Model Card for smol_bruin-7b
Slerp merge of go-bruins-v2 and smol-7b.
.yaml file for mergekit
slices:
- sources:
- model: rwitz/go-bruins-v2
layer_range: [0, 32]
- model: rishiraj/smol-7b
layer_range: [0, 32]
merge_method: slerp
base_model: mistralai/Mistral-7B-v0.1
parameters:
t:
- filter: self_attn
value: [0.44, 0.72, 0.61, 0.83, 1]
- filter: mlp
value: [0.56, 0.28, 0.39, 0.17, 0]
- value: 0.5 # fallback for rest of tensors
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 71.05 |
| AI2 Reasoning Challenge (25-Shot) | 67.58 |
| HellaSwag (10-Shot) | 86.48 |
| MMLU (5-Shot) | 65.05 |
| TruthfulQA (0-shot) | 55.65 |
| Winogrande (5-shot) | 81.14 |
| GSM8k (5-shot) | 70.43 |