StarMix-7B-slerp

StarMix-7B-slerp is a merge of the following models using mergekit:

• berkeley-nest/Starling-LM-7B-alpha
• mistralai/Mistral-7B-Instruct-v0.2

🧩 Configuration

slices:
  - sources:
      - model: berkeley-nest/Starling-LM-7B-alpha
        layer_range: [0, 32]
      - model: mistralai/Mistral-7B-Instruct-v0.2
        layer_range: [0, 32]
merge_method: slerp
base_model: mistralai/Mistral-7B-Instruct-v0.2
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.	67.41
AI2 Reasoning Challenge (25-Shot)	65.36
HellaSwag (10-Shot)	85.10
MMLU (5-Shot)	62.57
TruthfulQA (0-shot)	57.81
Winogrande (5-shot)	79.95
GSM8k (5-shot)	53.68