merge

Name: Kuno-Lake-7B
Availability: InStock

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

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using mistralai/Mistral-7B-v0.1 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml

models:
  - model: mistralai/Mistral-7B-v0.1
    # No parameters necessary for base model
  - model: senseable/WestLake-7B-v2
    parameters:
      density: 0.53
      weight: 0.65
  - model: SanjiWatsuki/Kunoichi-DPO-v2-7B
    parameters:
      density: 0.53
      weight: 0.35
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	73.56
AI2 Reasoning Challenge (25-Shot)	71.84
HellaSwag (10-Shot)	88.15
MMLU (5-Shot)	64.76
TruthfulQA (0-shot)	66.83
Winogrande (5-shot)	84.45
GSM8k (5-shot)	65.35

saishf/Kuno-Lake-7B