Bagel-Hermes-34B-Slerp

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:

• Nous-Hermes-2-Yi-34B
• bagel-dpo-34b-v0.2
• nontoxic-bagel-34b-v0.2

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: bagel-dpo-34b-v0.2
        layer_range: [0, 60]
      - model: Nous-Hermes-2-Yi-34B
        layer_range: [0, 60]

merge_method: slerp
base_model: nontoxic-bagel-34b-v0.2

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
tokenizer_source: union
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	75.24
AI2 Reasoning Challenge (25-Shot)	70.73
HellaSwag (10-Shot)	85.68
MMLU (5-Shot)	77.29
TruthfulQA (0-shot)	67.09
Winogrande (5-shot)	84.37
GSM8k (5-shot)	66.26