My Best Models
Collection
These all mark personal achievements in my journey
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7 items
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Updated
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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 |
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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