Tiger-7b-v0.1

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

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Metrics

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
• NeuralNovel/Gecko-7B-v0.1-DPO

merge

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
        layer_range: [0, 32]
      - model: NeuralNovel/Gecko-7B-v0.1-DPO
        layer_range: [0, 32]
merge_method: slerp
base_model: NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
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.	65.02
AI2 Reasoning Challenge (25-Shot)	59.98
HellaSwag (10-Shot)	83.21
MMLU (5-Shot)	61.42
TruthfulQA (0-shot)	61.03
Winogrande (5-shot)	77.66
GSM8k (5-shot)	46.78