saishf/West-Maid-7B

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• senseable/WestLake-7B-v2
• NeverSleep/Noromaid-7B-0.4-DPO

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: senseable/WestLake-7B-v2
        layer_range: [0, 32]
      - model: NeverSleep/Noromaid-7B-0.4-DPO
        layer_range: [0, 32]
merge_method: slerp
base_model: senseable/WestLake-7B-v2
parameters:
  t:
    - filter: self_attn
      value: [0.6, 0.7, 0.8, 0.9, 1]
    - filter: mlp
      value: [0.4, 0.3, 0.2, 0.1, 0]
    - value: 0.5
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	69.09
AI2 Reasoning Challenge (25-Shot)	67.24
HellaSwag (10-Shot)	86.44
MMLU (5-Shot)	64.85
TruthfulQA (0-shot)	51.00
Winogrande (5-shot)	82.72
GSM8k (5-shot)	62.32