threebird
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the TIES merge method using mistralai/Mistral-7B-v0.1 as a base.
Models Merged
The following models were included in the merge:
- S-miguel/The-Trinity-Coder-7B
- macadeliccc/WestLake-7B-v2-laser-truthy-dpo
- bobofrut/ladybird-base-7B-v8
Configuration
The following YAML configuration was used to produce this model:
models:
- model: bobofrut/ladybird-base-7B-v8
parameters:
density: 1.0
weight: 1.0
- model: S-miguel/The-Trinity-Coder-7B
parameters:
density: 1.0
weight: 1.0
- model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo
parameters:
density: 1.0
weight: 1.0
base_model: mistralai/Mistral-7B-v0.1
merge_method: ties
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 74.92 |
| AI2 Reasoning Challenge (25-Shot) | 72.44 |
| HellaSwag (10-Shot) | 87.82 |
| MMLU (5-Shot) | 65.02 |
| TruthfulQA (0-shot) | 67.61 |
| Winogrande (5-shot) | 84.93 |
| GSM8k (5-shot) | 71.72 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard72.440
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard87.820
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard65.020
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard67.610
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard84.930
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard71.720