This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: Nitral-AI/Mika-Longtext-7b
layer_range: [0, 32]
- model: ChaoticNeutrals/Prima-LelantaclesV7-experimental-7b
layer_range: [0, 32]
merge_method: slerp
base_model: Nitral-AI/Mika-Longtext-7b
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: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 70.86 |
| AI2 Reasoning Challenge (25-Shot) | 67.66 |
| HellaSwag (10-Shot) | 86.34 |
| MMLU (5-Shot) | 63.29 |
| TruthfulQA (0-shot) | 70.15 |
| Winogrande (5-shot) | 79.79 |
| GSM8k (5-shot) | 57.92 |
- Downloads last month
- 22
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 Nitral-Archive/Mika-Lelantacles-7b-Longtext
Base model
Nitral-AI/Prima-LelantaclesV6.69-7bEvaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard67.660
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard86.340
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard63.290
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard70.150
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard79.790
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard57.920