merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: senseable/WestLake-7B-v2
layer_range: [0, 32]
- model: NeverSleep/Noromaid-7B-0.4-DPO
layer_range: [0, 32]
merge_method: slerp
base_model: senseable/WestLake-7B-v2
parameters:
t:
- filter: self_attn
value: [0.6, 0.7, 0.8, 0.9, 1]
- filter: mlp
value: [0.4, 0.3, 0.2, 0.1, 0]
- value: 0.5
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 69.09 |
| AI2 Reasoning Challenge (25-Shot) | 67.24 |
| HellaSwag (10-Shot) | 86.44 |
| MMLU (5-Shot) | 64.85 |
| TruthfulQA (0-shot) | 51.00 |
| Winogrande (5-shot) | 82.72 |
| GSM8k (5-shot) | 62.32 |
- Downloads last month
- 81
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for saishf/West-Maid-7B
Merge model
this model
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard67.240
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard86.440
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.850
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard51.000
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard82.720
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard62.320