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Slerp merge method from 2 models:1slices:
2 - sources:
3 - model: Weyaxi/Seraph-7B
4 layer_range: [0, 32]
5
6 - model: AIDC-ai-business/Marcoroni-7B-v3
7 layer_range: [0, 32]
8merge_method: slerp
9base_model: mistralai/Mistral-7B-v0.1
10parameters:
11 t:
12 - filter: self_attn
13 value: [0, 0.5, 0.3, 0.7, 1]
14 - filter: mlp
15 value: [1, 0.5, 0.7, 0.3, 0]
16 - value: 0.5
17dtype: bfloat161337 with OpenAI compatible endpoints
| Metric | Value |
|---|---|
| Avg. | 72.32 |
| ARC (25-shot) | 68.94 |
| HellaSwag (10-shot) | 86.58 |
| MMLU (5-shot) | 64.93 |
| TruthfulQA (0-shot) | 60.11 |
| Winogrande (5-shot) | 81.29 |
| GSM8K (5-shot) | 72.1 |
| Metric | Value |
|---|---|
| Avg. | 72.32 |
| AI2 Reasoning Challenge (25-Shot) | 68.94 |
| HellaSwag (10-Shot) | 86.58 |
| MMLU (5-Shot) | 64.93 |
| TruthfulQA (0-shot) | 60.11 |
| Winogrande (5-shot) | 81.29 |
| GSM8k (5-shot) | 72.10 |