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merged

Name: Hermes-low-tune-3.1
Availability: InStock

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

Merge Details

Merge Method

This model was merged using the task arithmetic merge method using teknium/OpenHermes-2.5-Mistral-7B 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

base_model: teknium/OpenHermes-2.5-Mistral-7B
dtype: bfloat16
merge_method: task_arithmetic
slices:
- sources:
  - layer_range: [0, 32]
    model: teknium/OpenHermes-2.5-Mistral-7B
  - layer_range: [0, 32]
    model: nlpguy/Hermes-low-tune-2
    parameters:
      weight: 0.2
  - layer_range: [0, 32]
    model: beowolx/MistralHermes-CodePro-7B-v1
    parameters:
      weight: 0.2
  - layer_range: [0, 32]
    model: flemmingmiguel/Mistrality-7B
    parameters:
      weight: 0.2
  - layer_range: [0, 32]
    model: charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B
    parameters:
      weight: 0.2
  - layer_range: [0, 32]
    model: openaccess-ai-collective/openhermes-2_5-dpo-no-robots
    parameters:
      weight: 0.2

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	68.31
AI2 Reasoning Challenge (25-Shot)	65.44
HellaSwag (10-Shot)	84.60
MMLU (5-Shot)	64.13
TruthfulQA (0-shot)	53.59
Winogrande (5-shot)	78.61
GSM8k (5-shot)	63.46

nlpguy/Hermes-low-tune-3.1