My Best Models
Collection
These all mark personal achievements in my journey
•
7 items
•
Updated
•
4
Neurotic-Jomainotrik-7b-slerp
Neurotic-Jomainotrik-7b-slerp is a merge of the following models using mergekit:
🧩 Configuration
slices:
- sources:
- model: liminerity/merge
layer_range: [0, 32]
- model: bardsai/jaskier-7b-dpo-v5.6
layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/merge
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 76.40 |
| AI2 Reasoning Challenge (25-Shot) | 72.95 |
| HellaSwag (10-Shot) | 89.15 |
| MMLU (5-Shot) | 64.28 |
| TruthfulQA (0-shot) | 77.64 |
| Winogrande (5-shot) | 85.40 |
| GSM8k (5-shot) | 68.99 |
- Downloads last month
- 77
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 liminerity/Neurotic-Jomainotrik-7b-slerp
Collection including liminerity/Neurotic-Jomainotrik-7b-slerp
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard72.950
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard89.150
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.280
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard77.640
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard85.400
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard68.990