MonarchLake-7B

This model equips AlphaMonarch-7B with a strong base of emotional intelligence.

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• macadeliccc/WestLake-7b-v2-laser-truthy-dpo
• mlabonne/AlphaMonarch-7B

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: mlabonne/AlphaMonarch-7B
        layer_range: [0, 32]
      - model: macadeliccc/WestLake-7b-v2-laser-truthy-dpo
        layer_range: [0, 32]
merge_method: slerp
base_model: mlabonne/AlphaMonarch-7B
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.	76.10
AI2 Reasoning Challenge (25-Shot)	74.15
HellaSwag (10-Shot)	89.29
MMLU (5-Shot)	64.44
TruthfulQA (0-shot)	74.97
Winogrande (5-shot)	85.48
GSM8k (5-shot)	68.31