dhbacmes-3b-slerp
dhbacmes-3b-slerp is a merge of the following models using mergekit:
🧩 Configuration
slices:
- sources:
- model: liminerity/herbaccbaccules-3b-slerp
layer_range: [0, 40]
- model: KnutJaegersberg/Deita-2b
layer_range: [0, 40]
merge_method: slerp
base_model: liminerity/herbaccbaccules-3b-slerp
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. | 53.02 |
| AI2 Reasoning Challenge (25-Shot) | 45.22 |
| HellaSwag (10-Shot) | 70.77 |
| MMLU (5-Shot) | 52.94 |
| TruthfulQA (0-shot) | 40.41 |
| Winogrande (5-shot) | 65.11 |
| GSM8k (5-shot) | 43.67 |
- Downloads last month
- 65
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.
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard45.220
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard70.770
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard52.940
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard40.410
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard65.110
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard43.670