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This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the task_anysize merge method using senseable/WestLake-7B-v2 as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model:
model:
path: senseable/WestLake-7B-v2
dtype: bfloat16
merge_method: task_anysize
slices:
- sources:
- layer_range: [0, 32]
model:
model:
path: chargoddard/piano-medley-7b
parameters:
weight: 0.55
- layer_range: [0, 32]
model:
model:
path: senseable/WestLake-7B-v2
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 74.03 |
| AI2 Reasoning Challenge (25-Shot) | 72.18 |
| HellaSwag (10-Shot) | 88.52 |
| MMLU (5-Shot) | 64.43 |
| TruthfulQA (0-shot) | 66.72 |
| Winogrande (5-shot) | 86.58 |
| GSM8k (5-shot) | 65.73 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard72.180
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard88.520
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.430
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard66.720
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard86.580
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard65.730