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