s3nh/Mistral_Sonyichi-7B-slerp

merged

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:

• SanjiWatsuki/Sonya-7B
• EmbeddedLLM/Mistral-7B-Merge-14-v0.1
• SanjiWatsuki/Kunoichi-7B

Configuration

The following YAML configuration was used to produce this model:

base_model: EmbeddedLLM/Mistral-7B-Merge-14-v0.1
dtype: bfloat16
merge_method: slerp
parameters:
  t:
  - filter: self_attn
    value: [0.0, 0.5, 0.3, 0.7, 1.0]
  - filter: mlp
    value: [1.0, 0.5, 0.7, 0.3, 0.0]
  - value: 0.5
slices:
- sources:
  - layer_range: [0, 32]
    model: SanjiWatsuki/Sonya-7B
  - layer_range: [0, 32]
    model: SanjiWatsuki/Kunoichi-7B

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	70.52
AI2 Reasoning Challenge (25-Shot)	67.49
HellaSwag (10-Shot)	86.43
MMLU (5-Shot)	63.58
TruthfulQA (0-shot)	63.25
Winogrande (5-shot)	78.53
GSM8k (5-shot)	63.84