7B-v0.1
# no parameters necessary for base model
- model: decruz07/kellemar-DPO-Orca-Distilled-7B-SLERP
parameters:
density: 0.6
weight: 0.35
- model: senseable/WestLake-7B-v2
parameters:
density: 0.65
weight: 0.4
- model: mlabonne/NeuralBeagle14-7B
parameters:
density: 0.55
weight: 0.25
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
int8_mask: true
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 74.53 |
| AI2 Reasoning Challenge (25-Shot) | 72.10 |
| HellaSwag (10-Shot) | 88.21 |
| MMLU (5-Shot) | 64.64 |
| TruthfulQA (0-shot) | 67.81 |
| Winogrande (5-shot) | 83.74 |
| GSM8k (5-shot) | 70.66 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard72.100
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard88.210
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.640
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard67.810
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard83.740
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard70.660