Fine
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 mlabonne/AlphaMonarch-7B as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
merge_method: dare_ties
base_model: mlabonne/AlphaMonarch-7B
parameters:
normalize: true
models:
- model: jeiku/Luna_7B
parameters:
weight: 0.75
- model: jeiku/Cookie_7B
parameters:
weight: 1
- model: jeiku/NarrativeNexus_7B
parameters:
weight: 0.5
- model: CultriX/NeuralTrix-bf16
parameters:
weight: 0.75
- model: mlabonne/AlphaMonarch-7B
parameters:
weight: 1
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 72.05 |
| AI2 Reasoning Challenge (25-Shot) | 70.31 |
| HellaSwag (10-Shot) | 87.28 |
| MMLU (5-Shot) | 64.51 |
| TruthfulQA (0-shot) | 65.79 |
| Winogrande (5-shot) | 81.61 |
| GSM8k (5-shot) | 62.77 |
- Downloads last month
- 72
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for ChaoticNeutrals/This_is_fine_7B
Merge model
this model
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard70.310
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard87.280
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.510
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard65.790
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard81.610
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard62.770